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

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

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

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

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

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

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

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

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/

Jonghoek Kim | Statistical Applications in Engineering | Innovative Research Award

Innovative Research Award

Jonghoek Kim
Affiliation Sejong University
Country South Korea
Scopus ID 34872607400
Documents 138
Citations 1,157
h-index 19
Subject Area Statistics
Event World Statistics Awards
ORCID 0000-0001-7565-068X

Jonghoek Kim,
Sejong University.

Jonghoek Kim of Sejong University, South Korea, is presented in this academic recognition profile in connection with the Innovative Research Award under the World Statistics Awards. The profile summarizes the supplied bibliometric indicators, research orientation, scholarly contributions, publication activity, and potential suitability for recognition in statistics. [1]

Abstract

This academic profile documents Jonghoek Kim’s research standing at Sejong University within the field of Statistics. The supplied record identifies 138 documents, 1,157 citations, and an h-index of 19. The profile considers scholarly contributions, publication activity, research impact, and alignment with the Innovative Research Award. [1]

Keywords

  • Jonghoek Kim
  • Statistics
  • Statistical Research
  • Innovative Research
  • Research Impact
  • Sejong University
  • World Statistics Awards

Introduction

Jonghoek Kim is affiliated with Sejong University in South Korea and is identified with the academic field of Statistics. His scholarly profile is characterized by a substantial indexed publication record and measurable citation activity. The Innovative Research Award recognizes research development, methodological contribution, and sustained academic engagement in statistics. [1]

Research Profile

The supplied research profile records Jonghoek Kim with 138 documents, 1,157 citations, and an h-index of 19. These indicators provide bibliometric evidence of continuing scholarly productivity and citation visibility. His institutional affiliation with Sejong University and subject classification in Statistics establish the principal academic context for this recognition profile. [1]

Research Contributions

Kim’s documented scholarly record indicates sustained contributions within statistics and related quantitative research. His publication volume and citation record suggest engagement with research questions requiring systematic statistical analysis and evidence-based interpretation. Assessment of specific methodological innovations should rely on individual publications, datasets, and peer-reviewed findings rather than bibliometric indicators alone. [1]

Publications

Jonghoek Kim’s supplied Scopus record contains 138 indexed documents, indicating an established publication history. Individual article titles, journals, publication years, and DOI identifiers were not supplied with the profile data; therefore, specific publication claims and DOI assignments are not inferred here. Bibliographic verification should be performed against authoritative publication records. [1]

Research Impact

The reported citation count of 1,157 and h-index of 19 provide quantitative indicators of the visibility and scholarly influence associated with Kim’s indexed research. Such measures can support an assessment of research impact, while interpretation should also consider field differences, publication age, collaboration patterns, and the substantive significance of individual studies. [1]

Award Suitability

Based on the supplied profile, Kim appears academically aligned with an Innovative Research Award focused on Statistics, particularly because of his documented publication activity, citation record, and sustained research engagement. Final award suitability should be determined through formal evaluation of research originality, methodological quality, publications, broader impact, and the applicable award criteria. [1] [4]

Conclusion

Jonghoek Kim’s supplied academic indicators describe an established researcher associated with Sejong University and the field of Statistics. His 138 documents, 1,157 citations, and h-index of 19 provide measurable evidence of scholarly activity and visibility. These indicators support consideration for recognition, subject to comprehensive review of research quality and originality. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Jonghoek Kim, Author ID 34872607400. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=34872607400

  2. ORCID. (n.d.). Jonghoek Kim — ORCID record. ORCID.

    https://orcid.org/0000-0001-7565-068X

  3. Google Scholar. (n.d.). Jonghoek Kim — Google Scholar profile.

    https://scholar.google.com/citations?user=0t1uQMgAAAAJ&hl=en&oi=ao

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

    https://statisticsaward.com/

Sandreen Hitti | Descriptive and Inferential Statistics | Best Researcher Award

Best Researcher Award

Sandreen Hitti
Affiliation American University of Beirut
Country Lebanon
Scopus ID 59957308700
Documents 2
Citations 3
h-index 1
Subject Area AI and Marketing
Event World Statistics Awards

Sandreen Hitti,
American University of Beirut.

Sandreen Hitti is affiliated with the American University of Beirut and is identified in the supplied bibliographic information as a researcher working at the intersection of artificial intelligence and marketing. Her indexed record currently reports two documents, three citations, and an h-index of one. [1]

Abstract

Sandreen Hitti is an academic researcher affiliated with the American University of Beirut whose supplied scholarly profile is associated with artificial intelligence and marketing. The available indexed record identifies two documents, three citations, and an h-index of one. This page presents a neutral overview of her research profile and award suitability. [1]

Keywords

  • Artificial Intelligence
  • Marketing
  • Digital Marketing
  • Academic Research
  • Research Impact
  • American University of Beirut

Introduction

Sandreen Hitti is affiliated with the American University of Beirut and works within the broad interdisciplinary area of artificial intelligence and marketing. Her available indexed profile records two scholarly documents and three citations, indicating an emerging research record. The profile provides a basis for evaluating her scholarly activity and developing contributions. [1]

Research Profile

Hitti’s supplied research profile identifies artificial intelligence and marketing as her principal subject area. She is affiliated with the American University of Beirut, Lebanon, and has a Scopus author identifier of 59957308700. The indexed record lists two documents, three citations, and an h-index of one, providing measurable indicators of her research activity. [2]

Research Contributions

Hitti’s research profile reflects an interdisciplinary orientation connecting artificial intelligence with marketing-related inquiry. Such a combination can support investigations of technology-enabled consumer analysis, digital decision-making, and data-informed marketing practices. Based on the supplied information, her documented contributions remain limited in number, while her indexed publications provide an identifiable foundation for continued research development. [3]

Publications

The supplied Scopus information records two indexed documents associated with Sandreen Hitti and reports three citations across the indexed record. Specific publication titles, journals, publication years, and DOI identifiers were not provided in the source information available for this profile. Consequently, no unverified publication titles or DOI numbers are attributed here. [2]

Research Impact

The available bibliometric record reports three citations and an h-index of one for Hitti, demonstrating measurable scholarly visibility within the indexed literature. These indicators should be interpreted in relation to publication volume, career stage, field practices, and indexing coverage. The current record therefore indicates emerging rather than extensive bibliometric impact. [3]

Award Suitability

Hitti’s interdisciplinary focus on artificial intelligence and marketing, institutional affiliation, indexed publications, and measurable citation record provide relevant evidence for consideration in a researcher recognition process. Final award suitability should depend on the award’s published criteria, verified publications, research originality, documented outcomes, and independent assessment rather than bibliometric indicators alone. [1]

Conclusion

Sandreen Hitti presents an emerging academic profile at the intersection of artificial intelligence and marketing, supported by affiliation with the American University of Beirut and an indexed Scopus record. Her current metrics include two documents, three citations, and an h-index of one. Further publications and documented research outcomes may strengthen future recognition. [2]

References

  1. Elsevier. (n.d.). Scopus author details: Sandreen Hitti, Author ID 59957308700. Scopus.

    https://www.scopus.com/pages/authors/59957308700

  2. Google Scholar. (n.d.). Sandreen Hitti: Google Scholar profile.

    https://scholar.google.com/citations?user=0AL_z1QAAAAJ&hl=en

  3. Hitti, S., & Ramadan, A. (2026). Humanizing the customer experience with AI chatbots: A study in the food services industry toward achieving SDG 11 and SDG 12. Journal of Business and Socio-economic Development.

    https://doi.org/10.1108/JBSED-05-2025-0153

Dai Chu | Statistical Applications in Engineering | Best Researcher Award

Best Researcher Award

Dai Chu,
Huazhong University of Science and Technology.

Dai Chu
Affiliation Huazhong University of Science and Technology
Country China
Scopus ID 57226126803
Documents 7
Citations 33
h-index 3
Subject Area Robotics, Autonomous Systems and Bio-inspired Motion Planning
Event World Statistics Awards

Dai Chu is a researcher at Huazhong University of Science and Technology, China, working across robotics, human motion analysis, and bio-inspired robotic systems. His research addresses mechanisms for understanding and reproducing human hand movements, contributing to the development of dexterous robotic technologies and human-machine interaction approaches through interdisciplinary engineering research. [1]

Abstract

Dai Chu is associated with research in robotics and bio-inspired engineering, with published studies addressing human palm movement, anthropomorphic robotic hands, grasping, and human-machine interaction. His research combines biomechanical analysis with engineering methods to investigate human-like movement and robotic functionality. Available bibliographic evidence provides a basis for scholarly recognition and evaluation. [1] [2]

Keywords

Robotics; autonomous systems; bio-inspired robotics; humanoid robotic hands; human motion analysis; grasping motion; palm biomechanics; human-machine interaction; robotic design; motion reconstruction; mechanical science.

Introduction

Dai Chu is a researcher at Huazhong University of Science and Technology, China, working across robotics, human motion analysis, and bio-inspired robotic systems. His research addresses mechanisms for understanding and reproducing human hand movements, contributing to the development of dexterous robotic technologies and human-machine interaction approaches through interdisciplinary engineering research. [1]

Research Profile

Dai Chu’s research profile centers on robotics, autonomous systems, and bio-inspired motion planning, with emphasis on humanoid robotic hands and human movement analysis. Indexed work associates him with the School of Mechanical Science and Engineering at Huazhong University of Science and Technology, where he pursues doctoral work in mechanical science. [2] [3]

Research Contributions

Chu has contributed to studies of human palm morphology, hand-motion decomposition, grasping-motion classification, and anthropomorphic robotic-hand design. His publications examine quantitative movement characteristics and kinematic synergies to support robotic systems that reproduce human-like dexterity. These contributions connect biomechanical observation with engineering design, control, and systematic evaluation of advanced robotic hands. [3] [4]

Publications

Dai Chu’s published work includes Decomposition and Reconstruction of Human Palm Movements, Human Palm Performance Evaluation and the Palm Design of Humanoid Robotic Hands, and Maximizing anthropomorphic grasping abilities of bio-inspired underactuated robotic hands. These studies collectively address human hand mechanics, robotic morphology, grasping performance, and quantitative bio-inspired robotic development. [3] [4]

Research Impact

The research associated with Dai Chu contributes to efforts to improve dexterous and anthropomorphic robotics by translating human movement characteristics into measurable engineering principles. His work has appeared in biomedical engineering, robotics, and bio-inspired robotics venues, providing methods that may support future research in manipulation, assistive technologies, and human-machine systems. [3] [4]

Award Suitability

Based on the supplied profile and indexed research record, Dai Chu demonstrates research activity aligned with robotics, autonomous systems, and bio-inspired motion planning. His documented publications address human-inspired robotic design and movement analysis, providing relevant evidence for consideration under a Best Researcher Award, subject to the award’s independent evaluation criteria. [1] [4]

Conclusion

Dai Chu’s research demonstrates a focused contribution to bio-inspired robotics, particularly the analysis and engineering reproduction of human hand function. His publication record connects biomechanics, motion analysis, and robotic design, while indexed research metrics provide additional indicators for evaluation. Further assessment should consider originality, methodological rigor, impact, and sustained contributions. [1] [3]

References

  1. Elsevier. (n.d.). Scopus author details: Dai Chu, Author ID 57226126803. Scopus.

    https://www.scopus.com/pages/authors/57226126803

  2. Frontiers. (n.d.). Dai Chu research profile. Frontiers Loop.

    https://loop.frontiersin.org/people/2165209/network

  3. Chu, D., Xiong, C., Huang, Z., Yang, J., Ma, J., Zhang, J., Sun, B., & Cai, J. (2024). Human Palm Performance Evaluation and the Palm Design of Humanoid Robotic Hands. IEEE Robotics and Automation Letters, 9(3), 2463–2470.

    https://doi.org/10.1109/LRA.2024.3354619

  4. Ma, J., Sun, B.-Y., Chu, D., Yang, J., Zhang, J., & Xiong, C.-H. (2025). Maximizing anthropomorphic grasping abilities of bio-inspired underactuated robotic hands. Bioinspiration & Biomimetics, 20(6).

    https://doi.org/10.1088/1748-3190/ae0aa3

Deniz Bingöl | Design of Experiments | Innovative Research Award

Innovative Research Award

Deniz Bingöl,
Kocaeli University.

Deniz Bingöl
Affiliation Kocaeli University
Country Turkey
Scopus ID 6506971252
Documents 51
Citations 1,891
h-index 24
Subject Area Modification methods for agricultural waste materials
Event World Statistics Awards
ORCID 0000-0002-9396-2422

Deniz Bingöl is a researcher affiliated with Kocaeli University whose scholarly profile reflects sustained activity in research concerning innovative modification approaches for agricultural waste materials. Available bibliometric information records 51 documents, 1,891 citations, and an h-index of 24, providing measurable indicators of research productivity and scholarly visibility in relevant academic fields.[1] [2]

Abstract

Deniz Bingöl’s research profile is associated with innovative approaches to modifying agricultural waste materials, emphasizing scientific investigation of materials with potential research and practical relevance. Bibliometric indicators provide evidence of an established scholarly record, while the researcher’s institutional and persistent identifiers support transparent academic attribution and verification across research information systems.[1] [2]

Keywords

  • Agricultural waste materials
  • Material modification
  • Innovative research
  • Sustainable materials
  • Research impact
  • Scientific innovation

Introduction

Agricultural waste represents an important research resource because its physical and chemical characteristics can be investigated for improved material applications. Research on modification methods seeks to enhance useful properties while supporting resource efficiency and sustainable scientific practice. Bingöl’s research area aligns with this broader interdisciplinary objective, connecting agricultural residues with innovative materials research.[1]

Research Profile

Deniz Bingöl is affiliated with Kocaeli University and has an indexed scholarly profile identified through Scopus Author ID 6506971252 and ORCID 0000-0002-9396-2422. The available record contains 51 documents, 1,891 citations, and an h-index of 24, indicating sustained publication activity and measurable academic visibility within indexed research literature and scholarly databases.[1] [2]

Research Contributions

The stated research specialization focuses on developing new modification methods for agricultural waste materials. Such work can contribute to understanding how treatment or modification influences material characteristics, functionality, and potential utilization. From an academic perspective, this research direction supports investigation of resource-derived materials while encouraging approaches that connect scientific experimentation with sustainable material development and innovation.[1]

Publications

The researcher’s indexed publication record comprises 51 documents according to the supplied Scopus profile information. Individual publication titles, journals, years, citation histories, and digital identifiers should be verified directly against authoritative bibliographic records before formal citation. Where applicable, DOI identifiers provide persistent access to individual scholarly publications and support accurate bibliographic verification across academic databases.[1] [3]

Research Impact

Bingöl’s reported bibliometric indicators include 1,891 citations and an h-index of 24, offering quantitative measures of scholarly visibility and citation influence. These indicators should be interpreted alongside publication quality, research originality, collaboration, and disciplinary context rather than independently. Together, the available metrics indicate an established research presence within indexed academic literature and scholarly communication.[1]

Award Suitability

The Innovative Research Award can be considered in relation to Bingöl’s research focus, documented publication activity, and work involving modification methods for agricultural waste materials. The combination of a defined innovation-oriented subject area and established bibliometric record provides relevant evidence for consideration. Final recognition should remain dependent on the award’s official evaluation criteria and submitted supporting documentation.[1]

Conclusion

Deniz Bingöl presents a documented academic profile connected with Kocaeli University and research concerning innovative modification methods for agricultural waste materials. The reported record of 51 documents, 1,891 citations, and an h-index of 24 provides measurable evidence of scholarly activity. These characteristics support consideration for recognition while maintaining appropriate academic verification standards.[1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Deniz Bingöl, Author ID 6506971252. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=6506971252

  2. ORCID. (n.d.). ORCID record: Deniz Bingöl. ORCID.

    https://orcid.org/0000-0002-9396-2422

  3. Google Scholar. (n.d.). Deniz Bingöl — Google Scholar profile.

    https://scholar.google.com.tr/citations?user=R_4iEIkAAAAJ&hl=tr&oi=ao