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Bibliometric mapping of research on artificial intelligence applied to fintech and financial stability (2018–2024)

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  • Metwalli Olaya

  • Dib Salma

  • Massiki Ayoub

  • Achhibat Imane

  • Bennani Fatima Zahra

Abstract

This article presents a bibliometric analysis of academic research on the integration of artificial intelligence (AI) into fintech and its implications for financial stability. Based on a corpus of 145 publications indexed in Scopus between 2018 and 2024, the study highlights the rapid yet fragmented growth of the field. Results identify four main axes: AI and machine learning as technological drivers, fintech as a conceptual pivot, stability and risk management as central concerns, and inclusion and regulation as normative horizons. Co-authorship and co-citation networks reveal institutional and geographic dispersion, confirming that the domain remains in an early stage of development. The analysis underscores both the opportunities of AI-fintech—innovation, inclusion, and enhanced supervision—and the risks of instability and theoretical fragmentation. It concludes by suggesting directions for future research on generative AI, central bank digital currencies, and green fintech.

Suggested Citation

  • Metwalli Olaya & Dib Salma & Massiki Ayoub & Achhibat Imane & Bennani Fatima Zahra, 2025. "Bibliometric mapping of research on artificial intelligence applied to fintech and financial stability (2018–2024)," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(8), pages 296-312.
    • Handle: RePEc:aac:ijirss:v:8:y:2025:i:8:p:296-312:id:10590
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