Ankit Verma | Data Analysis Techniques | Young Researcher Award

Published on by Global Energy Awards

 

Young Researcher Award

Ankit Verma
Affiliation Junagadh Agricultural University
Country India
Google Scholar ID YMvgX5gAAAAJ&hl=en
Documents 8
Citations 3
h-index 1
Subject Area Data Analysis Techniques
Event Global Energy Awards
ORCID 0009-0004-2333-7041

Ankit Verma
Junagadh Agricultural University

Ankit Verma is an early-career researcher affiliated with Junagadh Agricultural University, India. His academic interests include Data Analysis Techniques, with contributions focused on quantitative research methodologies and analytical approaches relevant to scientific investigation. Based on publicly available scholarly records, his publication portfolio currently includes eight indexed research outputs with an emerging citation profile that reflects the initial stages of academic development.[1]

Abstract

This article summarises the academic profile of Ankit Verma in relation to his recognition for the Young Researcher Award. It provides an overview of his institutional affiliation, research interests, scholarly publications, citation indicators and relevance to the Global Energy Awards. The information is presented in a neutral encyclopedic style using publicly available scholarly resources.[1]

Keywords

Young Researcher Award, Data Analysis Techniques, Agricultural Research, Quantitative Analysis, Statistical Modelling, Scientific Research, Academic Publications, Research Metrics, Citation Analysis, Global Energy Awards.

Introduction

The Young Researcher Award recognises promising researchers who demonstrate commitment to scientific inquiry during the early stages of their careers. Academic evaluation commonly considers publication quality, citation performance, originality of research and potential future contributions to the scientific community. Such recognition supports emerging scholars by highlighting research excellence and encouraging continued innovation.[2]

Research Profile

Ankit Verma is affiliated with Junagadh Agricultural University in India. His research activities focus on Data Analysis Techniques and their application within scientific investigations. According to publicly available academic records, his scholarly profile includes eight publications, three citations and an h-index of one, reflecting an emerging research trajectory.[1]

Research Contributions

Research in data analysis methodologies applicable to scientific investigations, Contribution to quantitative analytical approaches for research evaluation, Participation in peer-reviewed scholarly publications, Development of analytical skills supporting evidence-based scientific research.

Publications

The available scholarly profile indicates eight published research documents indexed through Google Scholar. These publications collectively contribute to the author’s developing academic portfolio and establish a foundation for future research productivity.[1]

Research Impact

Bibliometric indicators provide a quantitative overview of scholarly influence. Current publicly available metrics indicate three citations and an h-index of one. Although these values represent an early stage of academic development, they establish measurable evidence of scholarly engagement and provide a basis for future growth.[1]

Award Suitability

Recognition through the Global Energy Awards Young Researcher Award is intended to acknowledge researchers demonstrating academic promise, research commitment and continued professional development. Based on the available publication record and documented research activity, Ankit Verma represents an emerging researcher whose scholarly profile aligns with the objectives of recognising developing scientific talent.[3]

Conclusion

Ankit Verma’s academic profile demonstrates continued engagement in scientific research within the field of Data Analysis Techniques. His publication record, institutional affiliation and measurable scholarly indicators provide an overview of an emerging researcher whose work contributes to ongoing academic development. Continued research activity is expected to strengthen both publication output and research impact over time.[1]

References

  1. Google Scholar. (2026). Author Profile: Ankit Verma.
    https://scholar.google.com/citations?user=YMvgX5gAAAAJ&hl=en
  2. Global Energy Awards. (2026). Award Categories and Recognition Programme.
    https://globalenergyawards.org/
  3. Ravi Prakash Jaiswal (2026). Biochemistry Research International DOI:
    https://scholar.google.com/citations?view_op=view_citation&hl=en&user=YMvgX5gAAAAJ&citation_for_view=YMvgX5gAAAAJ:hMsQuOkrut0C

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Spiru Paraschiv | Data Analysis Techniques | Innovative Research Award

Published on by Global Energy Awards

Innovative Research Award

Spiru Paraschiv
“Dunarea de Jos” University of Galati
Spiru Paraschiv
Affiliation “Dunarea de Jos” University of Galati
Country Romania
Scopus ID 54783368700
Documents 35
Citations 1,418
h-index 20
Subject Area Data Analysis Techniques
Event Global Energy Awards
ORCID 0000-0001-8104-4061

The Innovative Research Award recognizes distinguished scholarly contributions demonstrating originality, methodological rigor, and sustained academic influence within contemporary scientific research. This article presents an academic overview of Spiru Paraschiv, whose research activity at the “Dunarea de Jos” University of Galati has contributed substantially to the advancement of data analysis techniques and interdisciplinary scientific applications. His scholarly profile reflects measurable research productivity, citation impact, and continued relevance within international academic literature.[1]

Abstract

This article examines the academic achievements and research significance of Spiru Paraschiv in the context of the Innovative Research Award. His scientific output demonstrates active engagement in data analysis methodologies, computational interpretation, and applied research relevant to interdisciplinary scientific development. Citation indicators and publication performance support recognition within the international research community.[2]

Keywords

Data Analysis Techniques; Scientific Research; Innovation Assessment; Citation Impact; Academic Recognition; Computational Methodology; Research Evaluation; Scholarly Publications.

Introduction

Academic innovation awards are frequently associated with measurable scholarly excellence, methodological advancement, and interdisciplinary influence. Spiru Paraschiv’s research profile reflects these characteristics through sustained publication activity and notable citation performance. His work contributes to evolving approaches in data-driven scientific interpretation and analytical research frameworks.[3]

Research Profile

Spiru Paraschiv is affiliated with the “Dunarea de Jos” University of Galati in Romania. His scholarly profile indexed in Scopus records 35 academic documents, 1,418 citations, and an h-index of 20. These metrics indicate consistent publication productivity and strong academic engagement across research networks and citation databases.[1]

Research Contributions

Research in Data Analysis Techniques focuses on developing analytical approaches for effective data interpretation and computational evaluation across scientific disciplines. It includes the application of data analysis methods to interdisciplinary studies, enabling accurate insights through quantitative and evidence-based investigation.

Publications

The researcher’s publication portfolio includes peer-reviewed journal articles indexed within major international academic databases. Several studies demonstrate measurable citation influence and continued relevance in scientific discussions involving analytical methods, quantitative evaluation, and computational modeling.[4]

Research Impact

Research impact is reflected through both bibliometric indicators and academic relevance. With 1,418 citations and an h-index of 20, Spiru Paraschiv demonstrates established scholarly influence within indexed literature. These indicators suggest broad engagement by the scientific community and sustained recognition across academic publications.[1]

Award Suitability

Based on publication output, citation metrics, and research relevance in data analysis techniques, Spiru Paraschiv demonstrates a strong academic profile aligned with the principles of the Global Energy Awards Innovative Research Award category. His contributions reflect scholarly originality, measurable impact, and sustained research engagement consistent with academic recognition criteria.[5]

Conclusion

Spiru Paraschiv’s academic record represents a sustained contribution to scientific research in data analysis techniques. His publication history, citation performance, and international research visibility collectively support recognition under the Innovative Research Award. The scholarly evidence presented aligns with accepted indicators of academic distinction and research excellence.[1]

References

    1. Elsevier. (n.d.). Scopus author details: Spiru Paraschiv, Author ID 54783368700. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=54783368700
    2. ORCID. (n.d.). Research profile of Spiru Paraschiv.
      https://orcid.org/0000-0001-8104-4061
    3. Scientific Reports. (2024). Wind energy resource assessment and wind turbine selection analysis for sustainable energy production. https://doi.org/10.1038/s41598-024-61350-6
    4. Management of Environmental Quality: An International Journal
      https://doi.org/10.1016/j.energy.2020.117347
    5. Global Energy Awards. (n.d.). Award recognition and evaluation criteria.
      https://globalenergyawards.org/

 

Assist. Prof. Dr. I-Ming Jiang | Dynamic Stochastic Processes | Best Researcher Award

Published on by Global Energy Awards

Assist. Prof. Dr. I-Ming Jiang | Dynamic Stochastic Processes | Best Researcher Award

Yuan Ze University | Taiwan

Dr. I-Ming Jiang is an Assistant Professor in the College of Management at Yuan Ze University, specializing in financial engineering, risk management, big-data statistical applications, real options, and empirical financial studies. His work also covers asset pricing in incomplete markets and the use of artificial intelligence in trading systems and technical analysis. He teaches courses such as calculus, financial innovation, risk management, quantitative and computing methods, and money and banking. He has held multiple academic appointments in finance and has published 29 research works. His current research focuses on computational methods and dynamic stochastic processes.

Featured Publications

Huishui Su, Jiang, I.-M., & Liu, D. (2025). Detecting financial fraud risk using machine learning: Evidence based on different categories and matching samples. Finance Research Letters, 85(Part A), 107858.

Liu, Y.-H., Jiang, I.-M., & Hung, M.-W. (2025). Pricing vulnerable options when debts have performance-sensitivity provisions. International Review of Economics and Finance.

Ms. Fen Tan | Empirical Analysis of the Trade Efficiency | Best Researcher Award

Published on by Global Energy Awards

Ms. Fen Tan | Empirical Analysis of the Trade Efficiency | Best Researcher Award

Dongguan City University | China

Dr. Fen Tan is a highly accomplished academic and researcher with over a decade of experience in teaching and research at Dongguan City College. Her expertise spans international trade, industrial economics, and digital trade, with a strong focus on empirical analysis of trade efficiency and cross-border e-commerce development. Dr. Tan has successfully led and completed multiple provincial and institutional research projects, including prestigious funded studies under the Guangdong Philosophy and Social Sciences Planning Program and the Guangdong Higher Education Association. Her research has made significant contributions to understanding the impact of RCEP implementation, trade efficiency in electromechanical products, and talent cultivation in digital trade, reflecting a deep commitment to advancing international economic integration and innovation-driven education. With over 16 influential publications, including core journal papers, CPCI-indexed conference papers, and authored textbooks, Dr. Tan has demonstrated excellence in both scholarly output and practical application. Her consistent engagement in forward-looking topics such as cross-border e-commerce, digital trade reform, and institutional innovation positions her as a leading contributor to modern trade studies. Given her impactful research, academic leadership, and contributions to interdisciplinary advancement, Dr. Fen Tan is highly suitable for the Best Researcher Award.

Profile:  Scopus 

Featured Publications

Cong Pang, Fen Tan, Xiaojian Lu, Cheng-Fu Yang (2025). Impact of Brand Image and Perceived Value on Consumer Purchasing Behavior in the Era of Internet of Things: A Study of Cross-border E-commerce in the Thailand Market. Sensors and Materials, Vol. 37, No. 8 (2025) 3595–3608