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

Orhan Dalkilic | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Published on by Statistics

Mr. Orhan Dalkilic | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Bingol University | Turkey

Mr. Orhan Dalkilic is a distinguished mathematician and academic at Bingol University, Faculty of Arts and Sciences, Department of Mathematics. His research focuses on general topology, decision-making algorithms under uncertainty, hybrid set theories including fuzzy, rough, soft, neutrosophic, and virtual fuzzy parameterized soft (VFP-soft) sets, as well as data analysis and decision-support systems. He earned his Bachelor’s degree in Mathematics from Marmara University, followed by a Master’s and Ph.D. in Mathematics from Mersin University, specializing in the mathematical modelling of uncertainty and intelligent decision-making. Mr. Dalkilic has made substantial contributions to the development of mathematical models that enhance decision-making processes, providing innovative theoretical frameworks for handling uncertainty in real-world problems. With a prolific publication record, he has authored 49 academic works, including 20 papers indexed in the Science Citation Index (SCI), 243 Citation in Scopus, and 13 in other international journals. Among his SCI-indexed studies, 9 appear in Q1, 8 in Q2, and 3 in Q3 journals, reflecting his strong impact on the scientific community. His research often bridges mathematical theory and practical application, focusing on relationship analysis, topological structures, and soft computing techniques. Mr. Dalkilic has achieved an h-index of 14, an i10-index of 19, and has accumulated more than 650 citations, underscoring the influence and relevance of his scholarly output. His recent works, such as studies on decision-making approaches focusing on parameter-object relationships within soft set frameworks, highlight his continued commitment to advancing the fields of uncertainty theory and decision analysis. Through his innovative methods and interdisciplinary approach, Mr. Orhan Dalkilic has established himself as a leading researcher contributing significantly to the global development of modern applied mathematics and intelligent decision systems.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Dalkilic, O. (2025). Unifying relationships in uncertain environments: Examining relations in binary soft sets for expressing inter-object correspondence. The Journal of Supercomputing, 81(16), 1–29.

Stojanović, N., Vučićević, N., & Dalkilic  O. (2025). Decision-making algorithm based on the scored-energy of neutrosophic soft sets. Afrika Matematika, 36(3), 1–22.

Demirtaş, N., Dalkilic, O., & Şimşekler Dizman, T. (2025). Optimal parameter identification in soft set frameworks: A decision support model. Boletim da Sociedade Paranaense de Matemática, 43(3), 1–10.

Dalkilic, O. (2025). Decision-making approaches focusing on best parameter-object pair for soft set. Neural Computing and Applications, 1–19.

Dalkilic, O. (2025). Nötrosofik parametreli aşırı-esnek kümelerin karar vericiler için bir genellemesi. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 25(1), 81–88.