Abstract

This article is dedicated to the scientometric analysis of the profile of Kyrgyz National University in the Scopus database using the Python programming language. The study covers various aspects of the university's academic performance, including publication activity, citation, and scientific visibility in the global academic community. Utilizing Python tools, the article provides a fresh perspective on the university's scientific achievements and offers in-depth analysis of data from the Scopus database, allowing for the identification of trends and key areas of the university's contribution to global science. This research can serve as a basis for making strategic decisions in the university's scientific policy and enhancing its academic reputation. The study also involves conducting statistical analysis using the Scopus database and generating graphs using the Python programming language. Python stands out as the most popular and sophisticated programming tool, ranking first among programming languages worldwide

Keywords

Global science, scientometrics, trend, scientific reputation, scientometric analysis, publication citation, comparative analysis, Scopus, Python, research profile

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