Nurhan Adil Öztürk | Thermodynamics | Innovative Research Award

Published on by Math Scientist

Innovative Research Award

Nurhan Adil Öztürk — iskenderun tecnical universty, Turkey

             Nurhan Adil Öztürk
Affiliation iskenderun tecnical universty
Country Turkey
Scopus ID 7005688800
Documents 11
Citations 324
h-index 8
Subject Area Thermodynamics
Event Math Scientist Awards
ORCID 0000-0002-9551-8122

This academic recognition profile presents the supplied bibliometric information for Nurhan Adil Öztürk, a researcher from Turkey whose identified subject area is thermodynamics. The supplied profile reports Scopus Author ID 7005688800, 324 citations, and an h-index of 8.[1]

Abstract

This article provides a scholarly recognition profile of Nurhan Adil Öztürk, a Turkish researcher associated with the field of thermodynamics. The supplied bibliometric information identifies Scopus Author ID 7005688800, with 324 reported citations and an h-index of 8.[1] Thermodynamics is a fundamental branch of physical science concerned with energy, heat, work, equilibrium, and the transformation of matter and energy. Its principles have broad applications across engineering, physics, chemistry, materials science, and energy research.[2]

Keywords

Thermodynamics, Thermodynamic Systems, Heat Transfer, Energy Conversion, Entropy, Enthalpy, Exergy, Statistical Thermodynamics, Chemical Thermodynamics, Engineering Thermodynamics, Energy Systems, Thermal Engineering, Heat Engines, Refrigeration, Thermodynamic Cycles, Phase Equilibrium, Fluid Thermodynamics, Renewable Energy, Energy Efficiency, Computational Thermodynamics, Mathematical Modelling, Applied Mathematics, Physical Chemistry, Materials Science, Energy Research, Innovative Research Award, Math Scientist Awards.

Introduction

Thermodynamics provides a theoretical framework for understanding energy transfer and transformation in physical systems. Its fundamental laws establish relationships among heat, work, internal energy, entropy, and other thermodynamic properties. These principles are applicable to both natural phenomena and engineered systems.[2]

Modern thermodynamic research extends from classical equilibrium analysis to statistical descriptions of matter, non-equilibrium processes, computational modelling, energy conversion, and advanced materials. Thermodynamic methods are also important in the design and analysis of engines, refrigeration systems, energy-storage technologies, and sustainable energy systems.[3]

Research Profile

The supplied information identifies the following principal elements of Nurhan Adil Öztürk’s academic profile:

The supplied bibliometric indicators provide quantitative information about the researcher’s indexed scholarly visibility. Citation counts and h-index values are dynamic measures and may change as databases add new publications, citations, corrections, and author-linkage information.[1]

Research Contributions

Thermodynamic research encompasses the analysis of energy and matter under defined physical conditions. Important research themes include equilibrium thermodynamics, energy conversion, entropy generation, exergy analysis, phase transitions, thermal systems, and thermodynamic optimization.[2]

In engineering and applied science, thermodynamic principles are frequently combined with numerical methods and mathematical modelling to investigate the performance of energy systems. Research may address efficiency, energy conservation, heat and mass transfer, thermal management, renewable-energy technologies, and advanced conversion systems.[3]

Publications

The supplied information identifies Nurhan Adil Öztürk through Scopus Author ID 7005688800. A complete verified bibliography would require access to the corresponding Scopus author record and individual publication records. Such records may contain publication titles, journal information, publication dates, co-authors, citation counts, and DOI identifiers.[1]

Research Impact

The supplied profile reports 324 citations and an h-index of 8. These indicators provide quantitative measures of citation activity associated with the researcher’s indexed scholarly record.[1]

Bibliometric indicators should be interpreted within the context of disciplinary practices, database coverage, publication age, and research specialization. Citation counts alone do not measure every dimension of research quality or influence and are most informative when considered alongside publication content, methodological rigor, originality, collaboration, and broader scholarly contributions.

Award Suitability

The Math Scientist Awards are the stated recognition context for this profile, with the Innovative Research Award identified as the article title. The supplied academic indicators identify a researcher working in thermodynamics with 324 reported citations and an h-index of 8. These data may constitute part of an academic recognition assessment, subject to the official eligibility criteria, nomination requirements, and independent verification procedures of the awarding organization.

Conclusion

Nurhan Adil Öztürk is presented in the supplied information as a Turkish researcher associated with thermodynamics. The reported Scopus profile identifies Author ID 7005688800, 324 citations, and an h-index of 8.[1] These measures provide a quantitative indication of indexed scholarly visibility. A comprehensive assessment of research achievement should additionally consider verified publications, originality, scientific significance, methodological quality, and contributions to the development or application of thermodynamic knowledge.

References

  1. Downstream particle image velocimetry measurements of a circular cylinder—plate junction, https://doi.org/10.1243/09544062JMES1446
  2. Bilinearization and Exact Soliton Dynamics of an Integrable Variable-Coefficient Korteweg–de Vries Model for Shallow-Water Waves and Its Boundary with Variable-Depth Shoaling, https://www.mdpi.com/2227-7390/14/16/2864
  3. Experimental study of butane adsorption on coconut based activated carbon for different gas concentrations, temperatures and relative humidities, https://doi.org/10.1080/09593330.2019.1692913
  4. Experimental investigation of thermal coefficient of the graphene used concrete, https://dergipark.org.tr/en/pub/iarej/article/415181
  5. PIV measurements of flow through normal triangular cylinder arrays in the passage of a model plate-tube heat exchanger, 10.1016/j.ijheatfluidflow.2016.06.013

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