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

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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

Yu Wang | Operations Research and Statistical Optimization | Innovative Research Award

Published on by Statistics

Innovative Research Award

Yu Wang,
Shanghai Normal University

Yu Wang
Affiliation Shanghai Normal University
Country China
Scopus ID 55458238700
Documents 66
Citations 654
h-index 14
Subject Area Algebra
Event World Statistics Awards
ORCID 0000-0002-7837-3988

The Innovative Research Award recognizes scholarly excellence by highlighting researchers whose sustained academic contributions demonstrate originality, measurable research impact, and international visibility. Yu Wang’s documented work in algebra provides an academic profile suitable for consideration within the World Statistics Awards framework.[1]

Abstract

Yu Wang is an algebra researcher affiliated with Shanghai Normal University whose scholarly output demonstrates sustained publication activity, measurable citation performance, and recognized academic influence. This article summarizes research achievements, publication record, research impact, and award suitability using publicly available scholarly information.[1]

Keywords

Algebra, Mathematical Research, Scholarly Publications, Scopus, Citation Analysis, Research Excellence, Academic Recognition, Innovative Research Award.

Introduction

Yu Wang conducts research in algebra with emphasis on advancing theoretical mathematics through peer-reviewed investigations. Academic productivity, citation performance, and international dissemination collectively reflect sustained scholarly engagement. These measurable indicators support objective evaluation of research quality and professional recognition within established academic assessment frameworks.[2]

Research Profile

Affiliated with Shanghai Normal University, Yu Wang has authored sixty-six indexed publications and accumulated more than six hundred citations. An h-index of fourteen indicates consistent scholarly influence across algebra research while demonstrating active participation in internationally indexed scientific literature databases.[1]

Research Contributions

Research contributions focus on advancing algebraic theory through rigorous mathematical analysis, collaborative investigations, and publication in recognized scholarly journals. The work enhances understanding of algebraic structures while providing valuable references for subsequent theoretical developments and future interdisciplinary mathematical studies.[3]

Publications

The publication portfolio includes sixty-six Scopus-indexed documents distributed across peer-reviewed journals and collaborative research articles. These publications demonstrate continued academic productivity, methodological consistency, and contributions to mathematical scholarship supported by persistent citation activity within the international research community.[1]

Research Impact

Citation metrics exceeding six hundred references indicate that Yu Wang’s research has received meaningful scholarly attention. Continued citation growth and an established h-index reflect sustained academic relevance, supporting the influence of published findings within algebra and related mathematical research disciplines.[1]

Award Suitability

Available scholarly indicators demonstrate a balanced combination of publication productivity, citation performance, institutional affiliation, and research continuity. These objective achievements align with common academic evaluation criteria frequently considered during recognition processes associated with international research and innovation awards.[4]

Conclusion

Yu Wang’s documented academic profile reflects sustained scholarly engagement through peer-reviewed publications, measurable citation impact, and recognized expertise in algebra. These characteristics collectively illustrate a research record suitable for academic recognition while encouraging continued contributions to mathematical science and international collaboration.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Yu Wang, Author ID 55458238700. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=55458238700

  2. ORCID. (n.d.). ORCID Record: 0000-0002-7837-3988.

    https://orcid.org/0000-0002-7837-3988

  3. DOI Foundation. (2020). Journal of Algebra article.

    https://doi.org/10.1016/j.jalgebra.2020.01.001

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

    https://statisticsaward.com

Om Sambhaji Shelke | Operations Research and Statistical Optimization | Excellence in Research Award

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Dr. Om Sambhaji Shelke | Operations Research and Statistical Optimization | Excellence in Research Award

Sinomune Pharmaceutical Co. Ltd | China

Dr. Om Sambhaji Shelke is a highly accomplished pharmaceutical scientist with extensive expertise in the formulation and development of topical, semisolid, solid, and liquid drug products. Holding a Ph.D. in Pharmacy and an M. Pharmacy from Savitribai Phule Pune University, he has over a decade of experience across global markets including the US, EU, China, Hong Kong, and India. Currently serving as Chief Scientist at Sinomune Pharmaceutical Co. Ltd. in Wuxi, Jiangsu, China, Dr. Shelke leads the development of generic topical products for the NMPA market. He is skilled in Quality by Design (QbD)-based development of creams, ointments, gels, shampoos, and solutions, with specialization in novel formats such as emulgel, organogel, nanogel, solid lipid nanoparticles, suspensions, and toothpaste. He also holds three granted patents and has published multiple scientific and technical articles. Throughout his career, he has received multiple awards recognizing his innovation, knowledge sharing, and leadership, including the StarFire Award. Dr. Shelke has held pivotal roles at leading pharmaceutical and consumer healthcare companies such as Prinbury Biopharm Co. Ltd., Encube Ethicals Pvt Ltd., Bright Future Pharmaceuticals Ltd., Unilever Industries Pvt Ltd., Abbott Healthcare Pvt Ltd., Dr. Reddy’s Laboratories, and Glenmark Pharmaceuticals Ltd., contributing to both regulatory-compliant NDA, ANDA, and 505(b)(2) products as well as OTC, cosmetic, and personal care formulations. His professional journey reflects a consistent commitment to scientific excellence, innovative product development, and leadership in cross-functional teams, positioning him as a prominent figure in global pharmaceutical research and development.

Profiles: Google Scholar | Orcid

Featured Publications

F. Jie, O. Shelke, Z. Yijie, C. Yulan, & L. Yongbo. (2025). Q1 and Q2 selection, Q3, IVRT, IVPT, pharmacokinetic and pharmacodynamic evaluation of topical generic product. Drug Development and Industrial Pharmacy, 51(6), 555–565.

J. Feng, O. S. Shelke, Y. Chen, Z. Zhang, X. Tang, & Y. Zhu. (2025). IVRT and IVPT of desonide lotion and cream: Correlation with human bioequivalence study. Journal of Pharmaceutical Innovation, 20(5), 196.

S. Krishna Phani Chandra, S. Om Sambhaji, & N. Shorgar. (2025). Quantification of leniolisib in rat plasma using LC-MS/MS: Method development, validation, and pharmacokinetic study. African Journal of Biological Sciences, 7(7), 121–142.

S. Om. (2025). Editorial article: The transformative impact of AI in pharmaceutical drug product development. Insights of Pharmatech, 1(2), 1.

S. Gadge, O. S. Shelke, R. Pingale, P. Palande, S. Tandale, P. Sonawane, … (2025). Development and evaluation of a polyherbal neem-based emulgel enriched with herbal oils for enhanced topical delivery and antibacterial efficacy. Journal of Chemical Health Risks, 15(3), 2189–2209.

Oleg Selyugin | Big Data and Statistical Analytics | Big Data Analytics Award

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Dr. Oleg Selyugin | Big Data and Statistical Analytics | Big Data Analytics Award

Joint Institute for Nuclear Research | Russia

Dr. Oleg Selyugin is a Russian empirical and theoretical physicist with a distinguished career in high-energy hadron scattering and the structure of hadrons. After completing his studies at the Physics Department of Moscow State University, he joined the Joint Institute for Nuclear Research (JINR), first as a probationer and researcher at the Laboratory of Nuclear Problems, and later at the Bogoliubov Theoretical Laboratory (BTL), where he now serves as a leading scientist. At BTL, he earned his Ph.D. with the thesis “High energy elastic hadron-hadron scattering in a wide momentum transfer region,” and later obtained his Doctor of Physics and Mathematics degree with the thesis “The structure of high-energy amplitude of the elastic hadron-hadron scattering in the diffraction region.” Dr Selyugin has been recognized with multiple International Prizes of JINR for his outstanding contributions to polaron physics, hadron physics, and high-energy physics. His primary research interests include the structure of hadrons (PDFs, GPDs, form-factors), phenomenology of high-energy physics (differential cross sections, spin phenomena), models of extra dimensions (d-brane gravity), and nonlinear effects. He has been actively involved in interpreting experimental results from the CERN LHC, particularly the TOTEM and ATLAS Collaborations. His theoretical work integrates electromagnetic and gravitational form-factors derived from novel t-dependent GPDs, as well as soft and cross-even pomeron contributions, within dispersion-relation-based frameworks. With over 180 scientific papers, Dr Selyugin has made a profound and lasting impact on the understanding of elastic hadron scattering at high energies. Although specific bibliometric indicators such as 17 h-index, 78 documents, and 815 citations vary across databases, his scientific influence is widely recognized within the international physics community. He continues his pioneering research at JINR in Dubna, Russia.

Profiles: Scopus | Orcid

Featured Publications

Selyugin, O. V. (2024). Unified description of elastic hadron scattering at low and high energies. Physics of Atomic Nuclei, 87(S2), S349–S362.

Jianjian Chen | Operations Research and Statistical Optimization | Operations Research Award

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Dr. Jianjian Chen | Operations Research and Statistical Optimization | Operations Research Award

 Jiangxi University of Finance and Economics | China

Dr. Jianjian Chen is a lecturer in the School of Information Management and Mathematics at Jiangxi University of Finance and Economics, Jiangxi, P. R. China, where he has established himself as a promising scholar in the fields of management science, decision support, and electronic commerce. His research focuses on platform economics, online marketplaces, and decision support methodologies that contribute to both the theoretical and practical advancement of information systems and business strategies. Over the course of his career, Chen has built a solid portfolio of high-quality research, with his work appearing in well-regarded journals including Decision Support Systems, Information Systems Frontiers, Computers & Industrial Engineering, Electronic Commerce Research, and Electronic Commerce Research and Applications. These publications highlight his expertise in applying analytical and empirical methods to understand the complexities of digital platforms and e-commerce ecosystems. According to his Scopus profile Chen has published 7 scholarly documents, which have collectively received 86 citations, resulting in an h-index of 5, reflecting both the productivity and the impact of his research. His contributions not only enrich the academic discourse on decision support and electronic commerce but also offer practical insights for businesses navigating digital transformation and platform-based economies. Chen’s scholarship demonstrates a balance between rigorous methodological development and the application of innovative models to real-world problems, reinforcing his role as a valuable contributor to the intersection of management, information systems, and economics. By combining theoretical frameworks with practical problem-solving approaches, his research provides meaningful support for decision-making in the digital economy and underscores his growing influence within the international academic community.

Profile: Scopus 

Featured Publications

“Traditional e-commerce or live e-commerce? Online sales model selection strategies considering streamers’ bargaining behaviors”

Xhavit Islami | Econometrics and Statistical Economics | Best Researcher Award

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Assist Prof. Dr. Xhavit Islami | Econometrics and Statistical Economics | Best Researcher Award

AAB College | Albania

Assist Prof. Dr. Xhavit Islami is a leading academic in Management and Strategic Management at the Faculty of Economics, AAB College, Republic of Kosovo. He earned his PhD in Organizational Sciences and Management from the University of “Ss. Cyril and Methodius” in North Macedonia and has since built a strong record of research and scholarly contributions. Professor Islami has completed 35 research projects and is currently engaged in five ongoing projects, demonstrating his active involvement in advancing knowledge in management, strategic decision-making, human resource management, and supply chain management. He has published 16 articles in high-impact, Scopus-indexed journals and authored two books, reflecting his commitment to rigorous scholarship. His research work has earned him a Scopus h-index of 4 with 122 citations, highlighting the influence of his publications within the international academic community. He has also participated in five consultancy and industry-sponsored projects, bridging the gap between theory and practice. Professor Islami has collaborated on significant initiatives, including the “EDU-LAB Horizon” Project (2025–2027), and serves on the Scientific Committee of AAB College. His studies focus on innovative strategies, organizational performance, and the integration of artificial intelligence in management practices, providing practical insights for businesses and policymakers. Through his research, he has contributed to the understanding of competitive advantage, sustainable growth, and organizational effectiveness. Professor Islami maintains active professional profiles on Scopus, ORCID, ResearchGate, SSRN, and Academia.edu, ensuring his work is accessible and widely recognized. His scholarly achievements, combined with his ongoing research and industry collaborations, position him as a prominent figure in management and strategic studies, making him a highly deserving candidate for the Best Researcher Award.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

“When and How Does Innovation Augment the Effect of HRM on SME Performance?”

“Artificial intelligence and value-based strategy: a literature review and future research directions”

“Lean manufacturing and firms’ financial performance: the role of strategic supplier partnership and information sharing”

“Does competitive strategy moderate the linkage between HRM practices and company performance”

“The Role of Internal Human Resource Orchestration on Firm Performance”