Bibliometric Analysis of Artificial Intelligence and International Trade

Artificial intelligence technologies include a set of methods that enhance the ability of computers to solve complex problems and mimic human-like decision-making processes. This study aims to conduct a bibliometric analysis on international trade and artificial intelligence to measure scientific productivity and effectiveness in this field, track the evolution of the research area, identify scientific communication networks, and identify gaps in the literature. For this purpose, the studies published in the Scopus database between 1984 and 2024 were analyzed and the data obtained were mapped with VOSviewer. A total of 486 studies with the concepts of artificial intelligence and international trade in their titles, abstracts or keywords were included in the study and subjected to bibliometric analysis. The results reveal that the number of studies in the related field has been increasing with an increasing momentum since 1984 in the international literature.