Osama Ogilat | Linear Algebra | Innovative Research Award

Published on by Math Scientist

Innovative Research Award

               Osama Ogilat
Affiliation Information not provided
Country Jordan
Scopus ID 57195353514
Documents 53
Citations 551
h-index 13
Subject Area Linear Algebra
Event Math Scientist Awards
ORCID 0000-0003-2370-6332

Osama Ogilat is a researcher from Jordan whose supplied academic profile is associated with the field of linear algebra. The bibliometric information provided for the researcher includes Scopus Author ID 57195353514, 551 citations, and an h-index of 13.[1]

Abstract

This article provides an academic recognition profile of Osama Ogilat, a researcher from Jordan whose supplied subject area is linear algebra. The available bibliometric information reports 551 citations and an h-index of 13 under Scopus Author ID 57195353514.[1] Linear algebra is a foundational area of mathematics concerned with vectors, vector spaces, matrices, linear transformations, systems of linear equations, and related algebraic structures. The profile is presented in relation to the Math Scientist Awards as a neutral summary of the supplied scholarly information.

Keywords

Linear Algebra, Matrix Theory, Vector Spaces, Linear Transformations, Eigenvalues, Eigenvectors, Numerical Linear Algebra, Computational Mathematics, Applied Mathematics, Mathematical Modelling, Matrix Analysis, Linear Systems, Optimization, Mathematical Statistics, Numerical Methods, Algebraic Structures, Research Impact, Bibliometrics, Scopus, Math Scientist Awards.

Introduction

Linear algebra provides mathematical tools for representing and analyzing linear relationships among variables. Its concepts are fundamental to numerous areas of mathematics, science, and engineering, including numerical analysis, statistics, optimization, computer science, physics, data science, and machine learning.[2]

Research Profile

The supplied academic information identifies the following principal elements of Osama Ogilat’s research profile:

The reported citation count and h-index provide quantitative indicators of indexed scholarly visibility. Such indicators are dynamic and may change as additional publications and citations are incorporated into bibliographic databases.[1]

Research Contributions

Research in linear algebra encompasses theoretical and computational studies of vector spaces, matrices, linear operators, systems of equations, eigenvalue problems, and matrix factorizations. These concepts provide a mathematical foundation for many computational techniques and analytical methods used across scientific disciplines.[2]

Publications

The supplied information identifies Osama Ogilat through Scopus Author ID 57195353514. A complete publication bibliography would require verification against the corresponding Scopus author record and individual publication sources. Such records can provide publication titles, journals, publication years, co-authors, citation information, and DOI identifiers.[1]

Research Impact

The supplied profile reports 551 citations and an h-index of 13. These bibliometric indicators demonstrate measurable citation activity associated with the researcher’s indexed scholarly output.[1]

Bibliometric measures should be interpreted within the context of the relevant discipline and database coverage. Citation practices differ among mathematical fields, journals, publication types, and research communities. Consequently, citation counts and h-index values are descriptive indicators and should be considered together with research quality, originality, methodological rigor, and broader scholarly contributions.

Award Suitability

The Math Scientist Awards constitute the stated recognition context for this academic profile. The supplied evidence identifies a Scopus-indexed researcher working in the area of linear algebra, with 551 reported citations and an h-index of 13. These indicators may provide relevant evidence for an academic recognition process, subject to the official eligibility criteria, nomination procedures, and evaluation standards of the awarding organization.

Conclusion

Osama Ogilat is presented in the supplied academic information as a Jordanian researcher associated with linear algebra. The reported Scopus profile contains 551 citations and an h-index of 13. These measures provide a quantitative description of indexed scholarly visibility and may form part of a broader assessment of academic activity. A comprehensive evaluation should additionally consider the originality, quality, significance, and influence of the researcher’s individual publications.[1]

References

  1. Mathematical modeling of human–rodent monkeypox infectious disease using a hierarchical approach, https://scik.org/index.php/cmbn/article/view/9583
  2. Spin-polarized DFT study of Pr2EuMO6 (M = Co, Fe) double perovskites for spintronic and energy applications, https://doi.org/10.1039/d6ra01748g
  3. Analysis of Elliptic Inverse Heat Conduction Problems Using a Pascal Polynomial Numerical Approach, 10.22055/jacm.2026.48835.5535
  4. Hyers–Ulam stability of a nonlinear fractional hybrid dynamic equations on arbitrary time scales via measures of noncompactness, https://link.springer.com/article/10.1186/s13663-026-00839-3
  5. Investigation of nanofluid through converging-diverging stretching Riga surface, https://doi.org/10.1177/23977914261443

Heungseob Kim | Stochastic Modelling | Innovative Research Award

Published on by Math Scientist

Innovative Research Award

           Heungseob Kim
Affiliation Changwon National University
Country South Korea
Scopus ID 57191904084
Documents 14
Citations 454
h-index 8
Subject Area Stochastic Modelling
Event Math Scientist Awards
ORCID 0000-0003-0090-5670

Changwon National University, South Korea

 

Heungseob Kim is a researcher from South Korea whose supplied academic profile is associated with the field of stochastic modelling. The bibliometric information provided for the researcher includes Scopus Author ID 57191904084, 454 citations, and an h-index of 8.[1]

The profile is presented in the context of the Math Scientist Awards, with research recognition considered in relation to scholarly activity, quantitative research indicators, and contributions to mathematical and stochastic modelling research. The information should be evaluated alongside official bibliographic records and the award organization’s published criteria.

Abstract

This article provides an academic recognition profile of Heungseob Kim, a South Korean researcher whose supplied subject area is stochastic modelling. The available bibliometric data report 454 citations and an h-index of 8 in association with Scopus Author ID 57191904084.[1] Stochastic modelling is an important area of mathematical and applied research concerned with representing systems and phenomena that incorporate randomness or uncertainty. The profile is considered in relation to the Math Scientist Awards and is intended as a neutral scholarly summary of the supplied information.

Keywords

Stochastic Modelling, Stochastic Processes, Probability Theory, Applied Mathematics, Mathematical Modelling, Statistical Modelling, Random Processes, Markov Processes, Time Series, Simulation, Mathematical Statistics, Computational Mathematics, Uncertainty Quantification, Risk Modelling, Dynamical Systems, Research Impact, Bibliometrics, Scopus, Citation Analysis, Math Scientist Awards.

Introduction

Stochastic modelling provides mathematical frameworks for describing systems affected by random variation and uncertainty. Stochastic models are widely used in fields including applied mathematics, statistics, engineering, finance, operations research, epidemiology, physics, and computational science. Such models can assist researchers in analyzing temporal behavior, estimating uncertainty, and evaluating possible outcomes under probabilistic assumptions.[2]

Stochastic processes form a central foundation of this research domain. Depending on the characteristics of the system under study, researchers may employ discrete- or continuous-time processes, Markov models, diffusion processes, renewal processes, queueing models, or other probabilistic frameworks.[3]

Research Profile

The supplied academic information identifies the following principal elements of Heungseob Kim’s research profile:

The supplied Scopus indicators provide a quantitative description of the researcher’s indexed scholarly visibility. Citation counts and h-index values may change over time as databases are updated and additional publications and citations are indexed.[1]

Research Contributions

Research in stochastic modelling commonly focuses on the formulation, analysis, simulation, and application of mathematical models incorporating random behavior. These approaches can be used to describe uncertain systems and to investigate probabilistic relationships among variables over time.[2]

Potential areas associated with stochastic modelling include stochastic differential equations, Markov processes, queueing theory, reliability analysis, stochastic optimization, Monte Carlo simulation, statistical inference, and uncertainty quantification. The specific contributions attributable to individual publications should be determined from the original scholarly records rather than inferred solely from the subject-area classification.

Publications

The supplied information identifies Heungseob Kim through Scopus Author ID 57191904084. A complete verified bibliography would require access to the corresponding Scopus author record or individual publication records. Such records can provide publication titles, journals, publication years, co-authors, citation counts, and DOI identifiers.[1]

Research Impact

The supplied bibliometric profile reports 454 citations and an h-index of 8. These indicators demonstrate that the researcher’s indexed scholarly output has received citations within the literature and that the profile has measurable bibliometric visibility.[1]

Bibliometric indicators should be interpreted within their disciplinary and database context. Citation behavior varies substantially among research fields, publication types, journals, and time periods. Accordingly, citation counts and h-index values are useful descriptive measures but should be considered together with research originality, methodological quality, publication venues, and broader scholarly contributions.

Award Suitability

The Math Scientist Awards constitute the stated recognition context for this profile. The supplied evidence identifies a Scopus-indexed researcher with a documented research area in stochastic modelling, 454 reported citations, and an h-index of 8. These indicators may be relevant to an academic recognition process, subject to the official eligibility requirements, nomination procedures, and evaluation standards of the awarding organization.

Conclusion

Heungseob Kim is presented in the supplied academic information as a South Korean researcher associated with stochastic modelling. The reported Scopus profile contains 454 citations and an h-index of 8. These bibliometric measures provide evidence of indexed scholarly visibility and can serve as part of a broader assessment of academic activity. A comprehensive evaluation of research excellence should additionally consider the content, originality, rigor, and significance of the researcher’s publications.[1]

References

  1. Mixed-Integer Linear Programming Model for Scheduling Missions and Communications of Multiple Satellites, https://doi.org/10.3390/aerospace11010083
  2. Parallel Genetic Algorithm with Knowledge Archives for the Redundancy Allocation Problem in a Mixed Redundant System, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4283392
  3. Lifetime Distribution for a Mixed Redundant System with Imperfect Switch and Components Having Phase–Type Time-to-Failure Distribution, https://www.mdpi.com/2227-7390/12/8/1191
  4. Enhancing decision knowledge by developing a quantitative framework for holistic exploratory acquisition policy analysis, https://incose.onlinelibrary.wiley.com/doi/10.1002/sys.21632
  5. Markov-based reliability model for a mixed redundant system and parallel genetic algorithm with knowledge archives for a redundancy allocation problem, https://www.sciencedirect.com/science/article/abs/pii/S0951832023004994?via%3Dihub

Frederick Silver | Mathematical Biology | Innovative Research Award

Published on by Math Scientist

Innovative Research Award

Frederick Silver — Rutgers University, United States
              Frederick Silver
Affiliation Rutgers University
Country United States
Scopus ID 7007010957
Documents 9
Citations 270
h-index 7
Subject Area Mathematical Biology
Event Math Scientist Awards

Frederick Silver is identified in the supplied information as a researcher from the United States whose stated subject area is Mathematical Biology. The supplied Scopus author identifier is 7007010957, with a reported citation count of 270 and an h-index of 7. These bibliometric indicators provide quantitative information about an indexed research profile and are most appropriately interpreted alongside publication quality, originality, disciplinary context, and broader scholarly contributions.

Abstract

This academic recognition profile presents the supplied research information concerning Frederick Silver and its potential relevance to the Innovative Research Award associated with the Math Scientist Awards. The available information identifies Mathematical Biology as the subject area and the United States as the country associated with the researcher. The supplied bibliometric indicators comprise 270 citations and an h-index of 7 under Scopus ID 7007010957. Bibliometric measures can provide useful contextual evidence of scholarly visibility but do not independently establish research quality, originality, or award eligibility.

Keywords

Mathematical Biology, biomathematics, mathematical modeling, biological systems, mathematical sciences, computational biology, systems biology, population dynamics, mathematical modeling in biology, theoretical biology, biological mathematics, quantitative biology, mathematical research, interdisciplinary research, citation analysis, h-index, Scopus, research impact, research innovation, Math Scientist Awards, Innovative Research Award, United States.

Introduction

Mathematical Biology applies mathematical concepts, models, analytical techniques, and computational approaches to the study of biological phenomena. The field encompasses subjects including population dynamics, epidemiology, systems biology, ecology, biological pattern formation, evolutionary processes, and quantitative descriptions of physiological systems. Its interdisciplinary character enables mathematical methods to be used for describing, analyzing, and predicting biological behavior.

Research Profile

Frederick Silver is identified in the supplied information as a researcher associated with Mathematical Biology in the United States. The profile carries the Scopus author identifier 7007010957. The supplied bibliometric values are 270 citations and an h-index of 7. Author identifiers can help distinguish researchers within bibliographic databases, while citation and h-index values can change as databases receive new records and citations.

Research Contributions

Mathematical Biology provides a framework for connecting mathematical theory with biological observations and mechanisms. Research in this area may involve differential equations, stochastic processes, dynamical systems, statistical modeling, computational simulation, optimization, network models, and other mathematical techniques applied to biological questions. The specific contributions of an individual researcher should be established from verified publications rather than inferred solely from the subject classification.

Publications

No individual publication titles, journal names, publication dates, or verified DOI records were supplied with the profile data. Consequently, specific publications are not attributed to Frederick Silver on this page without verification. The supplied Scopus identifier may be used as a starting point for locating and confirming the indexed publication record.

Research Impact

The supplied profile records 270 citations and an h-index of 7. The h-index was developed as a quantitative measure combining aspects of publication productivity and citation impact, although its interpretation is influenced by disciplinary practices, career stage, database coverage, and differences in citation behavior.[3] Citation totals likewise change as publications are indexed and additional citations accumulate.

Award Suitability

The proposed recognition is the Innovative Research Award associated with the Math Scientist Awards. The supplied profile identifies a researcher, a defined interdisciplinary subject area, a country, a Scopus author identifier, and measurable citation indicators. These elements can provide useful background information for an academic recognition process.

Conclusion

Frederick Silver is presented in the supplied information as a United States researcher in Mathematical Biology with Scopus ID 7007010957, 270 citations, and an h-index of 7. These data provide a concise bibliometric description of the supplied research profile. The Innovative Research Award within the Math Scientist Awards may be considered in relation to this profile, subject to verification of the researcher’s scholarly record and compliance with the official award criteria.

References

  1. Elsevier. Scopus. Bibliographic database and author profiling service.
    https://www.scopus.com/.
  2. Herpetic croup: two case reports and a review of the literature, https://pubmed.ncbi.nlm.nih.gov/8834994/

Fahreddin Abdullayev | Polynomials | Innovative Research Award

Published on by Math Scientist

 

Innovative Research Award

Fahreddin Abdullayev —USAK UNIVERSITY, Turkey
      Fahreddin Abdullayev
Affiliation USAK UNIVERSITY
Country Turkey
Scopus ID 6603092632
Documents 113
Citations 763
h-index 17
Subject Area Polynomials
Event Math Scientist Awards
ORCID 0000-0002-9711-0796

Fahreddin Abdullayev is a researcher associated with mathematical research in the area of polynomials in Turkey. The supplied bibliometric information records a Scopus author identifier of 6603092632, 763 citations, and an h-index of 17. These indicators provide a quantitative description of the research record associated with the supplied author profile and may be considered alongside publication quality, originality, collaboration, and broader scholarly contributions when evaluating research recognition.

Abstract

This academic recognition profile presents the research record of Fahreddin Abdullayev in the subject area of polynomials and its relevance to the Innovative Research Award associated with the Math Scientist Awards. The available information identifies Turkey as the researcher’s country and reports 763 citations and an h-index of 17 under Scopus ID 6603092632. Bibliometric indicators such as citation counts and h-index values are commonly used as supplementary measures of scholarly influence, although they do not independently establish research quality or award eligibility.

Keywords

Polynomials, mathematical research, algebra, mathematical analysis, scholarly impact, bibliometrics, research innovation, citation analysis, h-index, Scopus, mathematical sciences, research recognition, Math Scientist Awards, Turkey.

Introduction

Research on polynomials constitutes an important component of modern mathematics, with connections to algebra, approximation theory, numerical methods, complex analysis, and other areas of mathematical science. Academic evaluation in such fields may incorporate both qualitative evidence, such as originality and methodological contribution, and quantitative indicators derived from recognized bibliographic databases.

Research Profile

Fahreddin Abdullayev is identified in the supplied information as a researcher from Turkey whose principal subject area is Polynomials. The associated Scopus author identifier is 6603092632. The reported citation count is 763, while the reported h-index is 17. Scopus author identifiers are intended to distinguish researchers and help consolidate scholarly outputs within the database, while citation and h-index values can change as databases are updated.

Research Contributions

The supplied subject classification places Abdullayev’s research within polynomials. In mathematical research, polynomial theory encompasses a broad range of problems involving the algebraic and analytical properties of polynomial functions, their roots, coefficients, approximation behavior, transformations, and relationships with other mathematical structures. The precise contributions attributable to an individual researcher should be established from verified publications rather than inferred solely from a subject classification.

Publications

No individual publication titles, journal information, publication years, or DOI identifiers were supplied with the award profile. Accordingly, specific publications are not attributed to Fahreddin Abdullayev on this page without verification. The Scopus identifier supplied above can be used as a starting point for confirming the researcher’s indexed publication record.

Research Impact

The supplied profile reports 763 citations and an h-index of 17. The h-index is a bibliometric indicator intended to combine aspects of publication productivity and citation impact, although its interpretation varies substantially between disciplines, career stages, publication practices, and database coverage.

Award Suitability

The proposed recognition is the Innovative Research Award within the Math Scientist Awards. Based on the information supplied, the profile presents a clearly identified research subject, a Scopus author identifier, and measurable citation indicators. These elements may be relevant supporting information for an academic recognition process.

Conclusion

Fahreddin Abdullayev is presented in the supplied information as a Turkish researcher working in the area of polynomials, with Scopus ID 6603092632, 763 citations, and an h-index of 17. These indicators provide a concise bibliometric overview of the supplied profile. The Innovative Research Award associated with the Math Scientist Awards can be evaluated more comprehensively when these indicators are supplemented by verified publication records and evidence addressing the award’s formal criteria.

References

  1. Direct and inverse approximation theorems of functions in the Musielak-Orlicz type spaces, DOI name: dx.doi.org/10.7153/mia-2021-24-23
  2. On the Growth of Derivatives of Algebraic Polynomials in Regions with a Piecewise Smooth Boundary, https://doi.org/10.3390/sym18010128
  3. Asymptotic Growth of Moduli of m-th Derivatives of Algebraic Polynomials in Weighted Bergman Spaces on Regions Without Zero Angles, https://doi.org/10.3390/axioms14050380
  4. Bernstein-Walsh-type inequalities for derivatives of algebraic polynomials on the regions of complex plane, DOI: 10.55730/1300-0098.3289
  5. Growth Estimates for m-th (m ≥ 1) Derivatives of Algebraic Polynomials in Domains with Piecewise Quasismooth Boundaries, https://www.mdpi.com/2075-1680/15/8/562

Basaznew Melak | Mathematical Modeling | Research Excellence Award

Published on by Math Scientist

Dr. Basaznew Melak | Mathematical Modeling | Research Excellence Award


Mekdela Amba University | Ethiopia

Dr. Basaznew Melak is a lecturer and researcher in mathematical modeling at Mekdela Amba University, Ethiopia. He has authored 5 publications with 32 citations and an h-index of 3. His research focuses on dynamical systems, biomathematics, and nonlinear modeling, contributing to applied mathematical analysis in real-world scientific problems.

Citation Metrics (Scopus)

50

40

30

20

10

0

Citations
32

Documents
5

h-index
3


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Featured Publications

Jyh-Haw Tang | Computational Mathematics | Numerical Analysis Research Award

Published on by Math Scientist

Prof. Jyh-Haw Tang | Computational Mathematics | Numerical Analysis Research Award

Professor | Chung Yuan Christian University | Taiwan

Prof. Jyh-Haw Tang is a Professor of Civil Engineering at Chung Yuan Christian University, Taiwan, specializing in computational fluid dynamics (CFD), hydraulics, and thermal and mass transfer. His research focuses on numerical simulation of fluid flows, surface irrigation systems, scour and sediment transport, and fluid–structure interactions, with applications in water resources engineering, environmental systems, and smart infrastructure.

Citation Metrics (Google Scholar)

300

225

150

75

0

Citations
265

Publications
30+

h-index
6

                       ■ Citations                ■ Publications                ■ h-index


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 View Orcid Profile
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Featured Publications

 

George Efthimiou | Mathematical Engineering | Best Researcher Award

Published on by Math Scientist

Dr. George Efthimiou | Mathematical Engineering | Best Researcher Award

Research scientist | FLUENC | Greece

Dr. George C. Efthimiou is a distinguished researcher specializing in Computational Fluid Dynamics (CFD), environmental modeling, and exposure prediction in urban and industrial environments. He earned his Ph.D. in Mechanical Engineering (2013) from the University of Western Macedonia, Greece, where his doctoral work focused on the Prediction of Individual Exposure using Computational Fluid Dynamics Modelling under the supervision of Professor John G. Bartzis.

His multidisciplinary background, combining energy resource management and mechanical engineering, underpins a career devoted to advancing sustainability, atmospheric dispersion modeling, and risk assessment methodologies.

Dr. Efthimiou has held key research positions at leading Greek institutions, including:

  • Postdoctoral Research Fellow at the Nuclear & Radiological Sciences & Technology, Energy & Safety Division, N.C.S.R. DEMOKRITOS (2014–2019)

  • Research Associate at the Sustainability Engineering Laboratory (SEL), Aristotle University of Thessaloniki (2019–2024)

  • Research Scientist at the Advanced Renewable Technologies & Environmental Materials in Integrated Systems Laboratory, Centre for Research and Technology – Hellas (CERTH)

His scientific contributions span urban air quality modeling, hazardous pollutant dispersion, exposure assessment, and renewable energy systems. His studies have provided validated methodologies for predicting human exposure to airborne hazards and have influenced policy and safety assessments in both industrial and environmental contexts.

Dr. Efthimiou’s research has been featured in international conferences and peer-reviewed journals such as Toxics, Fluids, and the Journal of Hazardous Materials Advances, highlighting his role in bridging theoretical modeling with practical environmental applications.

Profiles: Scopus | Orcid | Google Scholar 

Featured Publications

  1. Efthimiou, G. C., Barmpas, F., Tsegas, G., & Moussiopoulos, N. (2021). Development of an algorithm for prediction of the wind speed in renewable energy environments. Fluids, 6(12), 461.
    Citations: 6

  2. Efthimiou, G. C., Andronopoulos, S., Venetsanos, A., Kovalets, I. V., & Kakosimos, K. (2016). Modification and validation of a method for estimating the location of a point stationary source of passive non-reactive pollutant in an urban environment. In Proceedings of the 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes (HARMO 2016).
    Citations: 6

  3. Efthimiou, G. C., Bartzis, J. G., Berbekar, E., Hertwig, D., Harms, F., & Leitl, B. (2015). Modelling short-term maximum individual exposure from airborne hazardous releases in urban environments. Part II: Validation of a deterministic model with wind tunnel experiments. Toxics, 3(3), 259–267.
    Citations: 6

  4. Bartzis, J. G., Sakellaris, I. A., & Efthimiou, G. C. (2022). On exposure uncertainty quantification from accidental airborne point releases. Journal of Hazardous Materials Advances, 6, 100080.
    Citations: 5

  5. Mertzanis, A., Goudelis, G., Efthimiou, G., & Kontogianni, A. (2010). The impact to the environment and the geomorphological processes as a result of human activity in littoral and inland wetlands in Greece. In Proceedings of the International Conference on Protection and Restoration of the Environment.
    Citations: 7