ChatGPT and Artificial Intelligence a Bibliometric Analysis in Latin America

Abstract

The aim of this study was to perform a bibliometric analysis of ChatGPT and artificial intelligence in Latin America. Scientific productivity was quantified by analyzing bibliometric data. The 84 Scopus papers used for the study were chosen based on their relevance and keywords in English (ChatGPT, artificial intelligence). In 2023, the highest substantial growth in scientific production was achieved (n=68; 8%), with Brazil standing out as the most important country (n=41 publications, 47.7%). Important sources: Archives of Medical Research and Gaceta Medica de Mexico had three publications, while the most cited author, Kitamura, F.C., had 91 citations and two papers. Most of these papers were scientific articles (44%), of which 24% belonged to the field of social sciences and 21% to computer science. It is concluded that there is an increase in the topics covered, authors, sources and resources in general related to ChatGPT and artificial intelligence in Latin America, providing a more complete view of the region's scientific production in terms of its visibility, impact and importance. Therefore, this bibliometric study serves as a basis for future studies, providing evidence-based support that critically examines the research.

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