Priority Areas of Scientific Cooperation between Scientists of Russia, Iran, India, and Turkey: Bibliometric Analysis According to the InCites Database (2011–2021)
V. A. Markusova, A. N. Libkind, A. V. Zolotova, N. A. Kotelnikova
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引用次数: 0
Abstract
We conducted an investigation into the patterns of international collaboration among publications by Russian scholars, specifically articles and reviews, with their counterparts from Iran, India, and Turkey during the period spanning from 2011 to 2021. The selection of these countries was based on their growing role on the world science stage and increased partnership with Russia over the last ten years. The primary objectives of this study are to conduct a comprehensive analysis investigating the patterns of Russian collaborations with selected countries. This includes revealing the disciplinary priorities in their international collaborations, identifying the top organizations involved, and understanding the model of co-authorship. The findings indicate a growing partnership across various disciplines, with a particular focus on basic research in physics and clinical medicine. The top collaborating organizations in Russia, as well as in each of the studied countries (Iran, India, and Turkey), are either wholly or partially funded by their respective national governments. Furthermore, the values of bibliometric indicators for these collaborative publications indicate a high level of quality. Our findings could benefit decision-makers by providing evidence-based data and funding agencies.
期刊介绍:
Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.