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

Stephen Chelko | Data Science | Best Research Article Award

Published on by Math Scientist

 

Best Research Article Award

          Stephen Chelko
Affiliation Florida State University College of Medicine
Country United States
Scopus ID 54973874200
Documents 47
Citations 1,635
h-index 18
Subject Area Data Science
Event Math Scientist Awards
ORCID 0000-0003-1675-5945

Stephen Chelko

Florida State University College of Medicine, United States

Stephen Chelko is an academic researcher whose scholarly contributions have been recognized through extensive publications, citation impact, and interdisciplinary research activities. His work contributes to contemporary scientific knowledge and has attracted considerable attention within the international research community. Based on available scholarly indicators, his research profile demonstrates sustained academic productivity and measurable scientific influence.[1]

Abstract

This article summarizes the scholarly profile of Stephen Chelko in relation to the Best Research Article Award. The overview highlights publication activity, citation performance, research influence, and scholarly recognition using publicly available bibliometric indicators. Such metrics provide an objective framework for evaluating academic excellence while acknowledging that research quality is reflected through peer-reviewed publications, collaboration, and scientific impact.[1]

Keywords

Data Science, Scientific Research, Academic Excellence, Bibliometrics, Research Articles, Citation Analysis, Scopus, Innovation, Knowledge Discovery, Scientific Impact.

Introduction

Academic awards recognize sustained contributions to scientific advancement through high-quality research outputs. Evaluation criteria frequently include originality, citation influence, publication quality, interdisciplinary collaboration, and measurable research outcomes. Bibliometric indicators complement peer review by providing transparent evidence of scholarly productivity.[2]

Research Profile

  • Researcher: Stephen Chelko
  • Country: United States
  • Scopus Author ID: 54973874200
  • Citation Count: 1,635
  • h-index: 18
  • Subject Area: Data Science

Research Contributions

Stephen Chelko’s research portfolio reflects active engagement in scholarly publishing and contributes to the development of scientific knowledge within his research domain. Citation metrics indicate that published studies have received substantial attention from the international research community, supporting continued academic influence.[1]

Publications

  • Peer-reviewed journal articles indexed by Scopus.
  • Research contributions in Data Science and related interdisciplinary fields.
  • Publications demonstrating measurable citation impact.

Research Impact

The available bibliometric indicators show a citation count exceeding one thousand together with an h-index of eighteen. These indicators suggest that multiple publications have been consistently cited across the scientific literature, reflecting sustained scholarly visibility and influence.[1]

Award Suitability

Based on publicly available bibliometric evidence, Stephen Chelko demonstrates characteristics commonly considered during evaluation for research recognition, including publication productivity, citation impact, peer-reviewed scholarship, and measurable scientific influence. Final award decisions remain subject to the official assessment procedures established by the organizing committee.[2]

Conclusion

Stephen Chelko’s academic profile reflects an established record of scientific contribution supported by recognized bibliometric indicators. His publication activity, citation performance, and scholarly engagement collectively provide evidence of sustained research impact within the academic community.

References

  1. Acute binge alcohol increases risk of arrhythmias and myocardial fibrosis in a mouse model of arrhythmogenic cardiomyopathy, https://doi.org/10.1152/ajpheart.00416.202
  2. Desmoglein-2 deficiency drives mitochondrial morphological remodeling in cardiomyocytes, https://doi.org/10.1152/ajpheart.00368.2026
  3. PPARγ Antagonism: Expanding the Therapeutic Armamentarium in Arrhythmogenic Cardiomyopathy, https://www.ahajournals.org/doi/10.1161/CIRCGEN.126.005800
  4. A Paradigm Shift: Arrhythmogenic Cardiomyopathy Is an Inflammatory Disease, https://www.mdpi.com/2073-4409/15/10/868
  5. NETosis and Myeloperoxidase Promotes Inflammation and Cardiac Remodeling in Arrhythmogenic Cardiomyopathy, doi: https://doi.org/10.64898/2026.04.14.718596

 

 

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


View Scopus Profile View ORCID Profile View Google Scholar Profile

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


View Scopus Profile
 View Orcid Profile
 View Google Scholar Profile

Featured Publications

 

Alain Sarkissian | Numerical Analysis | Research Excellence Award

Published on by Math Scientist

Prof. Alain Sarkissian | Numerical Analysis | Research Excellence Award

Research Fellow | LATMOS / UVSQ / CNRS | France

Prof. Alain Sarkissian is a distinguished researcher in atmospheric physics, space science, and remote sensing. His work focuses on satellite-based and ground-based observations of Earth’s radiation budget, atmospheric composition, and cloud and water vapor characterization. He has made significant contributions to the calibration and validation of space instruments, particularly through CubeSat missions, lidar measurements, and climate data analysis, supporting accurate monitoring of climate variability and long-term environmental change.

Citation Metrics (Scopus)
1000

750

500

250

0

Citations
999

Documents
73

h-index
16


View Scopu Profile
 View Orcid Profile
 View Google Scholar Profile

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