Krzysztof Dudek | Computer Science | Excellence in Research Award

Excellence in Research Award

Krzysztof Dudek — 4th Military Clinical Hospital in Wroclaw, Poland

Krzysztof Dudek
Affiliation 4th Military Clinical Hospital in Wroclaw
Country Poland
Scopus ID 6701839743
Documents 162
Citations 1,779
h-index 24
Subject Area Computer Science
Event International Research Excellence Awards – Book of Award
ORCID ID 0000-0002-9442-989X

Krzysztof Dudek is a researcher associated with the 4th Military Clinical Hospital in Wroclaw and with academic research activities connected to Wroclaw University of Science and Technology. Publicly indexed research records identify his ORCID as 0000-0002-9442-989X and document contributions across multidisciplinary scientific studies. His publication activity includes methodological, software, analytical and visualization responsibilities in collaborative research, illustrating the application of computational approaches within interdisciplinary scientific environments. [1]

Abstract

Krzysztof Dudek’s research record reflects multidisciplinary collaboration involving computational analysis, software-supported investigation, formal analysis and scientific visualization. Available scholarly records associate his work with clinical and biomedical research as well as engineering-oriented academic activity. These contributions demonstrate the role of computational methods in supporting evidence-based scientific investigation. [1]

Keywords

Computer Science; Computational Research; Scientific Software; Data Analysis; Research Methodology; Scientific Visualization; Interdisciplinary Research; Biomedical Informatics.

Introduction

Modern computer science increasingly intersects with medicine, engineering and quantitative research. Dudek’s documented participation in interdisciplinary studies provides an example of this convergence. In one study, he contributed methodology, software, formal analysis, resources, review and editing, and visualization, demonstrating how computational competencies can support clinical research workflows. [2]

Research Profile

Institutional bibliographic records identify Dudek through ORCID 0000-0002-9442-989X and report extensive scholarly activity, including works indexed in Scopus and Web of Science. His current institutional association is also reflected in recent publications from the Centre for Research and Innovation at the 4th Military Clinical Hospital in Wroclaw. [3]

Research Contributions

Application of software and computational methodology within multidisciplinary research. Formal analysis and visualization supporting interpretation of scientific datasets. Participation in collaborative biomedical and clinical investigations. Integration of quantitative and computational approaches across research disciplines.

Publications

Selected indexed work includes the 2024 study Pain and Coping Strategies as Determinants of Malnutrition Risk in Lung Cancer Patients: A Cross-Sectional Study, published in Nutrients, with Dudek contributing to methodology, software, formal analysis, resources, review and visualization. The article has DOI 10.3390/nu16142193. His authorship also appears in a 2025 study concerning neuropilin-1 expression in prostate cancer, DOI 10.3892/mco.2025.2887. [2] [4]

Research Impact

The supplied bibliometric profile records 162 documents, 1,779 citations and an h-index of 24. These indicators provide quantitative measures of publication and citation activity and can be considered alongside the quality, relevance and disciplinary context of individual publications. Institutional records likewise demonstrate a substantial body of indexed research. [1]

Award Suitability

The Excellence in Research Award recognizes a research profile characterized by sustained scholarly activity, measurable bibliometric visibility and interdisciplinary contribution. Based on the supplied profile and publicly documented research participation, Dudek presents relevant evidence for consideration within the International Research Excellence Awards – Book of Award. Final recognition should remain subject to the event’s independent evaluation and eligibility procedures. [2]

Conclusion

Krzysztof Dudek’s documented research activity illustrates the value of computational, analytical and methodological expertise in interdisciplinary scientific investigation. His publication record, bibliometric profile and participation in collaborative research provide a substantive basis for academic recognition in the context of the Excellence in Research Award. [3]

External Links

References

  1. Wrocław University of Science and Technology. Dorobek naukowy PWr: Dudek Krzysztof. ORCID 0000-0002-9442-989X; institutional bibliographic record.
    https://dona.pwr.edu.pl/szukaj/default.aspx?nrewid=269609
  2. Polański, J., Tański, W., Dudek, K., & Jankowska-Polańska, B. (2024). Pain and Coping Strategies as Determinants of Malnutrition Risk in Lung Cancer Patients: A Cross-Sectional Study. Nutrients, 16(14), 2193. DOI: 10.3390/nu16142193.
    https://doi.org/10.3390/nu16142193
  3. Fułek, K., Połtyn-Zaradna, K., Basiak-Rasała, A., et al. (2026). Cardiovascular and sociodemographic factors associated with self-reported hearing loss: a cross-sectional analysis from the Polish PURE cohort. Archives of Public Health, 84, 61. DOI: 10.1186/s13690-026-01854-x.
    https://doi.org/10.1186/s13690-026-01854-x
  4. Kowalczyk, K., Kaczorowski, M., Piotrowska, A., et al. (2025). Neuropilin-1 expression in primary and metastatic prostate cancer: Expression patterns and clinicopathological correlations. Molecular and Clinical Oncology, 23(4), Article 92. DOI: 10.3892/mco.2025.2887.
    https://doi.org/10.3892/mco.2025.2887

Wisam Samarah | Economics, Econometrics and Finance | Innovative Research Award

Innovative Research Award

Wisam Samarah — Samarah Institute for Economic Research, United States

Wisam Samarah
Affiliation Samarah Institute for Economic Research
Country United States
Scopus ID 57305966100
Documents 4
Citations 6
h-index 2
Subject Area Economics, Econometrics and Finance
Event International Research Excellence Awards – Book of Award
ORCID ID 0000-0003-1931-8038

Wisam Samarah is a researcher affiliated with the Samarah Institute for Economic Research in the United States. The available scholarly profile identifies research activity within Economics, Econometrics and Finance, with four indexed documents, six citations, and an h-index of 2. These indicators provide a concise bibliometric overview of the research record and form part of the academic context for consideration for the Innovative Research Award. [1]

Abstract

Wisam Samarah’s academic profile represents research activity in Economics, Econometrics and Finance. His indexed record comprises four documents and six citations, with a reported h-index of 2.  An ORCID identifier further provides a persistent mechanism for distinguishing his scholarly identity across research systems. The Innovative Research Award recognizes the profile in the context of academic research, innovation, and contribution to the broader field. [1] [2]

Keywords

Wisam Samarah, Economics, Econometrics, Finance, Research Innovation, Academic Research

Introduction

Research in economics, econometrics and finance encompasses the analysis of economic behavior, quantitative relationships, financial systems, and evidence-based policy questions. Within this interdisciplinary environment, researchers contribute through theoretical development, empirical investigation, methodological applications, and interpretation of economic data. Samarah’s documented research profile is situated within this broad academic domain. [1]

Research Profile

The available Scopus record lists Wisam Samarah under Author ID 57305966100 and reports four documents, six citations, and an h-index of 2. His ORCID record uses the identifier 0000-0003-1931-8038, supporting persistent researcher identification. [2] A Google Scholar profile is also associated with the researcher, providing an additional avenue for examining scholarly output and citation information. [3]

Research Contributions

The documented research record indicates an emerging scholarly contribution within Economics, Econometrics and Finance. Its evaluation can appropriately consider the relevance, originality, methodological quality, publication venues, and potential application of the underlying research. Bibliometric indicators such as documents and citations offer useful contextual measures but should be interpreted alongside the substantive quality and significance of individual research contributions. [1]

Publications

The supplied information identifies four documents in the Scopus record. No individual publication titles or DOI identifiers were provided in the source information for this article; therefore, specific DOI citations are not inferred or fabricated. Publication-level assessment should be conducted directly through the researcher’s indexed profiles. [1]

Research Impact

The reported six citations and h-index of 2 indicate measurable scholarly visibility within the available indexed record. Citation metrics should not be interpreted independently of publication quality, research context, field-specific citation practices, or the age of the publications. ORCID and Google Scholar records can provide complementary information when assessing the development and dissemination of the research portfolio. [2] [3]

Award Suitability

The Innovative Research Award is presented in connection with the International Research Excellence Awards – Book of Award.  Based on the supplied profile, Samarah’s academic specialization aligns directly with the Economics, Econometrics and Finance subject category. The combination of an indexed research record, citation activity, persistent researcher identification, and disciplinary relevance provides an appropriate academic basis for recognition, subject to the award’s formal evaluation criteria. [4]

Conclusion

Wisam Samarah is an economics-focused researcher affiliated with the Samarah Institute for Economic Research in the United States. His available scholarly indicators document four Scopus-indexed documents, six citations, and an h-index of 2. His research profile and disciplinary alignment provide the academic context for consideration for the Innovative Research Award. [1]

References

  1. Elsevier. (2026). Scopus author details: Wisam Samarah, Author ID 57305966100. Scopus.
    https://www.scopus.com/pages/authors/57305966100
  2. ORCID. (2026). ORCID record: Wisam Samarah, ORCID 0000-0003-1931-8038.
    https://orcid.org/0000-0003-1931-8038
  3. Google Scholar. (2026). Scholar profile associated with Wisam Samarah.
    https://scholar.google.com/citations?user=Y_7ZY9MAAAAJ&hl=en&oi=sra
  4. Book of Award. (2026). International Research Excellence Awards – Book of Award.
    https://bookofaward.com/

Hezam Gawbah | Computer Science | Innovative Research Award

Innovative Research Award

Hezam Gawbah — Ibb University, Yemen

Hezam Gawbah
Affiliation Ibb University
Country Yemen
Scopus ID 58070568000
Documents 5
Citations 15
h-index 2
Subject Area Computer Science
Event International Research Excellence Awards – Book of Award
ORCID ID 0000-0002-5775-364X

Hezam Gawbah is a researcher affiliated with Ibb University in Yemen whose scholarly profile is associated with the field of Computer Science. Available bibliographic information records five documents, 15 citations, and an h-index of 2 in the supplied Scopus profile data. [1] The profile is additionally associated with an ORCID identifier, providing a persistent researcher identifier for distinguishing scholarly contributions. [2]

Abstract

This article presents an academic recognition profile for Hezam Gawbah, an Ibb University researcher working within Computer Science. The profile summarizes the supplied bibliometric indicators and researcher identifiers and considers the relevance of the Innovative Research Award within the context of scholarly research and technological development. Computer Science encompasses areas such as algorithms, software systems, artificial intelligence, data processing, computing architectures, and emerging digital technologies. Contemporary research in these areas increasingly combines computational methods with interdisciplinary applications and measurable scholarly outputs. [3]

Keywords

Computer Science, Research Innovation, Academic Research, Ibb University, Bibliometric Impact, Digital Technologies

Introduction

Computer Science is a rapidly developing academic discipline that provides theoretical foundations and practical techniques for computation, information processing, intelligent systems, and software development. Advances in machine learning and related computational methods have expanded the role of computer-based approaches across scientific and technological research. [3]

Research Profile

The supplied Scopus information identifies Hezam Gawbah under Scopus Author ID 58070568000, with five indexed documents, 15 citations, and an h-index of 2. These indicators should be interpreted as bibliometric measures rather than as comprehensive measures of research quality. Citation counts and h-index values can vary according to database coverage, publication age, disciplinary citation practices, and indexing differences. The profile also provides an ORCID identifier, 0000-0002-5775-364X, which can help connect scholarly outputs to a persistent researcher identity. [2]

Research Contributions

At a broader disciplinary level, innovative Computer Science research can contribute to improved computational methods, intelligent software, data-driven decision-making, automation, cybersecurity, and emerging digital infrastructures. Research in artificial intelligence, for example, has demonstrated how computational learning methods can address complex problems across multiple scientific domains. [3]

Publications

The supplied Scopus record reports five documents associated with the researcher profile. Because complete bibliographic details and individual DOI records were not provided, specific publication titles are not reproduced here. Readers seeking the current indexed publication record should consult the linked Scopus and Google Scholar profiles. [1]

Research Impact

The supplied bibliometric data records 15 citations and an h-index of 2. These figures indicate that the indexed publications have received measurable scholarly attention. Bibliometric indicators are most appropriately considered alongside publication quality, originality, methodological contribution, collaboration, practical relevance, and influence within the research community. [1]

Award Suitability

The Innovative Research Award recognizes research activity within the broader context of scholarly innovation. Based on the supplied information, Hezam Gawbah has an identifiable Computer Science research profile, five indexed documents, 15 citations, and an h-index of 2. These characteristics provide a bibliographic basis for presenting the researcher for academic recognition, while the ultimate assessment of award suitability should consider the originality, significance, rigor, and documented contribution of the underlying research. [1]

Conclusion

Hezam Gawbah’s academic recognition profile connects Ibb University in Yemen with the field of Computer Science and records five documents, 15 citations, and an h-index of 2 in the supplied Scopus information. The availability of ORCID and Google Scholar profiles provides additional mechanisms for identifying and reviewing scholarly activity. [2] [4]

References

  1. Elsevier. (2026). Scopus author details: Hezam Gawbah, Author ID 58070568000. Scopus.
    https://www.scopus.com/pages/authors/58070568000
  2. ORCID. (2026). ORCID record: Hezam Gawbah, ORCID iD 0000-0002-5775-364X.
    https://orcid.org/0000-0002-5775-364X
  3. Explainable deep learning for multi-country energy forecasting and sustainability analysis using climate and socio-economic indicators.
    https://doi.org/10.1038/s41598-026-62451-0
  4. Google Scholar. (2026). Google Scholar profile associated with the supplied researcher record.
    https://scholar.google.co.uk/citations?user=3q9J9gMAAAAJ&hl=en&oi=sra
  5. Book of Award. (2026). International Research Excellence Awards – Book of Award.
    https://bookofaward.com/

Christophe Brunet | Agricultural and Biological Sciences | Innovative Research Award

Innovative Research Award

Christophe Brunet — Stazione Zoologica Anton Dohrn
Christophe Brunet
Affiliation Stazione Zoologica Anton Dohrn
Country Italy
Scopus ID 7102501740
Documents 110
Citations 5,812
h-index 46
Subject Area Agricultural and Biological Sciences
Event International Research Excellence Awards – Book of Award
ORCID ID 0000-0003-1435-358X

The Innovative Research Award recognizes the scholarly profile of Christophe Brunet, whose research activity is associated with the Stazione Zoologica Anton Dohrn in Italy and the broader field of Agricultural and Biological Sciences. His publication record, indexed research output, citation activity, and h-index indicate sustained engagement with scientific research and international scholarly communication. The profile is presented in relation to the International Research Excellence Awards – Book of Award as an academic recognition summary based on the supplied bibliometric and researcher identifiers. [1]

Abstract

Christophe Brunet is presented as a researcher affiliated with the Stazione Zoologica Anton Dohrn, Italy, with a bibliometric profile comprising 110 indexed documents, 5,812 citations, and an h-index of 46 according to the supplied Scopus-based data. His academic profile is situated within Agricultural and Biological Sciences, a multidisciplinary domain encompassing the study of living systems, ecosystems, biological processes, and their relationships with environmental and applied scientific questions. The Innovative Research Award profile highlights sustained research productivity and measurable scholarly visibility within this broad scientific area. [1] [2]

Keywords

Christophe Brunet; Innovative Research Award; Agricultural and Biological Sciences; biological research; marine science; scientific productivity; research impact; biodiversity; Stazione Zoologica Anton Dohrn; Italy.

Introduction

Agricultural and Biological Sciences bring together diverse approaches for understanding organisms, ecological systems, biological diversity, and interactions between living systems and their environments. Research in these areas contributes to fundamental knowledge while also informing conservation, sustainability, environmental management, and other applied scientific activities. The assessment of a researcher within such a broad field commonly considers scholarly output, research continuity, citation patterns, and identifiable contributions to the scientific literature. [2]

Research Profile

The supplied profile identifies Christophe Brunet with the Stazione Zoologica Anton Dohrn and provides a Scopus Author ID of 7102501740. The associated profile reports 110 documents, 5,812 citations, and an h-index of 46. These indicators suggest a substantial body of indexed scholarly work and a record of citation activity across the research literature. The presence of an ORCID identifier further supports researcher-level identification across academic information systems. [1] [2]

Research Contributions

Research contributions in Agricultural and Biological Sciences are frequently developed through the integration of biological observation, quantitative analysis, laboratory investigation, field-based study, and collaborative scientific methods. A sustained publication record can support the continued development of knowledge by making methods, observations, datasets, and interpretations available for scholarly examination and further research. [1]

Publications

The supplied bibliometric information records 110 documents associated with the Scopus author profile. The publication record represents research outputs indexed within a major abstract and citation database and provides a basis for examining scholarly continuity across time. Individual publications and their associated digital object identifiers can be consulted through the researcher’s indexed author records and linked scholarly databases. [1] [3]

Research Impact

The reported total of 5,812 citations and h-index of 46 provides a quantitative indication that the associated publications have received recognition and use within subsequent scholarly literature. Citation measures should be interpreted with appropriate disciplinary context because publication practices, database coverage, and citation behaviour vary between fields. Nevertheless, when considered alongside publication volume and persistent researcher identifiers, these metrics provide useful context for describing an established research profile. [1]

Award Suitability

Based on the supplied research profile, Christophe Brunet demonstrates characteristics relevant to consideration for the Innovative Research Award, including an established publication record, substantial citation activity, a reported h-index of 46, and identifiable research credentials through Scopus and ORCID. The profile is particularly relevant to academic recognition in Agricultural and Biological Sciences because it reflects sustained scholarly participation rather than a single isolated research output. Final award selection remains subject to the criteria, evaluation procedures, and decisions of the International Research Excellence Awards – Book of Award. [1] [4]

Conclusion

The academic profile of Christophe Brunet, affiliated with the Stazione Zoologica Anton Dohrn in Italy, is characterized by 110 reported documents, 5,812 citations, and an h-index of 46. Within the broad framework of Agricultural and Biological Sciences, these indicators describe sustained research activity and measurable scholarly visibility. The Innovative Research Award profile provides a structured academic recognition summary for the International Research Excellence Awards – Book of Award and emphasizes the importance of continued research contributions, transparent researcher identification, and scholarly engagement. [1] [2]

References

  1. Elsevier. (2026). Scopus author details: Christophe Brunet, Author ID 7102501740. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7102501740
  2. ORCID. (2026.). Christophe Brunet: ORCID record 0000-0003-1435-358X. ORCID.
    https://orcid.org/0000-0003-1435-358X
  3. Antioxidants. (2025). The Diatom Odontella aurita Modulates Melanogenesis in B16-F0 Cell Line.
    https://doi.org/10.3390/antiox14121402
  4. Book of Award. (2026). International Research Excellence Awards – Book of Award.
    https://bookofaward.com/

Abolfazl Mokhtari | Engineering | Innovative Research Award

Innovative Research Award

Abolfazl Mokhtari — Imam Ali University

Abolfazl Mokhtari
Affiliation Imam Ali University
Country Iran
Scopus ID 57191848336
Documents 14
Citations 99
h-index 6
Subject Area Engineering
Event International Research Excellence Awards – Book of Award
ORCID ID 0000-0002-4126-9183

Abolfazl Mokhtari is an engineering researcher affiliated with Imam Ali University, Iran. The available bibliographic information identifies a research record associated with Scopus Author ID 57191848336, comprising 14 documents, 99 citations, and an h-index of 6. [1]

Abstract

The Innovative Research Award profile recognizes the scholarly record of Abolfazl Mokhtari within the field of Engineering. Based on the supplied bibliographic data, his research record includes 14 indexed documents and 99 citations, with an h-index of 6 in the stated Scopus record. The profile is further associated with ORCID iD 0000-0002-4126-9183. [2]

Keywords

Engineering, Engineering Research, Research Innovation, Scholarly Impact, Research Evaluation, Academic Recognition

Introduction

Engineering research encompasses the development, analysis, optimization, and application of scientific and technological knowledge to address complex practical and theoretical problems. Within this broad field, researcher profiles provide a means of documenting scholarly outputs, affiliations, publication activity, and citation-based indicators.[1]

Research Profile

Mokhtari is identified as being affiliated with Imam Ali University in Iran, with Engineering specified as the relevant subject area. The supplied Scopus record lists 14 documents, 99 citations, and an h-index of 6. His ORCID record provides an additional persistent researcher identifier, supporting the disambiguation and organization of scholarly outputs across research information systems. [2]

Research Contributions

The documented research contribution of a scholar is best understood through the combination of publication outputs, research themes, collaboration, and subsequent scholarly use. In the present profile, the available information establishes a measurable publication and citation record in Engineering but does not provide sufficient verified detail to attribute specific technical findings, methodologies, or individual research breakthroughs without consulting the underlying publications. Accordingly, this profile limits its assessment to the documented bibliographic indicators.[3]

Publications

The supplied information confirms 14 documents in the Scopus author record. However, individual publication titles, journal details, publication years, and DOI identifiers were not supplied in the source data for this profile. Consequently, no specific publication or DOI is attributed here without independent bibliographic verification. The Scopus author profile should be consulted for the current indexed publication record.[1]

 

Research Impact

Citation indicators offer one quantitative perspective on scholarly visibility. The supplied Scopus data records 99 citations and an h-index of 6, indicating that the documented publication portfolio has received measurable scholarly attention. [1]

Award Suitability

The available academic record provides a documented basis for considering Abolfazl Mokhtari in the context of the Innovative Research Award associated with the International Research Excellence Awards – Book of Award. The Engineering subject classification, documented publication activity, citation count, and h-index establish relevant evidence of scholarly engagement. [4]

Conclusion

Abolfazl Mokhtari’s documented academic profile represents an Engineering research record affiliated with Imam Ali University, Iran. The supplied bibliometric information records 14 documents, 99 citations, and an h-index of 6, while the ORCID identifier provides an additional persistent scholarly identity reference. [2]

References

  1. Elsevier. (2026). Scopus author details: Abolfazl Mokhtari, Author ID 57191848336. Scopus.
    https://www.scopus.com/pages/authors/57191848336
  2. ORCID. (2026). ORCID record: Abolfazl Mokhtari, ORCID iD 0000-0002-4126-9183. ORCID.
    https://orcid.org/0000-0002-4126-9183
  3. Google Scholar. (2026). Google Scholar profile associated with Abolfazl Mokhtari.
    https://scholar.google.co.uk/citations?user=3-6GzZ0AAAAJ&hl=en&oi=sra
  4. Book of Award. (2026). International Research Excellence Awards – Book of Award.
    https://bookofaward.com/

Christos Lemonakis | Decision Sciences | Best Researcher Award

Best Researcher Award

Christos Lemonakis — Hellenic Mediterranean University, Greece

Christos Lemonakis
Affiliation Hellenic Mediterranean University
Country Greece
Scopus ID 55780698800
Documents 63
Citations 516
h-index 13
Subject Area Decision Sciences
Event International Research Excellence Awards – Book of Award
ORCID ID 0000-0002-9024-0969

Christos Lemonakis is an academic researcher affiliated with the Hellenic Mediterranean University in Greece whose published work spans business administration, management, financial analysis, operations research, sustainability, and related decision-oriented disciplines. Public scholarly records associate his research with topics including efficiency measurement, competitiveness, corporate governance, environmental, social and governance (ESG) analysis, banking, machine learning, and multiple-criteria decision-making. [1]

Abstract

The academic profile of Christos Lemonakis reflects research situated at the intersection of management, finance, operations research, analytics, and decision sciences. His scholarly record includes studies addressing organizational efficiency, financial performance, corporate governance, ESG factors, regional development, banking, and analytical approaches to managerial decision-making. [1] His publications also demonstrate engagement with quantitative and multicriteria approaches for evaluating complex economic and organizational problems. [2]

Keywords

Decision Sciences, Operations Research, Financial Analytics, Business Performance, Corporate Governance, ESG Analysis, Multiple-Criteria Decision Making

Introduction

Decision Sciences brings together analytical methods that support structured decision-making under complexity and uncertainty. Within this broad field, Lemonakis’s research record includes applications of quantitative analysis to banking, business efficiency, regional performance, corporate reporting, governance, and sustainability. RePEc records identify his affiliation with the Hellenic Mediterranean University and list journal articles, working papers, book chapters, and edited scholarly work. [1]

Research Profile

Lemonakis’s research profile is multidisciplinary. Earlier work includes banking efficiency, financial distress, competitiveness, enterprise resource planning, auditing, and narrative disclosure. Later research extends into ESG performance, urban hierarchy, regional analysis, sustainable development, and the use of analytical and computational methods in decision contexts. [1] His publication record also includes work explicitly connecting machine learning techniques with decision-making in credit-card portfolio analysis. [3]

Research Contributions

A notable characteristic of the research is the application of analytical frameworks to practical organizational and financial problems. Research involving multiple-criteria approaches has addressed business and regional performance, while other studies have investigated efficiency and risk-related questions in financial institutions. A separate stream examines ESG and corporate performance, reflecting the increasing importance of non-financial factors in contemporary strategic decision-making. [4]

Publications

Publicly indexed bibliographic records list a range of journal articles and book chapters by Lemonakis. Examples include research on regional performance using shift-share analysis and multicriteria decision-making, the impact of ECB non-regular operations on bank credit, urban hierarchy in Greece, and ESG-related financial analysis. [1]

Research Impact

The available bibliographic evidence indicates that Lemonakis’s work has contributed to discussions across operations research, business, finance, management, and sustainability. RePEc records identify publications in journals including Operational Research, The Annals of Regional Science, and Sustainability. [1]

Award Suitability

Based on the supplied bibliometric profile and publicly documented research record, Christos Lemonakis presents a research portfolio relevant to the Decision Sciences category. The combination of operations research, multicriteria analysis, financial analytics, machine learning, governance, and sustainability provides a multidisciplinary basis for consideration for a research recognition. [1]

Conclusion

Christos Lemonakis’s research profile reflects sustained engagement with analytical and managerial problems that are central to Decision Sciences. His work connects quantitative evaluation with practical questions involving efficiency, finance, governance, regional development, sustainability, and organizational performance. [1]

References

  1. RePEc. (2020). Christos Lemonakis — author profile and research output. Research Papers in Economics.
    https://ideas.repec.org/f/ple1055.html
  2. Lemonakis, C., et al. (2022). Enhancing Public Health and SDG 3 Through Sustainable Agriculture and Tourism.
    https://doi.org/10.3390/su17146253
  3. Sariannidis, N., Papadakis, S., Garefalakis, A., Lemonakis, C., & Tsioptsia, K.-A. (2020). Default avoidance on credit card portfolios using accounting, demographical and exploratory factors: decision making based on machine learning (ML) techniques. Annals of Operations Research, 294, 715–739.
    https://doi.org/10.1007/s10479-019-03188-0
  4. Makridou, G., Doumpos, M., & Lemonakis, C. (2024). Relationship between ESG and corporate financial performance in the energy sector: Empirical evidence from European companies. International Journal of Energy Sector Management.
    https://doi.org/10.1108/IJESM-01-2023-0012
  5. Lemonakis, C., Alexopoulos, G., Garefalakis, A., & Garefalakis, S. (2024). Trends and new elements in urban hierarchy research: the Greek paradigm. The Annals of Regional Science, 72(2), 335–354.
    https://doi.org/10.1007/s00168-022-01202-1
  6. Business Perspectives. (2017). The effect of Corporate Governance Information (CGI) on banks’ reporting performance. Investment Management and Financial Innovations, 14(2), 63–70.
    https://doi.org/10.21511/imfi.14(2).2017.06

George Atsalakis | Economics, Econometrics and Finance | Innovative Research Award

Innovative Research Award

George Atsalakis — Technical University of Crete, Greece

George Atsalakis
Affiliation Technical University of Crete
Country Greece
Scopus ID 24722624900
Documents 27
Citations 1,575
h-index 10
Subject Area Economics, Econometrics and Finance
Event International Research Excellence Awards – Book of Award
ORCID ID 0000-0002-2515-2823

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.

References

    1. Elsevier. (2026). Scopus author details: George Atsalakis, Author ID 24722624900. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=24722624900
    2. ORCID. (2026). George Atsalakis ORCID record.
      https://orcid.org/0000-0002-2515-2823
    3. Generative Artificial Intelligence and Managerial Accounting
      https://link.springer.com/article/10.1007/s10796-026-10763-x

Joseph Siegel | Social Sciences | Innovative Research Award

Innovative Research Award

Joseph Siegel — Stockholm University, Sweden

Joseph Siegel
Affiliation Stockholm University
Country Sweden
Scopus ID 41562072700
Documents 37
Citations 434
h-index 12
Subject Area Social Sciences
Event International Research Excellence Awards – Book of Award
ORCID ID 0000-0001-7420-3263

Joseph Siegel is an academic researcher affiliated with Stockholm University, Sweden, whose indexed scholarly record is represented within the Social Sciences. The available bibliometric profile records 37 documents, 434 citations, and an h-index of 12. These indicators provide a quantitative overview of scholarly activity and citation visibility within indexed research literature.[1]

Abstract

This academic recognition profile presents Joseph Siegel of Stockholm University as a researcher within the Social Sciences. His indexed record comprises 37 documents and 434 citations, with an h-index of 12. The profile is based on the supplied Scopus, ORCID, and Google Scholar identifiers and is intended to provide a structured overview of research activity and scholarly visibility.[1]

Keywords

Joseph Siegel, Stockholm University, Social Sciences, Research Impact, Academic Research

Introduction

Academic evaluation commonly considers publication productivity, citation performance, and sustained scholarly contribution. Bibliometric indicators such as documents, citations, and the h-index can complement qualitative assessment when interpreted within the context of a research field.[1] Joseph Siegel’s indexed profile provides a measurable basis for considering his research visibility in the Social Sciences.

Research Profile

The supplied academic record identifies Stockholm University as Siegel’s institutional affiliation and Sweden as his country of association. His Scopus Author ID is 41562072700. The profile records 37 documents, 434 citations, and an h-index of 12, while ORCID provides the persistent identifier 0000-0001-7420-3263.[1][2]

Research Contributions

The available information supports recognition of a sustained scholarly record rather than attribution of specific research findings not supplied in the source data. Within an academic assessment framework, the combination of indexed publications and citations indicates that the research output has achieved measurable visibility among scholarly literature. Detailed thematic contributions should be evaluated against individual publications and their respective research contexts.[4]

Publications

The supplied Scopus record indicates 37 indexed documents. Individual publication titles, journals, publication years, and DOI identifiers were not provided in the source information; therefore, no unsupported publication or DOI attribution is made here. The Scopus profile should be consulted for the authoritative publication-level record.[1]

Research Impact

With 1814 recorded citations and an h-index of 21, Siegel’s scholarly output demonstrates measurable citation impact within indexed literature. Such indicators are best considered alongside publication quality, originality, disciplinary relevance, collaboration, and the broader influence of individual research contributions.[3]

Award Suitability

The documented publication volume, citation count, and h-index provide objective indicators that may support consideration for the Innovative Research Award under the International Research Excellence Awards – Book of Award. Final award decisions should incorporate qualitative review of originality, methodological contribution, research relevance, and verified publication evidence.

Conclusion

Joseph Siegel’s supplied academic profile reflects an established research record associated with Stockholm University and the Social Sciences. The combination of 37 documents, 434 citations, and an h-index of 12 provides a concise quantitative basis for academic recognition, subject to appropriate field-specific and publication-level evaluation.[1]

References

    1. Elsevier. (2026). Scopus author details: Joseph Siegel, Author ID 41562072700. Scopus.
      https://www.scopus.com/pages/authors/41562072700
    2. ORCID. (2026). Joseph Siegel, ORCID 0000-0001-7420-3263.
      https://orcid.org/0000-0001-7420-3263
    3. Google Scholar. (2026). Joseph Siegel — Google Scholar profile.
      https://scholar.google.co.uk/citations?user=0URDS_wAAAAJ&hl=en&oi=sra
    4. Developing Disciplinary Literacy in an EMI Lecture: Real-time Monitoring of Student Comprehension Challenges in Philosophy of Science
      https://link.springer.com/article/10.1007/s42321-026-00232-8

Anne Kathrin Peters | Social Sciences | Innovative Research Award

Innovative Research Award

Anne-Kathrin Peters
Institution KTH Royal Institute of Technology
Country Sweden
Scopus ID 55537101900
Documents 43
Citations 620
h-index 15
Subject Area Social Sciences
Event International Research Excellence Awards – Book of Award
Google Scholar 195Mn-EAAAAJ&hl

Anne-Kathrin Peters is a researcher affiliated with KTH Royal Institute of Technology in Sweden, working within the broad field of Social Sciences. The researcher is associated with a Scopus author record containing 43 documents, 620 citations, and an h-index of 15 according to the supplied profile information. [1]

Abstract

Anne-Kathrin Peters is affiliated with KTH Royal Institute of Technology, Sweden, and is identified in the supplied academic profile as a Social Sciences researcher. The available bibliometric record reports 43 documents, 620 citations, and an h-index of 15. [1] These indicators suggest a sustained body of scholarly output with measurable citation visibility. The h-index is commonly used as one bibliometric measure combining publication productivity and citation influence, although it is not intended to represent the complete quality or significance of a researcher’s work. [2]

Keywords

Social Sciences, Innovative Research, Research Excellence, Scholarly Communication, Research Impact, Bibliometric Indicators, Academic Research, KTH Royal Institute of Technology

Introduction

The supplied bibliometric information for Anne-Kathrin Peters provides a measurable foundation for examining research activity. The recorded 43 documents and 620 citations indicate that the researcher’s publications have accumulated a notable level of scholarly attention within indexed literature. [1]

Research Profile

The Scopus record supplied for the researcher identifies 43 documents and 620 citations, producing an h-index of 15. [1] The h-index is designed to capture both publication productivity and citation accumulation, while its interpretation can vary considerably among disciplines. The available Google Scholar profile provides an additional route for examining the researcher’s scholarly presence and publication record. [3]

Research Contributions

The documented publication volume provides evidence of continued scholarly activity. With 43 indexed documents and 620 reported citations, the available record indicates that Peters has contributed research that has been incorporated into the citation network represented by Scopus. [1]

Publications

The supplied information confirms 43 Scopus-indexed documents associated with the researcher’s author record. [1] Because individual publication titles, journals, years, author lists, and DOI identifiers were not provided in the source data for this article, no specific publication-level claims are made here. Readers seeking the current indexed publication record should consult the researcher’s Scopus author profile and Google Scholar profile.

Research Impact

An h-index of 15 further indicates that at least 15 publications in the relevant indexed record have each received at least 15 citations under the database conditions used to calculate the metric. The measure was introduced as an attempt to characterize both productivity and citation impact, but it has recognized limitations, including sensitivity to career length, field differences, database coverage, and highly cited publications. [2]

Award Suitability

Based on the information supplied for this article, Anne-Kathrin Peters presents several characteristics relevant to consideration for an Innovative Research Award. The researcher has an established academic affiliation at KTH Royal Institute of Technology, a Scopus record containing 43 documents, 620 citations, and an h-index of 15. [1]

Conclusion

Anne-Kathrin Peters is presented as a Social Sciences researcher affiliated with KTH Royal Institute of Technology in Sweden. The supplied Scopus information records 43 documents, 620 citations, and an h-index of 15, providing measurable evidence of scholarly output and citation visibility. [1]

References

  1. Elsevier. (2026). Scopus author details: Anne-Kathrin Peters, Author ID 55537101900. Scopus.
    https://www.scopus.com/pages/authors/55537101900
  2. A Roadmap for Integrating Sustainability into Software Engineering Education.
    https://doi.org/10.1145/3708526
  3. Google Scholar. (2026). Anne-Kathrin Peters – Google Scholar author profile.
    https://scholar.google.co.uk/citations?user=195Mn-EAAAAJ&hl=en&oi=sra
  4. International Research Excellence Awards – Book of Award. (2026). Official award website.
    https://bookofaward.com/

Alexander Minkin | Computer Science | Innovative Research Award

Innovative Research Award

Alexander Minkin — Keldysh Institute of Applied Mathematics
Alexander Minkin
Affiliation Keldysh Institute of Applied Mathematics
Country Russia
Scopus ID 55828950500
Documents 19
Citations 153
h-index 5
Subject Area Computer Science
Event International Research Excellence Awards – Book of Award
ORCID 0000-0001-8789-0779

Alexander Minkin is a researcher affiliated with the Keldysh Institute of Applied Mathematics in Russia whose scholarly record is associated with computer science and computational research. The profile supplied for this recognition article records 19 documents, 153 citations, and an h-index of 5 in Scopus. [1] Publicly available researcher information also identifies Alexander S. Minkin with the Keldysh Institute of Applied Mathematics and describes research interests including machine learning, computer vision, decision trees, and feature selection. [2]

Abstract

This article presents a scholarly recognition profile of Alexander Minkin, a researcher associated with the Keldysh Institute of Applied Mathematics, Russia. According to the supplied Scopus profile information, his indexed research record comprises 19 documents, 153 citations, and an h-index of 5. [1] Public researcher information places his work within computer science and identifies areas including machine learning, computer vision, decision trees, and feature selection. [2]

Keywords

Alexander Minkin, Computer Science, Machine Learning, Computer Vision, Feature Selection, Decision Trees, Computational Research, Applied Mathematics, Keldysh Institute of Applied Mathematics, Research Impact, Scopus, Scholarly Communication.

Introduction

Research in computer science increasingly depends on methods capable of extracting meaningful information from large, complex, and heterogeneous datasets. Machine learning, computer vision, feature-selection techniques, and decision-tree methodologies are among the approaches used to develop computational models and support systematic decision-making. [2]

Research Profile

Alexander Minkin’s research profile is positioned at the intersection of computer science and computational methodology. Available researcher information identifies expertise in machine learning, computer vision, decision trees, and feature selection. [2]

Research Contributions

The available information supports several broad areas in which Minkin’s research profile can be considered. First, his association with machine learning reflects engagement with computational methods for learning patterns from data. Second, his identified expertise in feature selection relates to the methodological problem of determining which variables provide useful information for computational models. [2]

Publications

The supplied Scopus record reports 19 indexed documents associated with the researcher and 153 citations, with an h-index of 5. [1] These bibliometric indicators provide a quantitative description of the indexed scholarly record but should be interpreted in the context of disciplinary norms, publication chronology, collaboration patterns, and database coverage. [2]

Research Impact

The reported citation count of 153 and h-index of 5 indicate that the research record has received measurable scholarly attention within the indexed literature. Citation indicators are useful for describing research visibility, although they do not independently measure the quality, originality, societal value, or practical usefulness of individual contributions.[1]

Award Suitability

Based on the supplied bibliometric information and publicly identifiable research areas, Alexander Minkin’s profile is relevant to an award category emphasizing innovative research in computer science. The combination of documented scholarly output, citation activity, and an identified research focus on machine learning, computer vision, decision trees, and feature selection provides a reasonable academic basis for consideration. [1] [2]

Conclusion

Alexander Minkin’s research profile reflects a sustained engagement with computer science and computational methodologies, particularly machine learning, computer vision, decision trees, and feature selection. Publicly available information connects him with the Keldysh Institute of Applied Mathematics and identifies methodological work concerning the importance of highly correlated features. [2]

References

  1. Elsevier. (2026). Scopus author details: Alexander Minkin, Author ID 55828950500. Scopus.
    https://www.scopus.com/pages/authors/55828950500
  2. OpenReview. (2026). Alexander S. Minkin — Researcher, NLBDIS, Keldysh Institute of Applied Mathematics. Research profile and publicly listed research information.
    https://openreview.net/profile?id=~Alexander_S._Minkin1
  3. Restriction of macroscopic structural superlubricity due to structure relaxation by the example of twisted graphene bilayer
    https://doi.org/10.1103/physrevmaterials.9.024002
  4. ORCID. (2026). Alexander Minkin — ORCID record 0000-0001-8789-0779.
    https://orcid.org/0000-0001-8789-0779