ARTIFICIAL INTELLIGENCE IN EMERGING FINANCE RESEARCH: A BIBLIOMETRIC ANALYSIS
DOI: https://doi.org/10.65725/JCISE/1/2/011
JOURNAL OF COMPUTATIONAL INTELLIGENCE SCIENCE AND ENGINEERING (JCISE)
ISSN: 3107-8168
Volume 1 Issue 2, October 2025

Abstract:

The rapid advancement of artificial intelligence (AI) has significantly transformed the landscape of emerging finance, influencing areas such as fintech, digital payments, algorithmic trading, and decentralized finance. Despite the growing body of literature, a systematic understanding of the intellectual structure and evolving trends in this domain remains limited. This study aims to provide a comprehensive bibliometric analysis of AI-driven research in emerging finance. A total of relevant publications indexed in the Scopus database were examined using advanced bibliometric tools, including VOSviewer and Biblioshiny, to analyse publication patterns, citation structures, collaboration networks, and thematic evolution.

This study contributes to the literature by offering a structured overview of the AI finance nexus and identifying key research frontiers. The insights are valuable for academics, practitioners, and policymakers seeking to understand the transformative role of AI in shaping the future of financial markets and institutions..

Authors: Pradinsha E T, Dr R. Reshmi

Keywords: Artificial Intelligence, Bibliometric Analysis, Science Mapping..