Russian Mathematical Surveys

3.8k papers and 59.5k indexed citations i.

About

The 3.8k papers published in Russian Mathematical Surveys in the last decades have received a total of 59.5k indexed citations. Papers published in Russian Mathematical Surveys usually cover Mathematical Physics (1.4k papers), Geometry and Topology (1.1k papers) and Applied Mathematics (982 papers) specifically the topics of Advanced Topics in Algebra (398 papers), advanced mathematical theories (326 papers) and Differential Equations and Boundary Problems (319 papers). The most active scholars publishing in Russian Mathematical Surveys are Vladimir I. Arnold, Yakov G. Sinai, Ya. B. Pesin, Boris Dubrovin, Alexei Kitaev, S. P. Novikov, I. M. Krichever, А. В. Архангельский, I. M. Gel'fand and O A Oleĭnik.

In The Last Decade

Fields of papers published in Russian Mathematical Surveys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Russian Mathematical Surveys. 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 Mathematical Surveys.

Countries where authors publish in Russian Mathematical Surveys

Since Specialization
Citations

This map shows the geographic impact of research published in Russian Mathematical Surveys. 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 Mathematical Surveys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Russian Mathematical Surveys 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2025