Ishraga Allam | Statistical Modeling and Simulation | Mathematical Statistics Award

Published on by Statistics

Mathematical Statistics Award

Ishraga Allam,
University of Khartoum, Khartoum, Sudan

Ishraga Allam
Affiliation University of Khartoum, Khartoum, Sudan
Country Egypt
Documents 207
Subject Area Analysis of Variance
Event World Statistics Awards
ORCID 0009-0005-7615-0077

The Mathematical Statistics Award recognizes research and scholarly contributions to statistical theory, quantitative analysis, and evidence-based interpretation. This article presents the supplied academic profile of Ishraga Allam, whose stated subject area is analysis of variance (ANOVA), and outlines the relevance of mathematical statistics to research and statistical practice. [1] [2]

Abstract

This article outlines the academic profile of Ishraga Allam in relation to mathematical statistics and analysis of variance. The supplied information identifies an institutional affiliation, an ORCID profile, and 207 reported documents. Publication-level evidence, citation metrics, and independently verified research outcomes are not provided; therefore, specific achievements require further verification. [1] [2]

Keywords

Mathematical statistics; analysis of variance; ANOVA; statistical inference; probability theory; quantitative research; statistical modelling; experimental design; data analysis; academic research. These terms describe the subject area and related methodological concepts rather than verified titles of the researcher’s individual publications. [1] [3]

Introduction

Mathematical statistics provides theoretical foundations for interpreting data, estimating parameters, testing hypotheses, and quantifying uncertainty. Analysis of variance (ANOVA) is widely used to examine differences among group means under appropriate assumptions. This article introduces Ishraga Allam’s supplied research profile and contextualizes the stated subject area within contemporary statistical practice. [1] [2]

Research Profile

Ishraga Allam is listed in the supplied information as affiliated with the University of Khartoum in Khartoum, Sudan, with ANOVA identified as the subject area. The profile reports 207 documents and provides an ORCID identifier for researcher discovery. Individual publication records, research appointments, and bibliometric indicators should be checked against authoritative sources. [1] [3]

Research Contributions

Research in mathematical statistics can contribute methods for experimental design, hypothesis testing, model evaluation, and reliable interpretation of quantitative evidence. ANOVA supports comparisons across multiple groups when its assumptions and study design are suitable. Specific contributions attributable to Ishraga Allam cannot be established from the supplied profile alone and require examination of individual studies. [2] [3]

Publications

The supplied profile reports 207 documents associated with the researcher; however, a complete bibliography, publication titles, journal names, publication dates, and DOI identifiers were not provided. Individual records should be verified through the researcher’s ORCID profile and relevant scholarly databases before citation. No specific publication or DOI is attributed here without supporting bibliographic evidence. [1] [4]

Research Impact

Research impact may be assessed through citation patterns, methodological reuse, collaboration, reproducibility, and documented applications in scientific or practical settings. The reported document count offers one preliminary indicator of research activity but does not independently establish influence or quality. Citation totals, h-index, and evidence of practical outcomes remain unavailable for this profile. [1] [2]

Award Suitability

The Mathematical Statistics Award may be relevant to researchers whose verified work advances statistical theory, analytical techniques, or applications of quantitative methods. The stated ANOVA subject area provides a potential point of alignment. A fair assessment of Ishraga Allam’s suitability requires publication verification, evidence of originality, documented research impact, and evaluation against the award’s official criteria. [2] [4]

Conclusion

Ishraga Allam’s supplied profile connects the researcher with the University of Khartoum and identifies ANOVA as a relevant subject area. The reported document count provides preliminary bibliometric context, while further evidence is needed to establish specific contributions and impact. Verified records and transparent assessment criteria are essential for responsible academic recognition. [1] [2]

References

  1. ORCID. (n.d.). ORCID record for Ishraga Allam. ORCID. The identifier was supplied in the source information; the record’s contents should be consulted to verify biographical and publication details.

    https://orcid.org/0009-0005-7615-0077

  2. Allam, I. M. A. (2026). A comparative study of Gabriel’s multiple comparison test: C implementation vs Python implementation

    https://doi.org/10.13140/RG.2.2.28684.88967

  3. Allam, I. M. A. (2026, March 9). A Python implementation of the Kaplan–Meier estimator for survival analysis.

    https://doi.org/10.13140/RG.2.2.12808.07686

  4. Allam, I. M. A. (2026, September 19). Hazen proportion estimation: A research paper on formula, implementation, and applications.

    https://doi.org/10.13140/RG.2.2.25427.95525

Mohamed Momtaz | Operations Research and Statistical Optimization | Editorial Board Member

Published on by Statistics

Editorial Board Member

Mohamed Momtaz,
Tanta University.

Mohamed Momtaz
Affiliation Tanta University
Country Egypt
Scopus ID 57218249607
Documents 5
Citations 12
h-index 3
Subject Area Pharmaceutical industry
Event World Statistics Award
ORCID 0000-0003-4145-1863

Mohamed Momtaz is a researcher affiliated with Tanta University in Egypt, with a recorded research profile in the pharmaceutical industry. The supplied bibliometric information lists five documents, twelve citations, and an h-index of three. This article presents his available profile details in the context of academic recognition and research engagement. [1] [2]

Abstract

This article summarizes the supplied academic profile of Mohamed Momtaz, affiliated with Tanta University, Egypt, and associated with the pharmaceutical industry subject area. The profile records five research documents, twelve citations, and an h-index of three. Researcher identifiers and public profile links are provided for identification and further verification. The available information supports a concise overview of his academic record, while detailed publication titles, methods, and individual research findings require confirmation from the original bibliographic records.[1] [2]

Keywords

Mohamed Momtaz; Tanta University; Egypt; pharmaceutical industry; academic research; bibliometrics; scholarly publications; citation analysis; h-index; ORCID; Scopus author profile; World Statistics Award. [2] [4]

Introduction

Academic profiles help readers identify researchers, explore their scholarly activities, and understand their publication records. Mohamed Momtaz is affiliated with Tanta University in Egypt and is associated with the pharmaceutical industry subject area. His supplied bibliometric indicators provide a starting point for reviewing his research record. Further interpretation requires examining individual publications, research methods, and verified institutional information. [2]

Research Profile

The available profile identifies Mohamed Momtaz as affiliated with Tanta University, Egypt, and lists the pharmaceutical industry as his subject area. The supplied Scopus author identifier is 57218249607, while his ORCID provides an additional researcher identification reference. The reported record comprises five documents, twelve citations, and an h-index of three; these figures may change as databases update. [1] [2]

Research Contributions

The supplied information places Momtaz’s research profile within the pharmaceutical industry, a field involving medicine development, production, quality, regulation, and related analytical activities. However, the precise nature of his individual contributions cannot be established from bibliometric totals alone. Reviewing verified publication titles, abstracts, methods, and findings would help identify his research themes and distinguish individual contributions from collaborative work. [1] [2]

Publications

The supplied Scopus profile reports five documents associated with Mohamed Momtaz. These records provide a starting point for examining his scholarly output, collaboration patterns, and research topics. A complete publication bibliography should be prepared from verified database entries, with accurate author lists, publication dates, journal names, volume and page details, and DOI links where available. Individual titles and DOIs are not provided in the supplied information. [1] [3]

Research Impact

The supplied bibliometric indicators record twelve citations across five documents and an h-index of three. These measures offer limited quantitative perspectives on the visibility of a researcher’s publications, but they do not independently establish scientific quality, practical significance, or societal benefit. A fuller assessment would consider citation context, methodological rigor, reproducibility, collaborations, and evidence of application in pharmaceutical research or related practice. [1] [4]

Award Suitability

Mohamed Momtaz’s academic affiliation and recorded research activity provide information that may be considered during an academic recognition review associated with the World Statistics Award. His pharmaceutical industry subject area may be relevant where the award criteria encompass quantitative research or related analytical applications. Final suitability should depend on the specific award category, verified publications, documented contributions, and the official eligibility and evaluation criteria. [1]

Conclusion

Mohamed Momtaz’s supplied profile identifies an academic affiliation with Tanta University in Egypt and research activity associated with the pharmaceutical industry. The reported five documents, twelve citations, and h-index of three summarize selected bibliometric indicators. Further evaluation of his scholarly contributions requires verified publication records and contextual assessment. These details provide a foundation for profile documentation and a transparent academic recognition review. [1] [3]

References

  1. Elsevier. (n.d.). Scopus author details: Mohamed Momtaz, Author ID 57218249607. Scopus. Bibliometric figures in this article are based on the information supplied for the profile and should be checked against the current database record.https://www.scopus.com/authid/detail.uri?authorId=57218249607

  2. Momtaz, M. A., El-Desoky, H. S., & Abdel-Galeil, M. M. (2023). Ternary nanocomposite of activated charcoal/reduced graphene oxide-silver nanoparticles [ACH/Ag@rGO] as a novel platform for the first sensitive prucalopride drug detection in generic and innovator tablets and human plasma.

    https://doi.org/10.1149/1945-7111/ad048c

  3. Momtaz, M. A., El-Desoky, H. S., Rehab, A., & Belal, F. (2025). Quality-by-design optimized HPLC approach for the therapeutic drug monitoring of isosorbide dinitrate and sildenafil in human plasma samples.

    https://doi.org/10.1016/j.talo.2025.100540?utm_source=chatgpt.com

  4. Momtaz, M. A., El-Desoky, H. S., Rehab, A., & Belal, F. (2026). Evaluating the environmental sustainability of a stability-indicating HPLC method for the simultaneous quantification of ramipril and amlodipine besylate in pharmaceutical formulations and its application to content uniformity testing. Sustainable Chemistry and Pharmacy.

    https://doi.org/10.1016/j.scp.2025.102285?utm_source=chatgpt.com

Safaa Najah Saud Al-humairi | Design of Experiments | Editorial Board Member

Published on by Statistics

Editorial Board Member

Safaa Najah Saud Al-humairi,
Management and Science University.

Safaa Najah Saud Al-humairi is a researcher affiliated with Management and Science University, Malaysia. Her stated research subject area is nanotechnology. Her scholarly profile reports 3,108 citations, an h-index of 32, and an i10-index of 73, according to the supplied profile information. [1]

Safaa Najah Saud Al-humairi
Affiliation Management and Science University
Country Malaysia
Citations 3,108
h-index 32
i10-index 73
Subject Area Nanotechnology
Event World Statistics Award

Abstract

This article presents the academic profile of Safaa Najah Saud Al-humairi, affiliated with Management and Science University in Malaysia. The supplied information identifies nanotechnology as her subject area and reports 3,108 citations, an h-index of 32, and an i10-index of 73. These indicators provide a bibliometric overview, subject to verification against the original scholarly profile. [1]

Keywords

Safaa Najah Saud Al-humairi, nanotechnology, research profile, bibliometrics, citation analysis, h-index, i10-index, scholarly publications, academic recognition, Management and Science University, Malaysia, World Statistics Award. [1]

Introduction

Safaa Najah Saud Al-humairi is presented as a researcher affiliated with Management and Science University in Malaysia, with nanotechnology identified as her subject area. Her scholarly profile provides a basis for examining research visibility through citation indicators. This article summarizes the supplied information while distinguishing reported metrics from independently verified academic records. [1]

Research Profile

The supplied profile associates Safaa Najah Saud Al-humairi with Management and Science University and identifies nanotechnology as her research subject. Reported bibliometric indicators include 3,108 citations, an h-index of 32, and an i10-index of 73. These figures describe citation activity but do not independently establish publication quality, research methods, or individual contributions. [1]

Research Contributions

Nanotechnology encompasses research involving materials and systems at very small scales, with applications across multiple scientific and technological fields. The supplied profile identifies this broad subject area but does not specify individual studies, methods, or discoveries attributable to the researcher. Specific contributions should therefore be described using verified publications, abstracts, and documented research findings. [1]

Publications

The researcher’s Google Scholar profile provides a starting point for reviewing indexed scholarly publications, co-authorship, and citation activity. However, a complete publication list, article titles, journal details, publication dates, and DOI identifiers were not included in the supplied information. Individual publications should be checked against their original publisher records before being listed or cited as evidence of research output. [1]

Research Impact

The supplied bibliometric figures report 3,108 citations, an h-index of 32, and an i10-index of 73. Citations can indicate that scholarly work has been referenced by other publications, while the h-index reflects publication and citation performance together. These indicators vary by database and date and should be interpreted alongside research quality, field norms, and documented contributions. [1]

Award Suitability

The World Statistics Award provides the stated recognition context for this academic profile. The researcher’s reported citation indicators may serve as supporting information during an assessment, but they do not alone establish eligibility or award merit. A fair evaluation should consider verified publications, methodological rigor, relevance to the award criteria, documented contributions, and the accuracy of the submitted academic record. [1] [2]

Conclusion

Safaa Najah Saud Al-humairi’s supplied academic profile identifies an affiliation with Management and Science University in Malaysia and a subject area of nanotechnology. Reported citation indicators offer an initial view of scholarly visibility. Further assessment requires verification of publication records, research contributions, institutional details, and alignment with the World Statistics Award’s published recognition criteria. [1] [2]

References

  1. Google Scholar. (n.d.). Scholar profile: Safaa Najah Saud Al-humairi. Profile and bibliometric information supplied for this article. Retrieved October 21, 2026.

    https://scholar.google.com/citations?user=k3ISRbcAAAAJ&hl=en&oi=ao

  2. Saud, S. N., Hamzah, E., Abubakar, T., Bakhsheshi-Rad, H. R., Yusop, M. Z., & Tanemura, M. (2014). Effects of Mn additions on the structure, mechanical properties, and corrosion behavior of Cu-Al-Ni shape memory alloys. Journal of Materials Engineering and Performance.

    https://doi.org/10.1007/s11665-014-1134-1

  3. Wahid, M. A., Hosseini, S. E., Hussen, H. M., Akeiber, H. J., Saud, S. N., & Mohammad, A. T. (2017). An overview of phase change materials for construction architecture thermal management in hot and dry climate region.

    https://doi.org/10.1016/j.applthermaleng.2016.07.032

Jun Zhai | Financial Statistics and Analytics | Innovative Research Award

Published on by Statistics

Innovative Research Award

Jun Zhai,
Nanjing Forestry University.

Jun Zhai
Affiliation Nanjing Forestry University
Country China
Documents 5
Subject Area Forest economics analysis
Event World Statistics Awards
ORCID 0000-0002-3633-1253

Jun Zhai is identified with Nanjing Forestry University, China, and the subject area of forest economics analysis. This academic recognition profile presents the researcher in connection with the Innovative Research Award under the World Statistics Awards. The supplied profile records five documents; citation metrics and individual publication details require independent verification. [1] [2]

Abstract

This article outlines the academic recognition profile of Jun Zhai, affiliated with Nanjing Forestry University in China, in the field of forest economics analysis. The profile is associated with the Innovative Research Award presented in the context of the World Statistics Awards. Five documents are reported in the supplied information. Publication-level evidence, citation indicators, and specific research findings are not available here and should be confirmed using authoritative academic records before further claims are made. [1] [2]

Keywords

Jun Zhai; Innovative Research Award; World Statistics Awards; forest economics analysis; forestry research; quantitative analysis; statistical methods; academic publications; research evaluation; Nanjing Forestry University. These keywords describe the supplied profile and subject area rather than verified titles or findings from individual publications. [1]

Introduction

Forest economics analysis examines the economic dimensions of forest resources, management decisions, and the use of evidence in policy and planning. Statistical methods can help researchers assess resource allocation, economic performance, and environmental trade-offs. Jun Zhai’s supplied profile connects the researcher with this subject area and Nanjing Forestry University, China. [1] [3]

Research Profile

Jun Zhai is listed in the supplied information as affiliated with Nanjing Forestry University in China, with forest economics analysis identified as the subject area. The profile reports five documents but does not include a Scopus author identifier, citation total, or h-index. These indicators should be checked against matching, authoritative researcher records before publication. [1] [2]

Research Contributions

Forest economics research can contribute analytical approaches for understanding forest-resource use, production costs, market behaviour, and sustainability decisions. Statistical analysis may support comparisons across regions, policies, or management practices. However, specific contributions attributable to Jun Zhai cannot be established from the supplied profile alone. Publication abstracts, methods, datasets, and findings should be reviewed to identify documented original contributions. [3]

Publications

The supplied information reports five documents associated with this profile, but it does not provide publication titles, journal names, publication years, author order, or DOI identifiers. Consequently, individual works cannot be listed reliably in this article. A verified publication bibliography should be compiled from the researcher’s matching Scopus, ORCID, institutional, or publisher records, with each DOI checked against its original publication. [1] [2]

Research Impact

Research impact may be assessed through citation activity, scholarly collaboration, practical application, policy relevance, and contributions to subsequent studies. For forest economics analysis, potential applications include evidence-informed resource management and evaluation of forestry-related economic decisions. No citation totals or documented applications were supplied for Jun Zhai, so the researcher’s specific impact remains undetermined pending verification of publication and independent impact evidence. [2] [3]

Award Suitability

The Innovative Research Award profile recognises Jun Zhai in connection with forest economics analysis and Nanjing Forestry University. A rigorous assessment of award suitability should consider originality, methodological quality, publication evidence, research relevance, and demonstrable impact. The supplied details establish the intended recognition context, but they are insufficient to independently verify award selection, comparative merit, or specific achievements. [1]

Conclusion

Jun Zhai’s supplied academic profile identifies Nanjing Forestry University, China, and forest economics analysis as the principal affiliation and subject area. The reported five documents provide a starting point for preparing a publication record. Further verification of publications, research findings, citations, and award documentation is necessary to produce a complete and evidence-based account of the researcher’s contributions and recognition. [1] [2]

References

  1. Zhai, J., & Ning, Z. (2022). Models for the economic impacts of forest disturbances: A systematic review. Land.

    https://doi.org/10.3390/land11091608

  2. Zhai, J., & Kuusela, O.-P. (2022). Incidence of domestic subsidies vs. export taxes: An equilibrium displacement model of log and lumber markets in Oregon. Forest Policy and Economics.

  3. Rossi, D., Zhai, J., & Kuusela, O.-P. (2021). Measuring the value of softwood log exports: Evidence from Oregon. Journal of Forestry.

    https://doi.org/10.1093/jofore/fvab009

Yung Ming Cheng | Statistical Applications in Engineering | Innovative Research Award

Published on by Statistics

Innovative Research Award

Yung Ming Cheng,
University of Hong Kong.

Yung Ming Cheng
Affiliation University of Hong Kong
Country Hong Kong
Scopus ID 56036410000
Documents 150
Citations 5,532
h-index 37
Subject Area Civil Engineering
Event World Statistics Awards

Yung Ming Cheng is affiliated with the University of Hong Kong and is identified in the supplied Scopus information with 150 documents, 5,532 citations, and an h-index of 37. His stated subject area is Civil Engineering, providing the academic context for this recognition under the Innovative Research Award category. [1]

Abstract

This academic recognition profile presents Yung Ming Cheng of the University of Hong Kong in connection with the Innovative Research Award. The supplied bibliometric information records 150 documents, 5,532 citations, and an h-index of 37 within Civil Engineering. The profile summarizes research activity, scholarly output, impact indicators, and award suitability. [1]

Keywords

Yung Ming Cheng; University of Hong Kong; Civil Engineering; Innovative Research Award; World Statistics Awards; Scopus; research publications; scholarly impact; citations; h-index. [1]

Introduction

Yung Ming Cheng is presented as a researcher affiliated with the University of Hong Kong, with Civil Engineering identified as the principal subject area in the supplied profile. His academic record includes 150 documents and substantial citation activity, providing measurable indicators for evaluating research productivity and influence within an international scholarly context. [3]

Research Profile

The supplied profile identifies Cheng with the University of Hong Kong and Civil Engineering as his subject area. Scopus records associated with author ID 56036410000 indicate 150 documents, 5,532 citations, and an h-index of 37. These indicators describe a substantial body of indexed scholarly output and citation-based research visibility. [2]

Research Contributions

Within the information supplied, Cheng’s research contributions are situated broadly within Civil Engineering. The available bibliometric indicators demonstrate sustained scholarly production, while the document and citation counts provide quantitative evidence of research dissemination. Specific technical contributions, research themes, methodologies, and individual study findings require verification against the underlying publications. [2]

Publications

The supplied Scopus information reports 150 documents associated with the researcher profile. This figure indicates a substantial indexed publication record, although individual article titles, journals, publication years, and DOI identifiers were not provided in the input data. Consequently, specific publications are not attributed here without independent bibliographic verification. [1]

Research Impact

The supplied bibliometric indicators show 5,532 citations and an h-index of 37 for the Scopus author record. These measures provide quantitative indicators of scholarly visibility and citation reach. They should be interpreted alongside publication quality, disciplinary context, authorship, collaboration, and individual research contributions when assessing broader academic impact. [2]

Award Suitability

The available information provides several measurable indicators relevant to an academic recognition assessment, including 150 documents, 5,532 citations, and an h-index of 37. His Civil Engineering affiliation establishes a defined research domain. Final award suitability should additionally consider verified publications, originality, research significance, and the specific evaluation criteria applied by World Statistics Awards. [2] [4]

Conclusion

Yung Ming Cheng’s supplied academic profile reflects an established research record associated with the University of Hong Kong and Civil Engineering. The reported 150 documents, 5,532 citations, and h-index of 37 provide useful bibliometric evidence for scholarly assessment. Further evaluation should incorporate verified publications, research originality, significance, and documented contributions. [1]

References

  1. Zhu, W.-Q., Zhao, S.-L., Han, H., Liu, L.-L., Zhang, W.-G., Zhang, S.-H., & Cheng, Y.-M. (2025). Reliability analysis and design of soil slopes considering spatial variability under rainfall infiltration. Earth Surface Processes and Landforms.

    https://doi.org/10.1002/esp.6057

  2. Huang, L., Liu, L.-L., & Cheng, Y.-M. (2024). Influence of a firm stratum on probabilistic slope stability analyses with spatially variable undrained soil strength. Computers and Geotechnics.

    https://doi.org/10.1016/j.compgeo.2024.106782

  3. Cheng, Y.-M., & Law, C. W. (2024). Design and construction of buildings and foundations with illustrative examples. Bentham Science Publishers.

    https://doi.org/10.2174/97898152380061240101

  4. Wang, C., Li, L., Kou, H., Cheng, Y., & Meng, D. (2024). Rainfall induced slope reliability analysis using radial degraded random fields. Geotechnical and Geological Engineering.

    https://doi.org/10.1007/s10706-024-02905-2

Miguel Ferrer | Operations Research and Statistical Optimization | Innovative Research Award

Published on by Statistics

Innovative Research Award

Miguel Ferrer,
Spanish National Research Council.

Miguel Ferrer
Affiliation Spanish National Research Council
Country Spain
Scopus ID 7202505400
Documents 198
Citations 6,853
h-index 48
Subject Area Biologia
Event World Statistics Awards
ORCID 0000-0003-0092-8450

Miguel Ferrer is a Spain-based researcher affiliated with the Spanish National Research Council whose documented work includes applied ecological research, raptor conservation, reintroduction, population management, and quantitative approaches to conservation problems. His publication record includes studies involving predictive modelling, field-based analysis, and evidence-driven management of threatened birds. [1]

Abstract

Miguel Ferrer’s research profile encompasses ecological investigation, raptor conservation, reintroduction programmes, population management, and quantitative approaches to environmental decision-making. His published work demonstrates the use of field observations, statistical analysis, predictive modelling, and long-term datasets to examine conservation challenges. His research includes studies of Spanish imperial eagles, white-tailed eagles, vultures, and bird mortality associated with electrical infrastructure. [1] [2]

Keywords

Miguel Ferrer; ecological research; conservation biology; raptor ecology; predictive modelling; reintroduction; population management; statistical analysis; biodiversity; Spanish imperial eagle; bird conservation; environmental research.

Introduction

Miguel Ferrer’s research is situated within applied ecology and conservation science, with particular attention to raptors and threatened bird populations. His studies combine ecological observations, quantitative analysis, and management-oriented investigation to address conservation questions. Published research has examined reintroduction practices, demographic processes, nutritional condition, and threats affecting birds in managed landscapes. [2]

Research Profile

Ferrer’s documented research profile includes long-term ecological studies and applied conservation research conducted through the Estación Biológica de Doñana and the Spanish National Research Council. His work covers raptor biology, conservation management, reintroduction, dispersal, reproduction, and environmental risk assessment. Bibliographic records identify his participation in multidisciplinary studies involving ecological datasets and quantitative research methods. [1] [3]

Research Contributions

His contributions include research on supplementary feeding and raptor reintroduction, juvenile dispersal, breeding processes, nutritional condition, and conservation interventions. More recent work has applied predictive modelling to identify patterns of bird electrocution across electrical networks, demonstrating how quantitative models can support prioritisation of conservation measures. These studies connect ecological evidence with practical conservation planning. [3] [4]

Publications

Ferrer has contributed to peer-reviewed publications covering avian ecology and conservation. Selected works include research on reintroducing endangered raptors, the health and nutritional status of white-tailed eagle nestlings, and modelling approaches for reducing bird electrocutions. These publications illustrate the integration of empirical datasets, statistical reasoning, ecological interpretation, and conservation applications. [2] [4]

Research Impact

The reported bibliometric profile lists 198 documents, 6,853 citations, and an h-index of 48. These supplied metrics provide a quantitative description of the researcher’s indexed publication and citation record. His research has also addressed practical conservation questions, including reintroduction strategies and identification of high-risk electrical infrastructure, linking scientific analysis with potential management applications. [1] [4]

Award Suitability

For the Innovative Research Award, Ferrer’s documented record provides evidence of sustained research activity involving ecological datasets, quantitative modelling, conservation analysis, and interdisciplinary collaboration. His publications address established environmental problems through empirical and analytical approaches. The supplied bibliometric indicators further document an extensive indexed research record relevant to evaluating scholarly productivity and research contributions. [1] [3]

Conclusion

Miguel Ferrer’s research record reflects sustained engagement with applied ecology, raptor conservation, quantitative analysis, and evidence-based environmental management. His publications demonstrate research across reintroduction, population ecology, animal health, and conservation risk modelling. Together with the supplied bibliometric indicators, these documented activities provide a structured basis for academic recognition under the Innovative Research Award category. [1] [4]

References

  1. Ferrer, M., Evans, R., Hedley, J., Hollamby, S., Meredith, A., Morandini, V., Selly, O., Smith, C., & Whitfield, D. P. (2023). Hacking techniques improve health and nutritional status of nestling White-tailed Eagles. Ecology and Evolution, 13(2), e9776.

    https://doi.org/10.1002/ece3.9776

  2. Ferrer, M., Morandini, V., Baguena, G., & Newton, I. (2018). Reintroducing endangered raptors: A case study of supplementary feeding and removal of nestlings from wild populations. Journal of Applied Ecology, 55(3), 1360–1367.

    https://doi.org/10.1111/1365-2664.13014

  3. Morandini, V., Dietz, S., Newton, I., & Ferrer, M. (2019). The role of age of first breeding in modeling raptor reintroductions. Ecology and Evolution, 9(5), 2978–2985.

    https://doi.org/10.1002/ece3.4979

  4. Ferrer, M., Florencio, C., Muriel, R., Morandini, V., & García-Macía, J. (2026). How to prioritize measures to reduce the electrocutions of birds in distribution power line networks. Global Ecology and Conservation, 69, e04318.

    https://doi.org/10.1016/j.gecco.2026.e04318

Alessandro Allegra | Probability Theory and Applications | Innovative Research Award

Published on by Statistics

Innovative Research Award

Alessandro Allegra,
Università di Messina.

Alessandro Allegra
Affiliation Università di Messina
Country Italy
Scopus ID 7005318849
Documents 354
Citations 7,159
h-index 43
Subject Area Immunology and Quantum Physics
Event World Statistics Awards
ORCID 0000-0001-6156-8239

Alessandro Allegra is a researcher affiliated with the Università di Messina whose published work includes studies in hematology, immunology, oncology, inflammatory signaling, oxidative stress, and related biomedical fields. His documented scholarly record includes substantial publication activity and citation impact, while his ORCID and Scopus identifiers provide persistent mechanisms for research-profile identification.[1][2]

Abstract

Alessandro Allegra’s academic profile reflects sustained research activity at the intersection of hematology, immunology, oncology, inflammation, and molecular mechanisms relevant to disease. His scholarly record includes 354 documents, 7,159 citations, and an h-index of 43 as supplied for this recognition profile. Published studies address topics including immune checkpoint regulation, redox signaling, multiple myeloma, cytokine activity, and molecular pathways. Several indexed publications demonstrate interdisciplinary collaboration and application of experimental and analytical approaches to biomedical questions.[1][3][4]

Keywords

Alessandro Allegra; immunology; hematology; oncology; multiple myeloma; redox signaling; oxidative stress; cytokines; immune checkpoint inhibitors; molecular medicine; biomedical research; Università di Messina; research impact.

Introduction

Alessandro Allegra is affiliated with the Università di Messina and has contributed to biomedical research spanning hematology, immunology, oncology, inflammation, and molecular mechanisms of disease. His published work includes investigations of immune regulation, multiple myeloma, oxidative and redox processes, and therapeutic pathways, reflecting a multidisciplinary research orientation.[1][3]

Research Profile

The research profile associated with Allegra encompasses hematological disorders, immunological responses, inflammatory signaling, cancer biology, and molecular mechanisms. Published studies identify the University of Messina as a recurring institutional affiliation and document collaborative research with investigators across related biomedical disciplines. His supplied Scopus record lists 354 documents, 7,159 citations, and an h-index of 43.[1][5]

Research Contributions

Documented contributions include research on cytokine balance in multiple myeloma, long noncoding RNA expression, alarmins, redox regulation, and immune checkpoint activity. These studies examine biological mechanisms associated with hematological malignancies and cancer-related immune responses. The published record also demonstrates collaborative investigation involving clinical, molecular, and translational perspectives across biomedical research.[3][4][5]

Publications

Selected publications illustrate the breadth of Allegra’s research. Recent examples include work on redox signaling and immune checkpoint inhibitors in cancer patients, while earlier studies examined redox regulation in acute leukemia and cytokine-mediated mechanisms in multiple myeloma. His publication record also includes molecular studies of long noncoding RNA and disease-associated signaling pathways.[3][4]

Research Impact

The supplied bibliometric profile reports 7,159 citations and an h-index of 43 across 354 documents, indicating a substantial indexed publication and citation record. Individual publications have also accumulated citations through subsequent scholarly literature. For example, the 2020 study on long noncoding RNA expression is indexed with citation information through its publisher record.[1][5]

Award Suitability

The supplied academic record provides documented indicators relevant to consideration for the Innovative Research Award, including a substantial publication portfolio, citation activity, and interdisciplinary research addressing immunological and biomedical questions. His publications demonstrate investigations across molecular mechanisms, disease biology, inflammation, and therapeutic research. These documented characteristics provide an academic basis for recognition under the stated award category.[1][3][4]

Conclusion

Alessandro Allegra’s documented research record encompasses hematology, immunology, oncology, inflammation, and molecular medicine. His publications address diverse biomedical questions and include DOI-indexed studies in established journals. The supplied bibliometric indicators further describe an extensive scholarly record. Collectively, these documented elements provide a structured basis for presenting his research profile within the Innovative Research Award context.[1][3][4]

References

  1. Allegra, A., Murdaca, G., Mirabile, G., & Gangemi, S. (2023). Redox Signaling Modulates Activity of Immune Checkpoint Inhibitors in Cancer Patients. Biomedicines, 11(5), 1325. DOI: 10.3390/biomedicines11051325.

    https://doi.org/10.3390/biomedicines11051325

  2. Allegra, A., Tonacci, A., Giordano, L., Musolino, C., & Gangemi, S. (2022). Targeting Redox Regulation as a Therapeutic Opportunity against Acute Leukemia: Pro-Oxidant Strategy or Antioxidant Approach? Antioxidants, 11(9), 1696. DOI: 10.3390/antiox11091696.

    https://doi.org/10.3390/antiox11091696

  3. Murdaca, G., Allegra, A., Paladin, F., Calapai, F., Musolino, C., & Gangemi, S. (2021). Involvement of Alarmins in the Pathogenesis and Progression of Multiple Myeloma. International Journal of Molecular Sciences, 22(16), 9039. DOI: 10.3390/ijms22169039.

    https://doi.org/10.3390/ijms22169039

  4. Musolino, C., Allegra, A., Innao, V., Allegra, A. G., Pioggia, G., & Gangemi, S. (2017). Inflammatory and Anti-Inflammatory Equilibrium, Proliferative and Antiproliferative Balance: The Role of Cytokines in Multiple Myeloma. Mediators of Inflammation, 2017, 1852517. DOI: 10.1155/2017/1852517.

    https://doi.org/10.1155/2017/1852517

  5. Allegra, A., Mania, M., D’Ascola, A., Oteri, G., Nastro, E., Avenoso, A., Innao, V., Allegra, A. G., Scuruchi, M., Musolino, C., & Campo, S. (2020). Altered Long Noncoding RNA Expression Profile in Multiple Myeloma Patients with Bisphosphonate-Induced Osteonecrosis of the Jaw. BioMed Research International, 2020, 9879876. DOI: 10.1155/2020/9879876.

    https://doi.org/10.1155/2020/9879876

Qingmin Wang | Statistical Computing and Programming | Innovative Research Award

Published on by Statistics

Innovative Research Award

Qingmin Wang,
Zhejiang University.

Qingmin Wang
Affiliation Zhejiang University
Country China
Scopus ID 57322536800
Documents 25
Citations 342
h-index 12
Subject Area Civil Engineering
Event World Statistics Awards
ORCID 0000-0001-6353-7014

Qingmin Wang is a researcher affiliated with Zhejiang University whose indexed scholarly record includes 25 documents, 342 citations, and an h-index of 12. His stated subject area is Civil Engineering. These bibliometric indicators provide a structured overview of his documented research activity and scholarly visibility. [1]

Abstract

Qingmin Wang is affiliated with Zhejiang University, China, and is associated with the field of Civil Engineering. Available bibliometric information records 25 scholarly documents, 342 citations, and an h-index of 12. This article summarizes the documented research profile, contributions, publications, scholarly impact, and relevance to the Innovative Research Award. [1]

Keywords

Civil Engineering; statistical analysis; engineering research; research publications; bibliometrics; scholarly impact; Innovative Research Award; World Statistics Awards.

Introduction

Qingmin Wang is affiliated with Zhejiang University in China and works within Civil Engineering. His documented scholarly profile comprises 25 Scopus-indexed documents, 342 citations, and an h-index of 12. These indicators offer measurable context for reviewing his research activity, publication record, and academic visibility in engineering research. [3]

Research Profile

Wang’s research profile is situated within Civil Engineering and is supported by a documented Scopus author record. The profile identifies Zhejiang University as his affiliation and records 25 documents, 342 citations, and an h-index of 12. These metrics provide quantitative indicators for examining his scholarly output and citation visibility. [1]

Research Contributions

Wang’s documented contributions can be considered through his publication activity and indexed citation record in Civil Engineering. His 25 recorded documents represent a body of scholarly output, while 342 citations indicate subsequent academic referencing. Together, these measures provide evidence for assessing the reach and continuity of his research contributions. [2]

Publications

The available Scopus record identifies 25 documents associated with Qingmin Wang. The indexed publication count provides a measurable basis for describing his scholarly productivity. Individual publication titles, journals, publication years, and DOI information should be verified against authoritative publisher and indexing records before being used for detailed bibliographic analysis. [3]

Research Impact

The recorded citation count of 342 and h-index of 12 provide quantitative measures of Wang’s scholarly visibility within indexed research literature. Citation metrics can help describe how publications have been referenced by subsequent studies, although they should be interpreted alongside publication quality, research context, collaboration, and disciplinary citation practices. [2]

Award Suitability

For the Innovative Research Award, Wang’s documented affiliation, Civil Engineering subject area, publication activity, and citation record provide relevant evidence for consideration. The available metrics indicate an established indexed research profile. Final award assessment should additionally consider submitted research materials, originality, methodological quality, significance, and the evaluation criteria established by the World Statistics Awards. [2]

Conclusion

Qingmin Wang’s academic profile is associated with Zhejiang University and Civil Engineering, with 25 indexed documents, 342 citations, and an h-index of 12. These indicators establish a measurable record of scholarly activity and visibility. Further evaluation can incorporate publication details, research originality, methodological contributions, and supporting academic documentation. [1]

References

  1. Zhao, W., Chang, T., Wang, Q., Li, Y., Cui, Y., Yang, Y., & Sun, B. (2026). Tensile performance of the vertical joint of a novel precast RC shear wall structure with concentrated connection bars: Experimental and numerical investigation. Journal of Building Engineering.

    https://doi.org/10.1016/j.jobe.2026.117242

  2. Zhao, W., Zheng, T., Li, Y., Yang, Y., & Wang, Q. (2025). Shear behavior of keyed vertical joints with lap splices for precast RC frame-shear wall structures. Engineering Structures.

    https://doi.org/10.1016/j.engstruct.2025.121100

  3. Yuan, L., Yang, Y., Wang, Q., Zhao, Q., Cui, Y., & Zhao, W. (2025). Investigation on the dimensions design and anchorage mechanism of headed bars utilized as shear reinforcements.

    https://doi.org/10.1016/j.istruc.2025.108647

Samir idrissi Kaitouni | Environmental and Climate Statistics | Innovative Research Award

Published on by Statistics

Innovative Research Award

Samir Idrissi Kaitouni,
Green Energy Park.

Samir Idrissi Kaitouni
Affiliation Green Energy Park
Country Morocco
Scopus ID 57855356900
Documents 41
Citations 896
h-index 18
Subject Area Ecological Buildings
Event World Statistics Awards
ORCID 0009-0002-8342-4417

The research profile presented here is based primarily on the supplied Scopus and ORCID identifiers and the associated bibliographic indicators. Citation counts and publication metrics are dynamic and may change as indexing databases update their records.[1][2]

Abstract

Samir Idrissi Kaitouni is a Morocco-based researcher affiliated with Green Energy Park (UM6P & IRESEN), with a research focus identified as ecological buildings. The supplied bibliographic record reports 41 documents, 896 citations, and an h-index of 18. These indicators provide a quantitative overview of scholarly productivity and visibility.[1][2]

Keywords

  • Ecological buildings
  • Sustainable buildings
  • Green energy
  • Building performance
  • Energy efficiency
  • Research metrics
  • Sustainable research

Introduction

Research on ecological buildings integrates building science, energy efficiency, environmental assessment, and sustainable design. Within this interdisciplinary context, Samir Idrissi Kaitouni’s affiliation with Green Energy Park connects his research environment with broader renewable-energy and sustainable-development activities. His identified subject area places ecological building research within a quantitatively measurable scholarly framework.[1][3]

Research Profile

The available research profile identifies Samir Idrissi Kaitouni with Green Energy Park (UM6P & IRESEN) in Morocco and associates his scholarly activity with ecological buildings. The supplied Scopus record contains 41 documents, 896 citations, and an h-index of 18, providing measurable indicators of publication activity and citation-based research visibility.[1]

Research Contributions

The researcher’s stated subject area supports investigation of ecological building concepts through approaches related to energy performance, environmental considerations, and sustainable construction. Such research can contribute analytical evidence for improving building efficiency and environmental performance. The documented publication and citation indicators provide a quantitative basis for evaluating the reach of these scholarly contributions.[1][3]

Publications

The supplied Scopus information records 41 documents associated with the researcher. These publications constitute the principal bibliographic basis for assessing research productivity, thematic continuity, and citation performance. Individual publication titles, journal information, and DOI identifiers should be verified directly through the indexed author record before being used as definitive bibliographic evidence.[1]

Research Impact

The reported citation count of 896 and h-index of 18 indicate that the researcher’s publications have received measurable scholarly attention within indexed literature. Citation indicators should be interpreted as bibliometric measures rather than standalone assessments of research quality. They nevertheless provide useful evidence when considered alongside publication content, relevance, and disciplinary contribution.[1]

Award Suitability

The supplied profile is relevant to an Innovative Research Award because it combines an identified research focus in ecological buildings with documented scholarly activity and citation impact. The affiliation with Green Energy Park further situates the work within an environment concerned with energy and sustainability research. Final award assessment remains subject to the applicable evaluation criteria.[1][2]

Conclusion

Samir Idrissi Kaitouni’s profile demonstrates documented research activity in ecological buildings, supported by 41 reported documents, 896 citations, and an h-index of 18. His institutional affiliation and research focus align with sustainability-oriented scholarship. These indicators provide a structured basis for considering his profile within the Innovative Research Award framework of the World Statistics Awards.[1][2]

References

  1. Benfars, M., Alioui, A., Idrissi Kaitouni, S., Youssfi, A., Azalam, Y., Bendada, E. M., & Mabrouki, M. (2026). Cumulative benefits of rammed-earth inertia and roof albedo on building thermal performance across diverse climates: Field measurement and simulation-based assessment.

    https://doi.org/10.1016/j.jobe.2026.116526

  2. Idrissi Kaitouni, S., & Tribiche, A. (2026). Optimal climate-responsive sizing of hybrid PV/BIPV/battery/fuel cell microgrids for zero carbon urban buildings under varying grid integration ratios.

    https://doi.org/10.1016/j.energy.2026.141688

  3. Alioui, A., Idrissi Kaitouni, S., Benfars, M., Azalam, Y., Bendada, E. M., & Mabrouki, M. (2026). Effects of alfalfa fibers on the thermophysical properties of carbon-free adobe bricks to improve the energy efficiency of buildings in hot and semi-arid climates: An innovative approach to sustainable construction. Journal of Building Pathology and Rehabilitation.

    https://doi.org/10.1007/s41024-026-00808-8

Mohamed Elleuch | Health Statistics and Public Health Analysis | Best Researcher Award

Published on by Statistics

Best Researcher Award

Mohamed Elleuch
Affiliation FSS, Sfax
Country Tunisia
Scopus ID 56626761200
Documents 55
Citations 782
h-index 14
Subject Area Medical Image Processing
Event World Statistics Awards
ORCID 0000-0003-4702-7692

Mohamed Elleuch,
FSS, Sfax.

Mohamed Elleuch is a researcher affiliated with FSS, Sfax, Tunisia, whose scholarly profile is associated with medical image processing. His indexed research record comprises 55 documents, 782 citations, and an h-index of 14, providing a bibliometric basis for recognition through the Best Researcher Award. [1]

Abstract

Mohamed Elleuch is a Tunisia-based researcher at FSS, Sfax, working in the field of medical image processing. His Scopus-indexed profile records 55 documents, 782 citations, and an h-index of 14. These indicators provide measurable evidence of sustained scholarly activity and research visibility within his subject area. [1]

Keywords

Mohamed Elleuch; Medical Image Processing; Medical Imaging; Image Analysis; Computer-Aided Diagnosis; Research Metrics; Scopus; Biomedical Imaging; Statistical Analysis; World Statistics Awards.

Introduction

Medical image processing applies computational and analytical methods to extract meaningful information from medical images. Within this interdisciplinary field, Mohamed Elleuch has developed a research profile connected with image analysis and related computational approaches. His indexed scholarly record indicates sustained publication activity and measurable citation visibility. [1] [2]

Research Profile

Elleuch is affiliated with FSS, Sfax, Tunisia, and is associated with medical image processing as a principal subject area. His Scopus profile lists 55 documents and 782 citations, with an h-index of 14. These bibliometric measures describe the documented scale and citation reach of his research output. [1]

Research Contributions

Research in medical image processing contributes computational techniques for improving image interpretation, analysis, classification, and quantitative assessment. Elleuch’s scholarly record places his work within this broader interdisciplinary area, connecting computational image analysis with medical applications. His contribution can therefore be considered in relation to methodological development and the analysis of biomedical imaging data. [1] [2]

Publications

The Scopus-indexed record associated with Mohamed Elleuch contains 55 documents. Publication activity in a specialized research area provides a basis for evaluating scholarly continuity and contribution. The documented citation count of 782 further indicates that portions of this research output have been referenced within the scholarly literature. [1]

Research Impact

Research impact may be considered through publication productivity, citation activity, scholarly visibility, and contribution to a defined research field. Elleuch’s reported record of 55 documents, 782 citations, and an h-index of 14 provides quantitative indicators for assessing his academic footprint. These metrics should be interpreted alongside publication quality and research relevance. [1]

Award Suitability

The Best Researcher Award recognizes scholarly achievement based on evidence such as research productivity, citation performance, subject expertise, and academic contribution. Elleuch’s documented publication and citation record, together with his specialization in medical image processing, provides relevant evidence for consideration. Final suitability should also incorporate the award’s formal evaluation criteria and submitted documentation. [1] [3]

Conclusion

Mohamed Elleuch represents a research profile centered on medical image processing and supported by an established indexed publication record. With 55 documents, 782 citations, and an h-index of 14, his documented scholarly activity offers measurable evidence for academic recognition. Award assessment should consider these indicators alongside research quality and contribution. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Mohamed Elleuch, Author ID 56626761200. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=56626761200

  2. Haddar, B., Elleuch, M. A., & Damak, C. (2026). Learning to search: A reinforcement learning agent for global optimization. In Applications of Evolutionary Computation: 29th European Conference, EvoApplications 2026.

    https://doi.org/10.1007/978-3-032-23604-3_2

  3. World Statistics Awards. (n.d.). World Statistics Awards.

    https://statisticsaward.com/