Pavol Švorc | Physiology | Most Reader’s Article Award

Published on by Best Paper Awards

Most Reader’s Article Award

PAVOL ŠVORC
Affiliation safarik university
Country Slovakia
Scopus ID 55583512900
Documents 40
Citations 292
h-index 8
Subject Area Physiology
Event International Research Excellence and Best Paper Awards

PAVOL ŠVORC

PAVOL ŠVORC of Department of Physiology, Medical Faculty, Safarik University, Kosice, Slovak Republic is recognized with the Most Reader’s Article Award for research excellence in the field of Physiology. The recognized research, titled “Measurement of blood pressure in rats: Invasive or noninvasive methods?”, examines approaches for measuring blood pressure in experimental rat models and addresses methodological considerations relevant to physiological research.

Abstract

This article recognizes PAVOL ŠVORC with the Most Reader’s Article Award for research excellence in Physiology. The recognized research, titled “Measurement of blood pressure in rats: Invasive or noninvasive methods?”, focuses on methods used to measure blood pressure in rats. The work considers invasive and noninvasive approaches and their relevance to physiological experimentation and experimental research methodology[1][2].

Keywords

Physiology, Blood Pressure Measurement, Rats, Invasive Methods, Noninvasive Methods, Experimental Physiology, Cardiovascular Research, Animal Models, Blood Pressure Monitoring, Physiological Measurement.

Introduction

The awarded research, “Measurement of blood pressure in rats: Invasive or noninvasive methods?”, addresses an important methodological topic in experimental physiology. Blood pressure measurement is an essential component of cardiovascular and physiological investigations involving animal models. The comparison of invasive and noninvasive approaches is relevant to the selection of appropriate measurement techniques in experimental studies[1].

Research Profile

PAVOL ŠVORC is affiliated with the Department of Physiology, Medical Faculty, Safarik University, Kosice, Slovak Republic and is associated with the subject area of Physiology. According to the provided academic information, the researcher has 40 documents, 292 citations, and an h-index of 8. The Scopus Author ID is 55583512900[1].

Research Contributions

The recognized publication contributes to Physiology through its focus on blood pressure measurement in rats. By addressing both invasive and noninvasive methods, the research highlights an important methodological consideration in experimental physiological studies and supports informed evaluation of techniques used for cardiovascular measurement in animal models[1].

Research Impact

The provided academic profile records 40 documents, 292 citations, and an h-index of 8 for PAVOL ŠVORC. These indicators represent a substantial body of indexed research and citation activity associated with the researcher’s academic profile[1].

Award Suitability

The Most Reader’s Article Award recognizes an article that demonstrates academic relevance, reader interest, scientific value, and meaningful contribution to its field. PAVOL ŠVORC’s recognized research aligns with these objectives through its examination of blood pressure measurement methods in rats and its relevance to experimental physiology[1] [2].

Conclusion

PAVOL ŠVORC has contributed to the field of Physiology through research addressing methodological questions in experimental physiological measurement. The recognized publication, “Measurement of blood pressure in rats: Invasive or noninvasive methods?”, focuses on the comparison of invasive and noninvasive approaches for blood pressure measurement in rats and represents a relevant contribution to experimental research methodology[1].

External Links

References

  1. Scopus Author Profile: PAVOL ŠVORC, Author ID 55583512900. Scopus.
    https://www.scopus.com/pages/authors/55583512900
  2. Best Paper Awards.
    https://bestpaperawards.com/

Natiq Akhmedov | Mathematics | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

NATIQ AKHMEDOV
Affiliation Azerbaijan State Economic University
Country Azerbaijan
Scopus ID 24392187600
Documents 29
Citations 139
h-index 7
Subject Area Mathematics
Event International Research Excellence and Best Paper Awards
ORCID 0000-0002-3071-2549

NATIQ AKHMEDOV

NATIQ AKHMEDOV of Azerbaijan State Economic University, Azerbaijan is recognized with the Best Paper Award for research excellence in the field of Mathematics. The recognized research, titled “Analysis of the three-dimensional elasticity theory problem for a radially inhomogeneous cylinder,” addresses a mathematical problem within three-dimensional elasticity theory involving a cylinder with radially varying material properties.

Abstract

This article recognizes NATIQ AKHMEDOV with the Best Paper Award for research excellence in Mathematics. The recognized research, titled “Analysis of the three-dimensional elasticity theory problem for a radially inhomogeneous cylinder,” focuses on the analysis of a three-dimensional elasticity theory problem associated with a cylinder whose material characteristics vary in the radial direction. The study represents a contribution to mathematical and theoretical approaches for understanding elasticity problems involving inhomogeneous cylindrical structures.

Keywords

Three-Dimensional Elasticity Theory, Mathematics, Radially Inhomogeneous Cylinder, Elasticity Problems, Mathematical Analysis, Inhomogeneous Materials, Cylindrical Structures, Continuum Mechanics, Elasticity Modeling, Mathematical Modeling.

Introduction

The awarded research, “Analysis of the three-dimensional elasticity theory problem for a radially inhomogeneous cylinder,” examines an important mathematical problem in the field of elasticity theory. Three-dimensional elasticity provides mathematical frameworks for describing the deformation and mechanical behavior of solid bodies, while radial inhomogeneity introduces additional complexity because material properties can change according to the radial coordinate

Research Profile

NATIQ AKHMEDOV is affiliated with Azerbaijan State Economic University, Azerbaijan and is associated with the subject area of Mathematics. According to the provided academic information, the researcher has 29 documents, 139 citations, and an h-index of 7. The Scopus Author ID is 24392187600, and the researcher’s ORCID identifier is 0000-0002-3071-2549.

Research Contributions

The recognized publication contributes to Mathematics through the analysis of a three-dimensional elasticity theory problem for a radially inhomogeneous cylinder. The research addresses the mathematical complexity associated with cylindrical bodies whose properties vary with radial position and contributes to the broader study of elasticity problems involving non-uniform material distributions.

Research Impact

The provided academic profile records 29 documents, 139 citations, and an h-index of 7 for NATIQ AKHMEDOV. These indicators reflect a sustained body of indexed research and citation activity within the researcher’s academic profile.

Award Suitability

The Best Paper Award recognizes research demonstrating academic quality, originality, scientific relevance, and meaningful contribution to its respective discipline. NATIQ AKHMEDOV’s recognized research aligns with these objectives through its analysis of a three-dimensional elasticity theory problem for a radially inhomogeneous cylinder within the field of Mathematics.

Conclusion

NATIQ AKHMEDOV has contributed to the field of Mathematics through research focused on three-dimensional elasticity theory and radially inhomogeneous cylindrical structures. The recognized publication, “Analysis of the three-dimensional elasticity theory problem for a radially inhomogeneous cylinder,” addresses a specialized mathematical problem involving spatially varying properties and provides a theoretical contribution to the analysis of elasticity in cylindrical systems.

External Links

References

  1. Scopus Author Profile: NATIQ AKHMEDOV, Author ID 24392187600. Scopus. https://www.scopus.com/pages/authors/24392187600
  2. ORCID Research Profile: NATIQ AKHMEDOV. ORCID. https://orcid.org/0000-0002-3071-2549
  3. Best Paper Awards. https://bestpaperawards.com/

RAJABABU CHINTAPARTY | Materials Science | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

RAJABABU CHINTAPARTY
Affiliation Annamacharya University, Rajampet
Country India
Scopus ID 56646050900
Documents 18
Citations 222
h-index 8
Subject Area Materials Science
Event International Research Excellence and Best Paper Awards
ORCID 0000-0003-0958-8296

RAJABABU CHINTAPARTY

RAJABABU CHINTAPARTY of Annamacharya University, Rajampet, India is recognized with the Best Paper Award for research excellence in the field of Materials Science. The recognized research, titled “Defect-mediated structure–property correlation and ultraviolet photoresponse of hydrothermally synthesized BaO2 nanoparticles,” focuses on the relationship between structural defects, material properties, and ultraviolet photoresponse in hydrothermally synthesized barium peroxide nanoparticles.

Abstract

This article recognizes RAJABABU CHINTAPARTY with the Best Paper Award for research excellence in Materials Science. The recognized research, titled “Defect-mediated structure–property correlation and ultraviolet photoresponse of hydrothermally synthesized BaO2 nanoparticles,” investigates the relationship between structural defects and the resulting physical and functional properties of BaO2 nanoparticles. The study highlights the importance of defect engineering and nanoscale material structure in understanding ultraviolet photoresponse, offering relevant insights for advanced functional nanomaterials and optoelectronic applications.

Keywords

BaO2 Nanoparticles, Barium Peroxide, Materials Science, Nanomaterials, Hydrothermal Synthesis, Defect Engineering, Structural Properties, Structure–Property Correlation, Ultraviolet Photoresponse, UV Photodetection, Nanostructured Materials, Optoelectronic Materials.

Introduction

The awarded research, “Defect-mediated structure–property correlation and ultraviolet photoresponse of hydrothermally synthesized BaO2 nanoparticles,” explores an important area of modern materials science involving nanoscale materials, structural defects, and photoresponsive behavior. Nanoparticles can exhibit properties that differ significantly from their bulk counterparts because of their small dimensions, surface characteristics, and defect structures.

Research Profile

RAJABABU CHINTAPARTY is affiliated with Annamacharya University, Rajampet, India and is associated with the subject area of Materials Science. According to the provided academic information, the researcher has 18 documents, 222 citations, and an h-index of 8. The Scopus Author ID is 56646050900, and the researcher’s ORCID identifier is 0000-0003-0958-8296.

Research Contributions

The recognized publication contributes to Materials Science by examining the connection between defects, structure, material properties, and ultraviolet photoresponse in BaO2 nanoparticles. The use of a hydrothermal synthesis strategy provides a pathway for producing nanostructured materials while enabling investigation of their structural and functional characteristics.

Research Impact

The provided academic profile records 18 documents, 222 citations, and an h-index of 8 for RAJABABU CHINTAPARTY. These indicators reflect an established body of indexed research and citation activity within the researcher’s academic profile.

Award Suitability

The Best Paper Award recognizes research demonstrating academic quality, originality, scientific relevance, and meaningful contribution to its respective discipline. RAJABABU CHINTAPARTY’s recognized research aligns with these objectives through its investigation of defect-mediated structure–property correlation and ultraviolet photoresponse in hydrothermally synthesized BaO2 nanoparticles.

Conclusion

RAJABABU CHINTAPARTY has made a notable contribution to the field of Materials Science through research focused on BaO2 nanoparticles and their defect-mediated structural and functional behavior. The recognized publication, “Defect-mediated structure–property correlation and ultraviolet photoresponse of hydrothermally synthesized BaO2 nanoparticles,” provides valuable scientific insight into the relationship between nanoscale structural characteristics and ultraviolet photoresponse.

External Links

References

  1. Scopus Author Profile: RAJABABU CHINTAPARTY, Author ID 56646050900.
    Scopus. https://www.scopus.com/pages/authors/56646050900
  2. ORCID Research Profile: RAJABABU CHINTAPARTY.
    ORCID. https://orcid.org/0000-0003-0958-8296
  3. Best Paper Awards.
    https://bestpaperawards.com/

Alireza Goli | Computer Science | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Alireza Goli
Affiliation University of Isfahan
Country Iran
Scopus ID 57090489100
Documents 111
Citations 4,382
h-index 39
Subject Area Computer Science
Event International Research Excellence and Best Paper Awards
ORCID 0000-0001-9535-9902

Alireza Goli

Alireza Goli of the University of Isfahan, Iran is recognized with the Best Paper Award for research excellence in the field of Computer Science. The recognized research, titled “Performance Evaluation of Emerging Meta-Heuristic Algorithms on Vehicle Routing Problem,” focuses on evaluating emerging meta-heuristic optimization algorithms for solving complex vehicle routing problems and advancing computational approaches to logistics and transportation optimization.

Abstract

This article recognizes Alireza Goli for the Best Paper Award in recognition of research excellence in computer science and optimization. The recognized paper, titled “Performance Evaluation of Emerging Meta-Heuristic Algorithms on Vehicle Routing Problem,” investigates the application and performance of emerging meta-heuristic algorithms for addressing the Vehicle Routing Problem (VRP). Vehicle routing is a major computational optimization challenge involving the design of efficient routes for transportation and distribution systems. The study contributes to the evaluation of advanced computational strategies for solving complex routing problems and supports the development of effective optimization methodologies.

Keywords

Vehicle Routing Problem, Meta-Heuristic Algorithms, Emerging Meta-Heuristics, Optimization Algorithms, Combinatorial Optimization, Transportation Optimization, Logistics Optimization, Route Optimization, Computational Intelligence, Operations Research, Artificial Intelligence, Optimization, Algorithm Performance Evaluation, Supply Chain Optimization, Computer Science.

Introduction

The Vehicle Routing Problem is a fundamental optimization problem in computer science, operations research, transportation, and logistics. It involves determining efficient routes for a fleet of vehicles while satisfying operational constraints and minimizing objectives such as travel distance, transportation cost, or route duration.

Research Profile

Alireza Goli is affiliated with the University of Isfahan, Iran, and is associated with the subject area of Computer Science. The provided academic information records 111 documents, 4,382 citations, and an h-index of 39. The researcher’s Scopus Author ID is 57090489100, while the ORCID identifier is 0000-0001-9535-9902.

Research Contributions

The recognized study contributes to the computational study of the Vehicle Routing Problem by focusing on the performance evaluation of emerging meta-heuristic algorithms. Such evaluation is important because different optimization algorithms can exhibit different behavior in terms of solution quality, computational efficiency, convergence, and robustness.

Research Impact

The provided academic profile records 111 documents, 4,382 citations, and an h-index of 39 for Alireza Goli. These supplied indicators provide a quantitative view of the researcher’s indexed scholarly output and citation activity.

Research on meta-heuristic algorithms for vehicle routing has broad relevance to logistics, transportation management, supply chain systems, fleet planning, distribution networks, and intelligent optimization. Efficient routing can support better utilization of transportation resources and improved decision-making in complex distribution environments.

Award Suitability

The Best Paper Award recognizes research demonstrating academic quality, originality, relevance, methodological value, and meaningful contribution to its respective discipline. Alireza Goli’s recognized research aligns with these objectives through its investigation of emerging meta-heuristic algorithms and their performance in solving the Vehicle Routing Problem.

Conclusion

Alireza Goli represents a significant research profile in the field of Computer Science, with scholarly activity relevant to optimization, computational intelligence, and intelligent transportation systems. The recognized paper, “Performance Evaluation of Emerging Meta-Heuristic Algorithms on Vehicle Routing Problem,” addresses the important computational challenge of vehicle routing through the evaluation of advanced meta-heuristic optimization approaches.

External Links

References

  1. Scopus Author Profile: Alireza Goli, Author ID 57090489100.
    Scopus. Scopus Author Profile
  2. ORCID Research Profile: Alireza Goli.
    ORCID. ORCID Research Profile
  3. Best Paper Awards.
    Best Paper Awards

Kangkan Choudhury | Mathematics | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Kangkan Choudhury
Affiliation University of Science and Technology Meghalaya
Country India
Scopus ID 57204730807
Documents 13
Citations 68
h-index 4
Subject Area Mathematics
Event International Research Excellence and Best Paper Awards
ORCID 0000-0003-2809-8428

Kangkan Choudhury

Kangkan Choudhury of the University of Science and Technology Meghalaya, India is recognized with the Best Paper Award for research excellence in the field of Mathematics. The recognized research, titled “MHD free convective heat and mass transfer flow passing through semi-infinite plate for Cu-water and TiO2-water nanofluids in presence of radiation embedded in porous medium,” investigates magnetohydrodynamic free-convective heat and mass transfer involving nanofluids, radiation effects, and porous media.

Abstract

This article recognizes Kangkan Choudhury for the Best Paper Award in recognition of research excellence in mathematics. The recognized paper, titled “MHD free convective heat and mass transfer flow passing through semi-infinite plate for Cu-water and TiO2-water nanofluids in presence of radiation embedded in porous medium,” focuses on mathematical modeling of magnetohydrodynamic free convection and heat and mass transfer in nanofluid flows. The study considers Cu-water and TiO2-water nanofluids, radiation effects, and porous-medium conditions, addressing important mathematical and transport-phenomena aspects of advanced fluid-flow systems.

Keywords

MHD Flow, Magnetohydrodynamics, Free Convection, Heat Transfer, Mass Transfer, Nanofluids, Cu-Water Nanofluid, TiO2-Water Nanofluid, Radiation, Porous Medium, Semi-Infinite Plate, Mathematical Modeling, Fluid Mechanics, Thermal Engineering, Mathematics.

Introduction

The recognized paper examines the mathematical behavior of magnetohydrodynamic free-convective heat and mass transfer through a semi-infinite plate under conditions involving nanofluids, radiation, and a porous medium. Magnetohydrodynamic flow combines fluid motion with magnetic-field effects, while nanofluids provide a framework for studying enhanced thermal transport through suspended nanoparticles.

Research Profile

Kangkan Choudhury is affiliated with the University of Science and Technology Meghalaya, India, and is associated with the subject area of Mathematics. The provided academic information records 13 documents, 68 citations, and an h-index of 4. The researcher’s Scopus Author ID is 57204730807, while the ORCID identifier is 0000-0003-2809-8428.

Research Contributions

The research contributes to the mathematical study of coupled heat and mass transfer phenomena by integrating several physical effects into a unified flow model. The consideration of magnetic-field effects, free convection, nanofluids, radiation, and porous-medium characteristics provides a multidimensional framework for analyzing complex transport behavior.

Research Impact

The provided academic profile records 13 documents, 68 citations, and an h-index of 4 for Kangkan Choudhury. These indicators provide a quantitative view of the researcher’s indexed scholarly output and citation activity.

The recognized research has relevance to mathematical modeling and applied transport phenomena. Its focus on nanofluid heat transfer, magnetohydrodynamics, radiation, and porous media connects mathematical analysis with areas of fluid mechanics, thermal systems, energy transport, and engineering applications.

Award Suitability

The Best Paper Award recognizes research demonstrating academic quality, originality, relevance, and meaningful contribution to its respective discipline. Kangkan Choudhury’s recognized research aligns with these objectives through its mathematical investigation of MHD free convection, heat and mass transfer, nanofluids, radiation, and porous-medium effects.

Conclusion

Kangkan Choudhury represents a research contribution in the field of Mathematics, particularly in mathematical modeling of fluid flow and coupled heat and mass transfer. The recognized paper, “MHD free convective heat and mass transfer flow passing through semi-infinite plate for Cu-water and TiO2-water nanofluids in presence of radiation embedded in porous medium,” brings together magnetohydrodynamic effects, nanofluid transport, radiation, and porous-medium characteristics within a mathematical framework.

External Links

References

  1. Scopus Author Profile: Kangkan Choudhury, Author ID 57204730807.
    Scopus.Scopus Author Profile
  2. ORCID Research Profile: Kangkan Choudhury.
    ORCID.ORCID Research Profile
  3. Best Paper Awards.
    Best Paper Awards

Mercy Mulwa | Computer Science | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Mercy Mulwa
Affiliation Jomo Kenyatta University of Agriculture and Technology (JKUAT)
Country Kenya
Scopus ID 58922109600
Documents 1
Citations 1
h-index 16
Subject Area Computer Science
Event International Research Excellence and Best Paper Awards

Mercy Mulwa

Mercy Mulwa of Jomo Kenyatta University of Agriculture and Technology (JKUAT), Kenya is recognized with the Best Paper Award for research excellence in the field of Computer Science. The recognized research, titled “GMM-LIME explainable machine learning model for interpreting sensor-based human gait,” focuses on explainable machine learning techniques for interpreting sensor-based human gait data and improving the transparency and understanding of machine learning models.

Abstract

This article recognizes Mercy Mulwa for research excellence in Computer Science and for the paper titled “GMM-LIME explainable machine learning model for interpreting sensor-based human gait.” The research focuses on the application of explainable machine learning to sensor-based human gait analysis. By combining a Gaussian Mixture Model (GMM) approach with Local Interpretable Model-agnostic Explanations (LIME), the work addresses the need for greater interpretability in machine learning systems that analyze human movement data. The research contributes to the growing field of explainable artificial intelligence, machine learning interpretation, sensor-based computing, and human gait analysis.

Keywords

Explainable Machine Learning, GMM-LIME, Gaussian Mixture Model, LIME, Human Gait Analysis, Sensor-Based Gait Recognition, Explainable Artificial Intelligence, Machine Learning Interpretability, Sensor Data, Computer Science.

Introduction

Machine learning has become increasingly important for analyzing complex sensor data and identifying meaningful patterns in human movement. Human gait analysis is an important area of research because gait characteristics can provide valuable information for applications involving movement recognition, activity analysis, intelligent sensing, and human-centered computing.

The awarded paper, “GMM-LIME explainable machine learning model for interpreting sensor-based human gait,” addresses the challenge of understanding how machine learning models interpret sensor-based gait information. The integration of explainability techniques provides a pathway toward making machine learning predictions more understandable to researchers, practitioners, and end users.

Research Profile

Mercy Mulwa is affiliated with Jomo Kenyatta University of Agriculture and Technology (JKUAT), Kenya, and works within the broad field of Computer Science. The provided academic information identifies the researcher with Scopus Author ID 58922109600. The supplied profile information records 1 document, 1 citation, and an h-index of 16.

Research Contributions

The research makes a contribution to explainable artificial intelligence and sensor-based machine learning by focusing on the interpretation of human gait data. The use of GMM-LIME provides an explainability-oriented framework for examining machine learning behavior and identifying patterns that may influence model outputs.

Research Impact

The research has relevance to several areas of modern computing, including explainable AI, machine learning, sensor analytics, gait recognition, human activity analysis, and intelligent systems. Explainable models can help researchers better understand complex relationships within sensor-generated data and support the development of more transparent computational systems.

Award Suitability

The Best Paper Award recognizes research that demonstrates academic relevance, methodological value, originality, and contribution to its field. Mercy Mulwa’s research aligns with these objectives through its focus on GMM-LIME explainable machine learning for interpreting sensor-based human gait.

Conclusion

Mercy Mulwa represents research excellence in the field of Computer Science through the recognized paper “GMM-LIME explainable machine learning model for interpreting sensor-based human gait.” The research addresses an important intersection between sensor-based computing, human gait analysis, machine learning, and explainable artificial intelligence.

External Links

References

  1. Scopus Author Profile: Mercy Mulwa, Author ID 58922109600.
    Scopus.https://www.scopus.com/pages/authors/58922109600
  2. Bet Paper Awards.
    https://bestpaperawards.com/

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DESMOND BAYONG | Business | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

DESMOND BAYONG
Affiliation University of Business and Integrated Development Studies
Country Ghana
Scopus ID 59674838400
Documents 10
Citations 54
h-index 4
Subject Area Business
Event International Research Excellence and Best Paper Awards
ORCID 0009-0001-1145-9162

DESMOND BAYONG

DESMOND BAYONG of the University of Business and Integrated Development Studies, Ghana is recognized with the Best Paper Award for research in the field of Business. The recognized paper, titled “CEO Power and Environmental Accounting Disclosure: Comparative Evidence From Emerging Economies,” examines the relationship between chief executive officer power and environmental accounting disclosure, with particular attention to comparative evidence from emerging economies.

Abstract

This article recognizes DESMOND BAYONG for the Best Paper Award in recognition of research in the field of Business. The recognized research, titled “CEO Power and Environmental Accounting Disclosure: Comparative Evidence From Emerging Economies,” focuses on the relationship between executive leadership characteristics and environmental accounting disclosure. The comparative emphasis on emerging economies provides a context for examining how corporate governance and executive power may relate to the communication of environmental information by organizations. The research is positioned within broader discussions of corporate governance, accounting disclosure, environmental reporting, and business sustainability.

Keywords

CEO Power, Environmental Accounting Disclosure, Environmental Reporting, Corporate Governance, Chief Executive Officer, Emerging Economies, Accounting, Business, Sustainability, Corporate Disclosure, Executive Leadership, Environmental Information.

Introduction

Environmental accounting disclosure has become an important area of research within accounting and business because organizations increasingly communicate information concerning environmental activities, responsibilities, and performance. The quality and extent of such disclosure may be influenced by organizational governance structures and the characteristics of senior corporate decision-makers.

The recognized paper, “CEO Power and Environmental Accounting Disclosure: Comparative Evidence From Emerging Economies,” addresses this research area by examining the relationship between CEO power and environmental accounting disclosure. Its comparative focus on emerging economies provides a context for considering how executive influence may be associated with corporate environmental reporting practices.

Research Profile

DESMOND BAYONG is affiliated with the University of Business and Integrated Development Studies, Ghana, and is associated with the subject area of Business. The supplied academic profile identifies a Scopus Author ID of 59674838400, with 10 documents, 54 citations, and an h-index of 4. The researcher’s ORCID identifier is 0009-0001-1145-9162. These profile details provide bibliographic context for the researcher’s academic record. [1] [2]

Research Contributions

The recognized research brings together two principal dimensions of business research: CEO power and environmental accounting disclosure. This combination provides a framework for considering whether characteristics associated with executive authority are relevant to corporate environmental reporting practices.

Publications

The paper identified for the Best Paper Award is:

  • Bayong, Desmond. CEO Power and Environmental Accounting Disclosure: Comparative Evidence From Emerging Economies.

The supplied information identifies this paper as the research associated with the recognition. No DOI was provided in the supplied information; therefore, no DOI identifier or DOI URL has been added to avoid introducing an unverified bibliographic identifier.

Research Impact

The supplied Scopus profile records 10 documents, 54 citations, and an h-index of 4 for DESMOND BAYONG. These bibliometric indicators provide quantitative information about the researcher’s indexed publication record and citation activity. [1]

Award Suitability

The Best Paper Award recognizes scholarly work selected for its relevance and contribution within its respective research area. DESMOND BAYONG’s recognized paper aligns with the business and accounting dimensions of the award through its examination of CEO power and environmental accounting disclosure in emerging economies.

Conclusion

DESMOND BAYONG is recognized with the Best Paper Award for research in the field of Business. The recognized paper, “CEO Power and Environmental Accounting Disclosure: Comparative Evidence From Emerging Economies,” examines an important relationship between corporate leadership and environmental accounting disclosure within emerging economies.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: DESMOND BAYONG, Author ID 59674838400. Scopus.
    https://www.scopus.com/pages/authors/59674838400
  2. ORCID. (n.d.). ORCID research profile: DESMOND BAYONG.
    https://orcid.org/0009-0001-1145-9162
  3. Best Paper Awards. Best Paper Awards official website.
    https://bestpaperawards.com/

Abdelkader Mohamed Sghaier Derbali | Economics | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Abdelkader Mohamed Sghaier Derbali
Affiliation Department of Administrative and Financial Sciences, Applied College, Taibah University
Country Saudi Arabia
Scopus ID 57886775600
Documents 86
Citations 866
h-index 15
Subject Area Economics
Event Best Paper Awards
Award Best Paper Award
ORCID 0000-0003-4098-3120

Abdelkader Mohamed Sghaier Derbali

Abdelkader Mohamed Sghaier Derbali of the Department of Administrative and Financial Sciences, Applied College, Taibah University, Saudi Arabia is recognized with the Best Paper Award for research excellence in the field of Economics. The awarded research, titled “Modeling the Nexus Between Climate Risk, Energy Consumption, and Financial Market Performance in Emerging Countries,” examines the interconnected relationships among climate risk, energy consumption, and financial market performance in emerging economies.

Abstract

This article recognizes Abdelkader Mohamed Sghaier Derbali for receiving the Best Paper Award in recognition of research excellence in economics. The awarded research, titled “Modeling the Nexus Between Climate Risk, Energy Consumption, and Financial Market Performance in Emerging Countries,” focuses on the interconnected dimensions of climate risk, energy consumption, and financial market performance. By examining these relationships in emerging countries, the research contributes to broader discussions concerning environmental risk, energy economics, financial markets, and sustainable economic development.

Keywords

Climate Risk, Energy Consumption, Financial Market Performance, Emerging Countries, Environmental Economics, Energy Economics, Financial Markets, Sustainable Development, Economic Risk, Economics.

Introduction

The awarded paper, “Modeling the Nexus Between Climate Risk, Energy Consumption, and Financial Market Performance in Emerging Countries,” addresses these interconnected issues by examining the relationship between climate risk, energy consumption, and financial market performance within emerging economies. The research provides an economic perspective on how environmental and energy-related factors can be considered alongside financial market dynamics.

Research Profile

Abdelkader Mohamed Sghaier Derbali is affiliated with the Department of Administrative and Financial Sciences, Applied College, Taibah University, Saudi Arabia. The researcher is associated with the subject area of Economics. The provided Scopus profile records 86 documents, 866 citations, and an h-index of 15. The Scopus Author ID is 57886775600, while the researcher’s ORCID identifier is 0000-0003-4098-3120.

Research Contributions

The awarded publication contributes to economics research by bringing together three important dimensions: climate risk, energy consumption, and financial market performance. Its focus on emerging countries provides a relevant economic context for studying the interaction between environmental challenges, energy use, and financial market conditions.

Research Impact

The provided academic profile records 86 documents, 866 citations, and an h-index of 15 for Abdelkader Mohamed Sghaier Derbali. These indicators demonstrate an established body of indexed research and citation impact within the researcher’s academic profile.

The awarded research addresses issues of broad relevance to emerging economies, particularly the relationship between climate-related risks, energy consumption, and financial markets. Its focus can contribute to academic discussions concerning sustainable economic development, environmental risk management, energy policy, and financial market resilience.

Award Suitability

The Best Paper Award recognizes research demonstrating academic quality, originality, relevance, and meaningful contribution to its respective field. Abdelkader Mohamed Sghaier Derbali’s awarded research aligns with these objectives through its examination of the relationship between climate risk, energy consumption, and financial market performance in emerging countries.

Conclusion

Abdelkader Mohamed Sghaier Derbali’s research represents a contribution to the field of Economics, particularly in the study of climate risk, energy consumption, and financial market performance. The awarded publication, “Modeling the Nexus Between Climate Risk, Energy Consumption, and Financial Market Performance in Emerging Countries,” provides a focused examination of these interconnected economic and environmental dimensions within emerging countries.

External Links

References

  1. Scopus Author Profile: Abdelkader Mohamed Sghaier Derbali, Author ID 57886775600.
    Scopus. https://www.scopus.com/pages/authors/57886775600
  2. ORCID Research Profile: Abdelkader Mohamed Sghaier Derbali.
    ORCID. https://orcid.org/0000-0003-4098-3120
  3. Best Paper Awards.
    https://bestpaperawards.com/