2518-1092Research result. Information technologies2518-109210.18413/2518-1092-2022-8-3-0-63226ARTIFICIAL INTELLIGENCE AND DECISION MAKING<strong>INTELLECTUAL ANALYSIS OF SCIENTOMETRIC INDICATORS OF RUSSIAN COMPUTER SCIENCE JOURNALS</strong><strong>INTELLECTUAL ANALYSIS OF SCIENTOMETRIC INDICATORS OF RUSSIAN COMPUTER SCIENCE JOURNALS</strong>SokolovaElizaveta VitalievnaSokolovaElizaveta Vitalievnasokolova_ev@usue.ru20238300

The article discusses issues related to forecasting scientometric indicators and clustering Russian scientific journals in the field of computer science with the aim of evaluating the current state of science and the progress of research in the country, as well as the state of the competitive market for scientific publications. The study is based on the intelligent analysis of results using forecasting models such as ARIMA, ETS, and nnetar, developed in the RStudio environment. The research findings can be valuable for representatives of scientific journal publishers in the field of the State Classifier of Scientific and Technical Information (GRNTI) &quot;Informatics. Information Technologies&quot; when forming development and promotion strategies in a dynamically changing scientific world. The forecasted results indicate that most industry representatives will maintain their current indicators or change insignificantly, but there is potential for the emergence of new journals. It has also been revealed that journals not included in the Higher Attestation Commission (HAC) list often show slower growth, which is directly related to changes in the calculation of the Science Index indicator since the spring of 2023. However, inclusion is not a guarantee of growth at the moment. Significant growth is observed only in journals that are either classified as category 1 by the HAC or classified as category 2 by the HAC and are included in the Russian Science Citation Index (RSCI) Core simultaneously.

The article discusses issues related to forecasting scientometric indicators and clustering Russian scientific journals in the field of computer science with the aim of evaluating the current state of science and the progress of research in the country, as well as the state of the competitive market for scientific publications. The study is based on the intelligent analysis of results using forecasting models such as ARIMA, ETS, and nnetar, developed in the RStudio environment. The research findings can be valuable for representatives of scientific journal publishers in the field of the State Classifier of Scientific and Technical Information (GRNTI) &quot;Informatics. Information Technologies&quot; when forming development and promotion strategies in a dynamically changing scientific world. The forecasted results indicate that most industry representatives will maintain their current indicators or change insignificantly, but there is potential for the emergence of new journals. It has also been revealed that journals not included in the Higher Attestation Commission (HAC) list often show slower growth, which is directly related to changes in the calculation of the Science Index indicator since the spring of 2023. However, inclusion is not a guarantee of growth at the moment. Significant growth is observed only in journals that are either classified as category 1 by the HAC or classified as category 2 by the HAC and are included in the Russian Science Citation Index (RSCI) Core simultaneously.

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