Bibliometric Analysis of Math and Artificial Intelligence Research

Authors : Şeyma Bozkurt Uzan, Nesibe Manav Mutlu, İrem Deniz Arberk

Pages : 149-160

Doi:10.34248/bsengineering.1516593

View : 47 | Download : 72

Publication Date : 2025-01-15

Article Type : Research Paper

Abstract :This study conducts a comprehensive bibliometric analysis to explore the landscape of research in mathematics and artificial intelligence (AI). Using Scopus as the primary data source, we identify key publications and trends in these fields. Through VOSviewer, we visualize networks of keywords and collaborations among researchers and institutions. The analysis reveals the prominence of topics such as AI and mathematics in academic discourse, as well as the central role played by countries like the United States, the United Kingdom, and China in research collaboration. Limitations include potential biases in data sources and the reliance on keywords for analysis. Future research could integrate alternative metrics and qualitative analyses to provide a more nuanced understanding of research trends and impact.
Keywords : Bibliometric analysis, Mathematics, Artificial intelligence, Research trends, Collaboration