Characterising Research Areas in the field of AI

• URL: http://arxiv.org/abs/2205.13471v1
• Date: Thu, 26 May 2022 16:30:30 GMT
• Title: Characterising Research Areas in the field of AI
• Authors: Alessandra Belfiore, Angelo Salatino, Francesco Osborne
• Abstract summary: We identified the main conceptual themes by performing clustering analysis on the co-occurrence network of topics. The results highlight the growing academic interest in research themes like deep learning, machine learning, and internet of things.
• Score: 68.8204255655161
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Interest in Artificial Intelligence (AI) continues to grow rapidly, hence it is crucial to support researchers and organisations in understanding where AI research is heading. In this study, we conducted a bibliometric analysis on 257K articles in AI, retrieved from OpenAlex. We identified the main conceptual themes by performing clustering analysis on the co-occurrence network of topics. Finally, we observed how such themes evolved over time. The results highlight the growing academic interest in research themes like deep learning, machine learning, and internet of things.

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