Analysis of the Russian Scientific Citation Index according to Math-Net.ru Data

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Published: 12.01.2024
UDC 519.178 UDC 004.9
DOI: https://doi.org/10.26907/1562-5419-2023-26-6-778–795
Issue
Vol. 26 No. 6 (2023): Special issue «Scientific Services & Internet». Part 1

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Znamenskaya Ekaterina Aleksandrovna
Steklov Mathematical Institute of RAS
https://orcid.org/0000-0003-3630-712X
Andrey Pechnikov
Institute of Applied Mathematical Research of the Karelian Research Centre of the Russian Academy of Sciences
https://orcid.org/0000-0002-0683-0019
Chebukov Dmitry Evgen'evich
Steklov Mathematical Institute of RAS
https://orcid.org/0000-0001-9738-8707

Abstract

Starting from spring 2022 a national system for evaluating the effectiveness of scientific research and development is being created using the database of leading Russian journals Russian Science Citation Index (RSCI). The article represents some results of the analysis of the RSCI normalized rating published in December 2022. Using the journal citation graph constructed from the data Math-Net.Ru on the example of thematic group OECD 101.Mathematics we show that in the case of a large number of self-citations of the journals, a relationship between the normalized rating and the number of references is found, and the relationship with self-citation is somewhat stronger than without self-citation. Analysis of the distribution of the journals by thematic groups shows that using a single attribute, such as the OECD, as a criterion does not allow forming a group as a community of journals with a single strongly connected component in the citation graph. We conclude that the research methods of journal citation graphs are a good basis for a comparative analysis of the characteristics of journals and their ranking, which means they can be used as tools for further development and improvement of journal ratings.

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References

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