Russian Journal of Numerical Analysis and Mathematical Modelling

956 papers and 5.0k indexed citations i.

About

The 956 papers published in Russian Journal of Numerical Analysis and Mathematical Modelling in the last decades have received a total of 5.0k indexed citations. Papers published in Russian Journal of Numerical Analysis and Mathematical Modelling usually cover Computational Mechanics (243 papers), Numerical Analysis (230 papers) and Computational Theory and Mathematics (183 papers) specifically the topics of Differential Equations and Numerical Methods (161 papers), Advanced Numerical Methods in Computational Mathematics (118 papers) and Aquatic and Environmental Studies (110 papers). The most active scholars publishing in Russian Journal of Numerical Analysis and Mathematical Modelling are Yuri A. Kuznetsov, G. I. Shishkin, Б. Н. Четверушкин, М. С. Иванов, Ivan Oseledets, V. I. Agoshkov, V. B. Zalesny, V. P. Shutyaev, Ivan Sosnovik and Yuri Vassilevski.

In The Last Decade

Fields of papers published in Russian Journal of Numerical Analysis and Mathematical Modelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Russian Journal of Numerical Analysis and Mathematical Modelling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Russian Journal of Numerical Analysis and Mathematical Modelling.

Countries where authors publish in Russian Journal of Numerical Analysis and Mathematical Modelling

Since Specialization
Citations

This map shows the geographic impact of research published in Russian Journal of Numerical Analysis and Mathematical Modelling. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Russian Journal of Numerical Analysis and Mathematical Modelling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Russian Journal of Numerical Analysis and Mathematical Modelling more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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