Innovative Research Award
George Atsalakis — Technical University of Crete, Greece
George Atsalakis is an academic researcher affiliated with the Technical University of Crete whose scholarly profile is associated with economics, econometrics and finance. The available bibliometric information records 27 documents, 1,575 citations and an h-index of 10, providing a quantitative overview of his research output and scholarly visibility. [1]
Abstract
George Atsalakis is a researcher at the Technical University of Crete working within the broad fields of economics, econometrics and finance. His indexed scholarly record comprises 27 documents and 1,575 citations, with an h-index of 10 according to the supplied Scopus profile information. [1] These indicators provide a basis for recognizing sustained scholarly contribution and research visibility.
Keywords
Economics, Econometrics, Finance, Quantitative Analysis, Financial Research, Economic Modelling, Research Impact, Scholarly Communication, Bibliometrics, Innovative Research.
Introduction
Research in economics and finance increasingly depends on quantitative methods for examining complex economic relationships, uncertainty and financial behaviour. Within this environment, researchers contribute through empirical investigation, mathematical and statistical analysis, modelling and interpretation of economic evidence. Atsalakis’s academic profile falls within this interdisciplinary quantitative landscape. [1]
Research Profile
The supplied bibliometric record identifies the Technical University of Crete as Atsalakis’s institutional affiliation and Economics, Econometrics and Finance as the principal subject area. His Scopus author identifier is 24722624900. The profile records 26 documents, 1,574 citations and an h-index of 10. [1]
Research Contributions
The documented research profile indicates an established scholarly presence in quantitative economics and related financial research. Such work contributes to the broader academic understanding of economic and financial systems through analytical approaches and evidence-based investigation. The combination of indexed publications and citation activity provides measurable evidence of research dissemination. [3]
Publications
The supplied Scopus information identifies 27 indexed documents associated with the researcher. Individual publication titles, journal information and DOI identifiers should be verified against the current bibliographic record before being cited as specific works. [1] No individual DOI was supplied with the source data used for this article.
Research Impact
Citation counts and h-index values are commonly used as bibliometric indicators of scholarly visibility. Atsalakis’s reported 1,575 citations and h-index of 10 indicate that his indexed publications have received substantial academic attention within the available Scopus record. [1] Such indicators should be interpreted alongside publication quality, research relevance and disciplinary context.
Award Suitability
Based on the supplied academic information, Atsalakis presents a profile aligned with an Innovative Research Award consideration. The documented publication volume, citation record and h-index provide objective indicators for evaluating scholarly activity. Final award decisions should remain subject to the formal eligibility criteria and independent verification procedures of the International Research Excellence Awards – Book of Award.
Conclusion
George Atsalakis’s academic profile reflects research activity in Economics, Econometrics and Finance, supported by an indexed record of 27 documents, 1,575 citations and an h-index of 10. [1] These indicators provide a structured basis for academic recognition while allowing further assessment of individual publications and research contributions.
External Links
References
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- Elsevier. (2026). Scopus author details: George Atsalakis, Author ID 24722624900. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=24722624900
- ORCID. (2026). George Atsalakis ORCID record.
https://orcid.org/0000-0002-2515-2823
- Generative Artificial Intelligence and Managerial Accounting
https://link.springer.com/article/10.1007/s10796-026-10763-x