Abstract

The aim of this study is to gain insight into the differences in AI-related research conducted in different countries. To this end, we extracted information on articles from a bibliographic database and conducted a comparative analysis of authors' research activities. The Web of Science Core Collection (WoS) was used as the bibliographic database, and the AI-related papers of 320,063 authors from 2014 to 2023 were analyzed. In this analysis, the 250 fields of the WoS about journals are considered, and the fields of expertise of the authors are calculated. Our studies use Non-Negative Matrix Factorization (NMF), mainly because of the ease of interpretation of the resulting data, which allows us to identify the relative importance and prevailing trends in the research conducted by each country in this field.