Siberian Advances in Mathematics

257 papers and 925 indexed citations i.

About

The 257 papers published in Siberian Advances in Mathematics in the last decades have received a total of 925 indexed citations. Papers published in Siberian Advances in Mathematics usually cover Mathematical Physics (114 papers), Applied Mathematics (109 papers) and Computational Theory and Mathematics (73 papers) specifically the topics of Differential Equations and Boundary Problems (41 papers), Optimal Transport in Geometry and Analysis (38 papers) and advanced mathematical theories (30 papers). The most active scholars publishing in Siberian Advances in Mathematics are Marc Troyanov, В. В. Карачик, Yu. G. Nikonorov, Evgeny Sevost’yanov, V. A. Sharafutdinov, N. S. Dairbekov, V. N. Berestovskiĭ, A. A. Mogulskiĭ, Vladimir Vatutin and А. А. Боровков.

In The Last Decade

Fields of papers published in Siberian Advances in Mathematics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Siberian Advances in 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 Siberian Advances in Mathematics.

Countries where authors publish in Siberian Advances in Mathematics

Since Specialization
Citations

This map shows the geographic impact of research published in Siberian Advances in 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 Siberian Advances in Mathematics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siberian Advances in 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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2025