Characterising Research Areas in the field of AI
This study helps researchers and organizations understand trends in AI research, but it is incremental as it applies existing bibliometric methods to new data.
The authors conducted a bibliometric analysis of 257,000 AI articles to identify and track the evolution of main research themes, revealing growing interest in areas such as deep learning, machine learning, and the internet of things.
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.