FinTech Research Mapping: A Citation-based Bibliometric Analysis

Authors

  • Rahul Kumar (1) PG Department of Commerce, Magadh University, Bodh-gaya, Gaya, Bihar, India Author https://orcid.org/0009-0001-1536-8081
  • Vladimir Simic (2) University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11010 Belgrade, Serbia (3) Department of Computer Science and Engineering, College of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea Author https://orcid.org/0000-0001-5709-3744

DOI:

https://doi.org/10.31181/sems31202544k

Keywords:

Bibliometric Analysis, Financial Technology, VOSviewer, Digital Innovation, Digital Financial Ecosystems, Management Science

Abstract

This study presents a comprehensive bibliometric analysis of financial technology (FinTech) research using data sourced from the Dimensions.ai database. A total of 188 documents are analyzed through VOSviewer 1.6.20 to visualize co-authorship, citation, and institutional collaboration networks. The results reveal that China leads in total publications, while the United States records the highest average citations per article. Influential authors, such as Özili, and top journals, like Borsa Istanbul Review, significantly shape research themes, including digital financial inclusion, green finance, and AI-integrated financial systems. Thematic clusters and country-level collaboration patterns highlight strong international engagement and untapped research potential in regions such as South Asia and Africa. The findings provide direction for future FinTech research focused on ethical, technological, and policy-driven dimensions to foster inclusive and sustainable digital financial ecosystems.

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Published

2025-05-11

How to Cite

Kumar, R., & Simic, V. (2025). FinTech Research Mapping: A Citation-based Bibliometric Analysis. Spectrum of Engineering and Management Sciences, 3(1), 175-186. https://doi.org/10.31181/sems31202544k