Tarek Sadraoui | Econometrics | Applied Research Award

Published on by Applied Scientist

Applied Research Award

Tarek Sadraoui
Imam Mohammed Ibn Saud Islamic University, Saudi Arabia
Tarek Sadraoui
Affiliation Imam Mohammed Ibn Saud Islamic University
Country Saudi Arabia
Scopus ID 26647747900
Documents 27
Citations 159
h-index 8
Subject Area Econometrics
Event Applied Scientist Awards
ORCID 0000-0003-0289-5488

Tarek Sadraoui is a researcher affiliated with Imam Mohammed Ibn Saud Islamic University, Saudi Arabia, whose academic work primarily focuses on econometrics, financial economics, and applied quantitative research. His publication record indexed in Scopus demonstrates sustained contributions to empirical investigations involving financial markets, macroeconomic dynamics, and econometric modeling. Through peer-reviewed publications and international scholarly collaborations, his research has contributed to evidence-based understanding of economic systems and statistical methodologies.[1] [2]

Abstract

The Applied Research Award recognizes researchers whose scholarly activities demonstrate measurable academic productivity, methodological rigor, and meaningful contributions to their respective disciplines. Tarek Sadraoui has established a research profile centered on econometrics and financial economics through peer-reviewed publications addressing financial integration, volatility analysis, macroeconomic relationships, and quantitative modeling. His publication metrics, citation record, and international visibility indicate continuing scholarly engagement and contributions to applied economic research.[1] [3]

Keywords

Econometrics, Financial Economics, Applied Research, Quantitative Analysis, Economic Modeling, Financial Markets, Time Series Analysis, Macroeconomics.

Introduction

Applied research in economics provides practical analytical tools for understanding market behavior, policy effectiveness, and financial stability. Modern econometric techniques enable researchers to evaluate complex economic relationships using statistical evidence, thereby supporting informed decision-making across academia, government, and industry. Researchers working in this field contribute to both theoretical refinement and practical policy discussions through empirical investigations based on robust quantitative methodologies.[4]

Research Profile

Tarek Sadraoui’s scholarly activities encompass econometric analysis, financial economics, international finance, and macroeconomic modeling. His research frequently investigates financial market efficiency, volatility transmission, economic integration, and the statistical relationships between macroeconomic indicators. His Scopus-indexed publication record reflects sustained academic activity and collaboration with researchers across multiple institutions.[1]

Research Contributions

  • Published peer-reviewed research in econometrics and applied financial economics.
  • Investigated financial integration, volatility spillovers, and macroeconomic relationships.
  • Applied advanced quantitative and econometric techniques to empirical datasets.
  • Contributed to interdisciplinary research involving economics, finance, and statistical analysis.
  • Supported evidence-based economic interpretation through internationally indexed publications.

Publications

Tarek Sadraoui’s publication portfolio consists of 27 Scopus-indexed documents with 159 citations and an h-index of 8. These publications address empirical financial economics, econometric methodologies, and applied quantitative research. Several articles are published in international journals indexed by major scholarly databases and include persistent Digital Object Identifier (DOI) references for long-term accessibility.[1] [5]

Research Impact

Citation metrics and publication visibility indicate that the research has contributed to scholarly discussions within econometrics and financial economics. The author’s work has been referenced by subsequent studies examining market dynamics, macroeconomic interactions, and quantitative financial analysis, demonstrating measurable academic influence through internationally recognized citation databases.[2]

Award Suitability

Tarek Sadraoui demonstrates characteristics consistent with consideration for the Applied Research Award. His research profile includes peer-reviewed publications, measurable citation performance, sustained activity within econometrics, and contributions to applied financial research. These objective indicators align with common evaluation criteria emphasizing research quality, scholarly productivity, and international academic visibility while maintaining a neutral assessment of academic achievement.[1]

Conclusion

Tarek Sadraoui has developed a research portfolio focused on econometrics and applied financial economics through internationally indexed scholarly publications. His measurable publication output, citation record, and continued engagement in quantitative economic research illustrate an active academic career dedicated to evidence-based investigation. These scholarly accomplishments provide an objective basis for recognition within the context of the Applied Scientist Awards and reflect ongoing contributions to applied economic research.

References

  1. Elsevier. (n.d.). Scopus Author Details: Tarek Sadraoui, Author ID 26647747900.
    https://www.scopus.com/authid/detail.uri?authorId=26647747900
  2. T Sadraoui, R Regaieg., et al. (2025). The dependence and risk spillover between energy market and BRICS stock markets: A copula-MGARCH model approach.
    https://journals.sagepub.com/doi/abs/10.1177/09721509211049123
  3. T Sadraoui, N Mgadmi., et al. (2023). The interconnectedness of stock indices and cryptocurrencies during the Russia-Ukraine war.
    https://www.sciencedirect.com/science/article/pii/S2949791423000398
  4. T Sadraoui, NB Zina. (2009). A dynamic panel data analysis for R&D cooperation and economic growth
    https://www.inderscienceonline.com/doi/abs/10.1504/IJFIP.2009.0264
  5. T Sadraoui, N Mchirgui. (2014). Supply chain management optimization within information system development.
    https://www.academia.edu/download/77160609/ijefm-2-2-2.pdf

Dimitris Kavroudakis | Time Series Analysis | Best Researcher Award

Published on by Applied Scientist

Best Researcher Award

Dimitris Kavroudakis
University of the Aegean, Greece

Dimitris Kavroudakis
Affiliation University of the Aegean
Country Greece
Scopus ID 54966735900
Documents 52
Citations 484
h-index 12
Subject Area Time Series Analysis
Event Applied Scientist
ORCID 0000-0001-5782-3049

Dimitris Kavroudakis, Associate Professor of Geographical Analysis at the University of the Aegean, is recognized through the Best Researcher Award for his scholarly achievements and sustained academic contributions. His research portfolio spans geographical analysis, spatial statistics, geocomputation, geographic information systems (GIS), spatial microsimulation, location-allocation modeling, environmental monitoring, and emerging computational methodologies. Through interdisciplinary investigations that combine geography, data science, remote sensing, and spatial decision-support systems, he has contributed to advancing analytical approaches for addressing complex geographical and societal challenges.[1]

Abstract

Dimitris Kavroudakis has developed an academic career focused on spatial analysis, geographical information systems, computational geography, spatial statistics, and geospatial decision-support methodologies. His research integrates quantitative techniques with practical applications in environmental monitoring, transportation systems, smart cities, cultural heritage management, biodiversity assessment, and public policy analysis. His scholarly output demonstrates continued engagement with interdisciplinary research, international collaboration, and the advancement of geospatial technologies for evidence-based decision making.[1][2]

Keywords

Time Series Analysis; Spatial Analysis; Geographic Information Systems; Geocomputation; Spatial Statistics; Remote Sensing; Geographical Analysis; Smart Cities; Environmental Monitoring; Spatial Decision Support Systems.

Introduction

Geographical Analysis at the University of the Aegean, Dimitris Kavroudakis has established a research agenda that bridges geography, computer science, and quantitative analytics. His academic training includes studies at the American College of Greece, the University of the Aegean, the University of Leeds, and the University of Sheffield, where he completed doctoral research in geography. His work encompasses location analysis, network analysis, GIS, artificial intelligence applications, agent-based modeling, and spatial decision support systems.[1]

Research Profile

Dimitris Kavroudakis reflects a multidisciplinary approach to geographical analysis and computational methods. His investigations have addressed spatial microsimulation, educational inequality, environmental sustainability, transportation accessibility, climate adaptation, cultural heritage preservation, smart sensing technologies, population modeling, and geospatial visualization. These activities have resulted in a substantial publication record and participation in numerous research initiatives across Europe.[1][3]

Research Contributions

Among his notable contributions are studies involving spatial microsimulation methodologies, machine-learning applications in remote sensing, population downscaling techniques, environmental monitoring systems, geospatial visualization frameworks, and smart-city sensor analytics. His work has supported practical applications in transportation planning, emergency evacuation modeling, biodiversity monitoring, agricultural management, and cultural heritage documentation.[2][4]

Publications

Dimitris Kavroudakis includes peer-reviewed journal articles, books, edited volumes, conference proceedings, and scholarly book chapters. Representative publications illustrate his continuing engagement with spatial analytics, environmental intelligence, and geographical modeling.[2]

  • Using Spatial Microsimulation to Model Social and Spatial Inequalities in Educational Attainment.
  • An R Package for the Construction of Microdata for Geographical Analysis.
  • Machine Learning Classification Ensemble of Multitemporal Sentinel-2 Images.
  • Spatial Analysis: Theory and Methods with R.
  • The Practice of Spatial Analysis.

Research Impact

With 52 indexed documents, 484 citations, and an h-index of 12, the scholarly record of Dimitris Kavroudakis demonstrates measurable academic influence across geography, spatial sciences, and computational analytics. His research has contributed to methodological innovation, interdisciplinary collaboration, and practical decision-support applications. Through participation in European research projects and international conferences, his work has facilitated knowledge exchange across academic and professional communities.[1][5]

Award Suitability

Dimitris Kavroudakis demonstrates attributes commonly associated with recognition through a Best Researcher Award. His career reflects sustained scholarly productivity, interdisciplinary research leadership, international collaboration, methodological innovation, and contributions to both theoretical and applied geographical sciences. The breadth of his publication record, engagement in funded research projects, supervision and teaching activities, and development of geospatial analytical tools collectively support his suitability for recognition within the Applied Scientist event framework.[1][3]

Conclusion

Dimitris Kavroudakis reflect a sustained commitment to advancing geographical analysis through innovative computational approaches and interdisciplinary research. His contributions to spatial modeling, GIScience, environmental analytics, and geospatial decision support have generated scholarly outputs with relevance across multiple scientific domains. These accomplishments support his recognition as a distinguished researcher whose work contributes to the continued development of contemporary geographical and spatial sciences.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Dimitris Kavroudakis, Author ID 54966735900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=54966735900
  2. Kavroudakis, D., Ballas, D., & Birkin, M. (2013). Using Spatial Microsimulation to Model Social and Spatial Inequalities in Educational Attainment.
    https://link.springer.com/article/10.1007/s12061-012-9075-2
  3. University of the Aegean. Academic Profile and Curriculum Vitae of Dimitris Kavroudakis.
    https://www.dimitrisk.gr/
  4. Kavroudakis, D. (2015). sms: An R Package for the Construction of Microdata for Geographical Analysis.
    https://doi.org/10.18637/jss.v068.i02
  5. Vasilakos, C., Tsekouras, G., & Kavroudakis, D. (2020). Machine Learning Classification Ensemble of Multitemporal Sentinel-2 Images.
    https://www.mdpi.com/2072-4292/12/12/2005