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

Jay Mancini | Pure Mathematics | Innovative Research Award

Published on by Math Scientist

Innovative Research Award

Jay Mancini —KINGSBOROUGH COMMUNITY COLLEGE, United States
      Jay Mancini
Affiliation KINGSBOROUGH COMMUNITY COLLEGE
Country United States
Scopus ID 57219831831
Documents 1
Citations 21
h-index 1
Subject Area Pure Mathematics
Event Math Scientist Awards

Jay Mancini is identified in the supplied information as a researcher from the United States whose stated subject area is Pure Mathematics. The supplied Scopus identifier is 57219831831, with a reported citation count of 21 and an h-index of 1. These bibliometric indicators provide quantitative information about the indexed research profile and should be interpreted together with publication quality, originality, disciplinary context, and other evidence of scholarly contribution.

Abstract

This academic recognition profile presents the supplied research information concerning Jay Mancini and its potential relevance to the Innovative Research Award associated with the Math Scientist Awards. The available data identify Pure Mathematics as the subject area and the United States as the country associated with the researcher. The supplied bibliometric indicators comprise 21 citations and an h-index of 1 under Scopus ID 57219831831. Bibliometric indicators can provide useful contextual evidence but do not independently establish research quality, originality, or award eligibility.

Keywords

Pure Mathematics, mathematical sciences, mathematical research, theoretical mathematics, algebra, analysis, number theory, geometry, mathematical structures, scholarly impact, citation analysis, h-index, Scopus, research recognition, research innovation, Math Scientist Awards, Innovative Research Award, United States.

Introduction

Pure mathematics investigates abstract structures, concepts, and relationships without requiring immediate practical application. Major areas include algebra, number theory, geometry, topology, analysis, logic, and related mathematical disciplines. Scholarly evaluation in these fields may consider theoretical originality, proof techniques, conceptual development, publication quality, peer recognition, and influence on subsequent research.

Research Profile

Jay Mancini is identified in the supplied information as a researcher associated with Pure Mathematics in the United States. The profile carries the Scopus author identifier 57219831831. The supplied bibliometric values are 21 citations and an h-index of 1. Author identifiers and citation metrics are useful for organizing and assessing indexed scholarly output, although database coverage and citation accumulation can vary over time.

Research Contributions

The supplied subject classification identifies Pure Mathematics as the principal research area. Pure mathematical research can involve the development of new theorems, mathematical structures, proofs, conjectures, classifications, algorithms, or theoretical frameworks. The precise contributions of an individual researcher should be established through verified scholarly publications and related primary sources rather than inferred solely from a broad 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 Jay Mancini on this page without verification. The supplied Scopus identifier may be used to locate and verify the indexed publication record through the relevant scholarly database.

Research Impact

The supplied profile records 21 citations and an h-index of 1. The h-index was introduced as a bibliometric measure combining publication productivity and citation impact, but its interpretation depends on disciplinary norms, career duration, database coverage, and publication patterns.[3] Citation counts similarly fluctuate as new publications are indexed and existing records are updated.

Award Suitability

The proposed recognition is the Innovative Research Award associated with the Math Scientist Awards. The supplied profile establishes a named researcher, a defined subject area, a country, a Scopus author identifier, and quantitative citation indicators. These elements can form part of a structured academic recognition profile.

Conclusion

Jay Mancini is presented in the supplied information as a United States researcher in Pure Mathematics with Scopus ID 57219831831, 21 citations, and an h-index of 1. 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. Genetically encoded cell-death indicators (GEDI) to detect an early irreversible commitment to neurodegeneration, https://www.nature.com/articles/s41467-021-25549-9

Mahenthiram Arunmaran | Complex Analysis | Research Excellence Award

Published on by Math Scientist

Dr. Mahenthiram Arunmaran | Complex Analysis | Research Excellence Award

Senior Lecturer in Mathematics | University of Jaffna | Sri Lanka

Dr. Mahenthiram Arunmaran is a Senior Lecturer at the University of Jaffna, Sri Lanka, specializing in pure mathematics. His research primarily focuses on complex analysis, particularly harmonic measure and its distribution functions in simply and multiply connected domains. He also contributes to bitopological spaces, exploring concepts such as semiconnectedness and compactness. His work combines rigorous theoretical analysis with applications in geometric function theory. Overall, his research advances mathematical understanding in complex and topological structures.

Citation Metrics (Google Scholar)

40

30

20

10

0

Citations
32

Documents
10

h-index
4


View Scopus Profile
 View Orcid Profile
 View Google Scholar Profile

Featured Publications

Fatemeh Barati | Pure Mathematics | Women Researcher Award

Published on by Math Scientist

Dr. Fatemeh Barati | Pure Mathematics | Women Researcher Award

Post graduated student | Qom university | Iran

Dr. Fatemeh Barati is a mathematician specializing in Finsler geometry, differential geometry, and Lie algebroid structures. She earned her Ph.D. in Mathematics from Qom University, Iran, where her doctoral research titled “On Landsberg Curvature in Finsler Geometry” focused on geometric structures and curvature properties within Finsler spaces. Her work explores advanced topics in curvature theory, Finsler metrics, and geometric structures on manifolds, contributing to the development of modern differential geometry.

Dr. Barati’s earlier research in Lie algebroids and topological fiber bundle structures reflects her deep engagement with the algebraic and geometric foundations of mathematics. She has presented her research at multiple national conferences, including the Geometric and Topology Seminar (GTS7) and The Seminar on Geometry and Topology (Tabriz, Iran).

Her publications—featured in journals such as Differential Geometry and its Applications and Computational Methods for Differential Equations—address topics like L-reducible Finsler metrics, Kropina metrics, and Ricci-quadratic Randers metrics, advancing both theoretical understanding and mathematical classification in geometry.

Profile: Google Scholar 

Featured Publications

  1. Tayebi, A., & Barati, F. (2024). On weakly stretch Kropina metrics. Differential Geometry and its Applications, 93, 102118.
    Citations: —

  2. Najafi, B., Tayebi, A., & Barati, F. (2025). Classification of three-dimensional left-invariant Ricci-quadratic Randers metrics and its applications. Computational Methods for Differential Equations.
    Citations: —

  3. Tayebi, A., & Barati, F. (2023). On L-reducible spherically symmetric Finsler metrics. Differential Geometry and its Applications, 90, 102028.
    Citations: 5

  4. Barati, F. (2023). On class of square Finsler metrics. Journal of Finsler Geometry and its Applications, 4(2), 74–91.
    Citations: —

  5. Barati, F., & Farhangdoost, M. R. (2014). Nilpotent and solvable Lie algebroids. International Journal of Multidisciplinary and Scientific Emerging Research, 3(2).
    Citations: 1