“Characterising Research Areas in the field of AI” is a research paper submitted to the special track “Statistical Methods for Science Mapping” on “51st Scientific Meeting of the Italian Statistical Society”.
Alessandra Belfiore1, Angelo Salatino2, Francesco Osborne2
1 Università della Campania Luigi Vanvitelli, Caserta (Italy)
2 Knowledge Media Institute, The Open University, Milton Keynes (UK)
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.
Download paper from arXiv: https://arxiv.org/abs/2205.13471