Sbornik Mathematics

2.2k papers and 16.3k indexed citations i.

About

The 2.2k papers published in Sbornik Mathematics in the last decades have received a total of 16.3k indexed citations. Papers published in Sbornik Mathematics usually cover Applied Mathematics (1.1k papers), Mathematical Physics (946 papers) and Geometry and Topology (799 papers) specifically the topics of Differential Equations and Boundary Problems (359 papers), Advanced Mathematical Modeling in Engineering (312 papers) and Mathematical Dynamics and Fractals (192 papers). The most active scholars publishing in Sbornik Mathematics are V. V. Zhikov, Alexander Ivanovich Aptekarev, С. А. Назаров, Виктор Иванович Буслаев, Yu. L. Sachkov, Ivan Cheltsov, Игорь Германович Царьков, Sergey Pavlovich Suetin, Анатолий Константинович Гущин and Yury A. Neretin.

In The Last Decade

Fields of papers published in Sbornik Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Sbornik Mathematics. 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 Sbornik Mathematics.

Countries where authors publish in Sbornik Mathematics

Since Specialization
Citations

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