Mapping the Nexus: A Bibliometric Analysis of the Application of Artificial Intelligence (AI) in Polycrisis Research (2019 – 2026)
DOI:
https://doi.org/10.59413/ajocs/v7.i3.5Keywords:
Polycrisis, Artificial intelligence, Global challenges, Climate change, ResilienceAbstract
This study aims to map the intellectual landscape of artificial intelligence (AI) applications in polycrisis research between 2019 and 2026 with the help of bibliometric techniques. Despite the growing use of the term polycrisis both in scholarly and popular discourse, the research area is fragmented. Polycrisis has recently emerged as a tool to describe the human dilemma, but no systematic mapping of the role played by AI in the framework of polycrisis has been undertaken. This study adopts a bibliometric approach guided by PRISMA 2020, using Biblioshiny in RStudio to analyse data sourced from the Web of Science Core Collection, limited to English articles published between 2019 and April 2026. The findings indicate that there is a rising tendency in the number of publications, especially following the global crises, which suggests that scholars are becoming increasingly interested in applying AI to complex global issues. It can further be seen that the research environment is fragmented with publication outlets scattered, collaboration patterns uneven, and limited integration of thematic areas. The policymakers are encouraged to foster interdisciplinary cooperation, responsible AI frameworks, and strengthen research alliances on the international level. This paper offers an extensive and synthesised bibliometric mapping unveiling the structural fragmentation, emergent themes, and dynamic developments of AI applications in polycrisis research.
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