LA INTELIGENCIA ARTIFICIAL PARA LA PREDICCIÓN DE TENDENCIAS EN EL COMERCIO GLOBAL: UN ENFOQUE BIBLIOMÉTRICO Y ANALÍTICO
DOI:
https://doi.org/10.37135/kai.03.14.06Keywords:
bibliometric analysis, artificial intelligence, trade, economyAbstract
Studies on Artificial Intelligence (AI) in global trade highlight how advanced technologies contribute to the optimization of economic resources and the identification of patterns in markets. This article analyzes trends in academic publications, to provide insights into scientific productions. 384 papers published between 2018 and 2025 were analyzed using R Studio software and the Bibliometrix package, to identify collaborative networks, key authors, and predominant subject areas. The results show a growth of 876.92% in scientific production during the period analyzed, with topics related to prediction, global trade and intelligent systems predominating. In addition, China and Norway were identified as the leading countries in this area.
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