Kenneth Ojotogba Achema | Applied Mathematics | Best Applied Science Award

Published on by Applied Scientist

Best Applied Science Award

Kenneth Ojotogba Achema
Nelson Mandela University

Kenneth Ojotogba Achema
Affiliation Nelson Mandela University
Country South Africa
Scopus ID 57222041273
Documents 4
Citations 16
h-index 3
Subject area Applied Mathematics
Event Applied Scientist Awards
ORCID 0009-0009-3860-2422

Kenneth Ojotogba Achema is identified in the supplied information as a researcher affiliated with Nelson Mandela University, South Africa, with applied mathematics listed as the subject area. The provided bibliometric figures report four documents, 16 citations and an h-index of 3. These indicators offer a quantitative overview of the indexed research record but do not independently establish the quality, originality or practical impact of individual studies. The researcher’s scholarly records can be explored through Scopus, ORCID and Google Scholar. [1] [2]

Abstract

Kenneth Ojotogba Achema is associated with Nelson Mandela University and is identified in the supplied profile as working in applied mathematics. The provided bibliometric record reports four documents, 16 citations and an h-index of 3. These indicators describe aspects of indexed scholarly output and citation activity. A comprehensive assessment of research requires consideration of the underlying publications, research methods, originality, reproducibility and documented applications. This article summarizes the supplied profile and outlines considerations relevant to an applied-science award assessment without attributing unverified research achievements to the researcher. [1] [4]

Keywords

Kenneth Ojotogba Achema; applied mathematics; applied science; mathematical modelling; quantitative research; bibliometrics; scholarly publications; research evaluation; Nelson Mandela University; Applied Scientist Awards.

Introduction

Applied mathematics applies mathematical principles and analytical techniques to problems in science, engineering, technology and other fields. Depending on the research question, it may involve mathematical modelling, numerical analysis, optimization, differential equations, statistics or computational methods. The significance of an individual contribution depends on the problem addressed, the soundness of the methodology and the evidence supporting its findings.[1] [2]

Research Profile

Kenneth Ojotogba Achema is listed in the supplied information as affiliated with Nelson Mandela University in South Africa. Applied mathematics is the stated subject area. Detailed information about academic qualifications, appointments, research projects and specific mathematical specializations was not included in the supplied data and is therefore not inferred here. The supplied Scopus Author ID is 57222041273. The provided ORCID identifier is 0009-0009-3860-2422, and a Google Scholar profile is also available through the link listed below.[2] [3]

Research Contributions

The supplied information identifies the researcher’s subject area and bibliometric indicators but does not specify individual studies, mathematical models, algorithms, datasets or validated applications. Specific research contributions should therefore be described only after the corresponding publications or project records have been reviewed.

Publications

The supplied profile reports four indexed documents. The individual publication titles, co-authors, publication years, journal or conference details and DOI identifiers were not included in the information provided for this article. Accordingly, a verified publication bibliography cannot be generated from the available data alone.[4] [5]

Research Impact

Research impact can be assessed through several dimensions, including scholarly citations, methodological advances, disciplinary relevance, reproducibility and documented practical applications. Citation counts indicate that indexed publications have been cited, but they do not directly measure the validity, originality or societal value of a study. Citation patterns also vary by discipline, publication age and database coverage. [4]

Award Suitability

The Best Applied Science Award is the recognition category specified in the supplied brief. The Applied Scientist Awards website should be consulted for the official award categories, eligibility requirements, evaluation procedures and announcements.

The supplied bibliometric figures may assist with an initial review but are not sufficient by themselves to determine award merit. The information supplied for this article does not confirm that Kenneth Ojotogba Achema has received the award. An award result should be stated as fact only when supported by an official announcement or verified organizer documentation.

Conclusion

Kenneth Ojotogba Achema is identified in the supplied information as a researcher affiliated with Nelson Mandela University, with applied mathematics as the stated subject area. The provided profile reports four documents, 16 citations and an h-index of 3. These indicators offer a starting point for reviewing indexed research activity but should be considered alongside verified publications, research quality and documented contributions.

References

  1. Elsevier. (n.d.). Scopus author details: Kenneth Ojotogba Achema, Author ID 57222041273. Scopus. Author record supplied for profile verification.
    https://www.scopus.com/authid/detail.uri?authorId=57222041273
  2. RI Gweryina, C Alfiniyah, CE Madubueze, KO Achema. (2024). Nonlinear dynamics model of HIV/AIDS: Assessing the impacts of condoms, vaginal microbicides, and optimized treatment.
    https://www.sciencedirect.com/science/article/pii/S266681812400319X
  3. KO Achema, W Mbava. (2026). Age-structured modelling of aquatic populations exposed to multiple pesticides: Assessing the impacts on population dynamics with optimal control strategies.
    https://www.sciencedirect.com/science/article/pii/S2666720726001906
  4. KO Achema. (2025). Mathematical Model and Analysis of Toxicant Effect on Human Health in Fuzzy Environment.
    https://earthlinepublishers.com/index.php/ejms/article/view/1075
  5. KO Achema, D Okuonghae, I Tongo. (2021). Dual-level toxicity assessment of biodegradable pesticides to aquatic species.
    https://www.sciencedirect.com/science/article/pii/S1476945X21000040

Omar Abu Arqub | Applied Mathematics | Research Excellence Award

Published on by Applied Scientist

Research Excellence Award

Omar Abu Arqub
Al-Balqa Applied University, Jordan

Omar Abu Arqub
Affiliation Al-Balqa Applied University
Country Jordan
Scopus ID 55372355400
Documents 165
Citations 11,220
h-index 63
Subject Area Applied Mathematics
Event Applied Scientist Awards
ORCID 0000-0001-9526-6095

Omar Abu Arqub is a Jordanian applied mathematician and professor at Al-Balqa Applied University whose research activities span numerical analysis, fractional calculus, fuzzy systems, computational optimization, differential equations, and optimal control theory. His scholarly profile demonstrates substantial international visibility through a large portfolio of peer-reviewed publications, extensive citation impact, and sustained contributions to mathematical modeling and computational methodologies.[1] His work has contributed to the development of numerical algorithms, reproducing kernel methods, fractional differential equation models, and analytical approaches used across mathematics, engineering, physics, and interdisciplinary scientific applications.[2]

Abstract

Omar Abu Arqub’s academic profile in the context of recognition through the Research Excellence Award. The evaluation considers publication productivity, citation performance, international scholarly engagement, editorial activities, research leadership, and contributions to applied mathematics. Particular attention is given to his work in fractional calculus, numerical methods, fuzzy differential equations, reproducing kernel Hilbert space techniques, and computational optimization, which have attracted significant academic attention and generated substantial citation impact within the global mathematical sciences community.[1][3]

Keywords

Applied Mathematics; Fractional Calculus; Numerical Analysis; Computational Optimization; Differential Equations; Reproducing Kernel Methods; Fuzzy Systems; Mathematical Modeling; Research Impact; Scientific Recognition.

Introduction

Applied mathematics plays a central role in modern scientific advancement by providing analytical and computational tools for solving complex problems across engineering, physics, economics, and technology. Within this domain, Omar Abu Arqub has established a substantial research record characterized by methodological innovation and interdisciplinary applicability. His academic career includes appointments at Al-Balqa Applied University and collaborations with numerous international researchers, contributing to the development of advanced numerical and analytical frameworks for differential and fractional differential systems.[2]

Research Profile

Omar Abu Arqub has produced 165 indexed documents and accumulated more than 11,220 citations, resulting in a Scopus h-index of 63.[1] His research interests encompass fractional calculus theory, fuzzy calculus theory, stochastic systems, optimal control theory, numerical analysis, and computational optimization. These themes are reflected across a broad publication portfolio that addresses both theoretical developments and computational applications.[2]

Research Contributions

Omar Abu Arqub include the development and refinement of reproducing kernel Hilbert space methods, residual power series methodologies, and computational approaches for solving fractional differential equations. His studies have addressed mathematical models relevant to fluid dynamics, porous media, diffusion systems, optimal control problems, stochastic processes, and fuzzy environments.[2][4]

Publications

Selected publications demonstrate sustained contributions to numerical computation and fractional differential equations across leading international journals.[4]

  • Solving Fredholm integro-differential equations using reproducing kernel Hilbert space method, Applied Mathematics and Computation (2013).
  • Approximate analytical solution of the nonlinear fractional KdV-Burgers equation, Journal of Computational Physics (2015).
  • Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method, Soft Computing (2015).
  • Implementation of reproducing kernel Hilbert algorithm for fractional Burgers models, Results in Physics (2021).

Research Impact

Research impact may be assessed through publication productivity, citation performance, influence on emerging research directions, and engagement with the international scholarly community. Omar Abu Arqub’s citation record and h-index indicate that his publications have been widely referenced by researchers working in mathematics, computational science, engineering, and applied physics.[1]

Award Suitability

The available evidence suggests strong alignment with criteria commonly associated with research excellence awards. Factors supporting suitability include sustained publication output, significant citation influence, internationally visible scholarship, leadership in specialized research areas, extensive peer-review contributions, and demonstrated engagement in collaborative research projects.[1][2]

Conclusion

Omar Abu Arqub’s academic record demonstrates sustained contributions to applied mathematics through theoretical innovation, numerical algorithm development, interdisciplinary applications, and scholarly leadership.[5] His publication history, citation performance, editorial service, and international collaborations collectively indicate a substantial level of academic influence. These characteristics provide a scholarly basis for consideration within the framework of the Research Excellence Award and similar forms of academic recognition.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Omar Abu Arqub, Author ID 55372355400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55372355400
  2. Abu Arqub, O., El-Ajou, A., & Momani, S. (2013). New results on fractional power series: theories and applications. Entropy
    https://www.mdpi.com/1099-4300/15/12/5305
  3. Abu Arqub., & Momani, S. (2013). Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems.
    https://link.springer.com/article/10.1007/s00500-016-2262-3
  4. Abu Arqub, O., El-Ajou, A., & Momani, S. (2015). Approximate analytical solution of the nonlinear fractional KdV-Burgers equation: A new iterative algorithm. Journal of Computational Physics.
    https://www.sciencedirect.com/science/article/pii/S0021999114005506
  5. Abu Arqub, O., El-Ajou, A. (2013). Solution of the fractional epidemic model by homotopy analysis method .
    https://www.sciencedirect.com/science/article/pii/S1018364712000043

Illych Alvarez | Dynamic Systems | Best Researcher Award

Published on by Applied Scientist

Prof. Dr. Illych Alvarez | Dynamic Systems | Best Researcher Award

Research Professor at Escuela Superior Politecnica del Litoral | Ecuador

Prof. Dr. Illych Ramses Alvarez Alvarez is an emerging researcher in applied mathematics, focusing on dynamical systems, numerical modeling, and STEM education innovation. His work integrates chaotic dynamics, fuzzy systems, and computational simulations to address complex scientific and educational challenges. He has contributed 12 Scopus-indexed publications with 7 citations and an h-index of 2, reflecting growing academic impact. His research demonstrates interdisciplinary relevance, particularly in mathematical modeling and applied problem-solving. With consistent scholarly output and peer-review engagement, he shows strong potential for future contributions, supporting his suitability for recognition under a Research Excellence Award in an emerging researcher category.

Citation Metrics (Scopus)

16

12

8

4

0

Citations
7

Documents
12

h-index
2

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