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Browse Programs Admission InformationThis research topic aims to systematically explore the evolution of scientific research in Artificial Intelligence (AI) through a comprehensive bibliometric analysis. The objective is to identify key scientific trends, emerging domains, the most influential authors, as well as the leading institutions and countries contributing to the AI research landscape.
The study relies on data extracted from major international scientific databases (such as Web of Science, Scopus, or Dimensions) and employs bibliometric tools like VOSviewer, Bibliometrix, or CiteSpace. These tools enable the mapping of collaboration networks, keyword co-occurrence analysis, temporal evolution tracking of publications, and visualization of the cognitive structure of the field.
Bibliometric Analysis of Research Trends in Artificial Intelligence: A Global Perspective and Regional Comparison."