Artificial Intelligence and Machine Learning in Financial Fraud Research: A Bibliometric Analysis of Trends and Collaborations
- Title
- Artificial Intelligence and Machine Learning in Financial Fraud Research: A Bibliometric Analysis of Trends and Collaborations
- Creator
- Mehndiratta, Vandana; Gupta, Varuna; Srivastava, Shilpa; Singh, Meenu
- Description
- This study conducts a bibliometric analysis of the financial fraud research domain, synthesizing publication metadata to uncover collaboration structures, thematic hotspots, and temporal trends. The research utilizes the bibliometric tool Vos viewer to retrieve the insights on the various aspects of financial fraud detection using the emerging technologies. The study analyses the integration of AI and machine learning techniques on the detection of financial fraud. Using co-authorship networks, we identify influential authors and collaboration clusters, while keyword frequency and co-occurrence patterns reveal core topics and emerging fronts such as anomaly detection, machine learning, insider trading, and regulatory analytics. Temporal profiling of publications highlights growth phases and shifts in emphasis across years and venues. The analysis provides an integrated view of the field's intellectual structure, enabling scholars and practitioners to locate key contributors, benchmark thematic coverage, and identify gaps for future inquiry. Results offer actionable insights for forming research collaborations, prioritizing topics, and designing evidence- based strategies against financial fraud. 2025 IEEE.
- Source
- 2025 International Conference on Emerging Technologies and Innovation for Sustainability, EmergIN 2025;pp.1100-1104
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- bibliometrics; co-authorship; co-occurrence; financial fraud; scient metrics; topic modelling
- Coverage
- Mehndiratta V., Christ University, School of Sciences, Bengaluru, India; Gupta V., Christ University, School of Sciences, Bengaluru, India; Srivastava S., Christ University, School of Sciences, Bengaluru, India; Singh M., VB-Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, Ostrava, Czech Republic
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833155603-7;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Mehndiratta, Vandana; Gupta, Varuna; Srivastava, Shilpa; Singh, Meenu, “Artificial Intelligence and Machine Learning in Financial Fraud Research: A Bibliometric Analysis of Trends and Collaborations,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25828.