Moscow Mathematical Journal

709 papers and 8.2k indexed citations i.

About

The 709 papers published in Moscow Mathematical Journal in the last decades have received a total of 8.2k indexed citations. Papers published in Moscow Mathematical Journal usually cover Geometry and Topology (437 papers), Mathematical Physics (353 papers) and Algebra and Number Theory (171 papers) specifically the topics of Algebraic Geometry and Number Theory (156 papers), Algebraic structures and combinatorial models (153 papers) and Advanced Algebra and Geometry (143 papers). The most active scholars publishing in Moscow Mathematical Journal are Alexander Givental, Pavel Etingof, Michel Van den Bergh, Alexey Bondal, Viktor Ostrik, Raphaël Rouquier, Roman Bezrukavnikov, Andreĭ Okounkov, Dmitri Olegovich Orlov and Christophe Soulé.

In The Last Decade

Fields of papers published in Moscow Mathematical Journal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Moscow Mathematical Journal. 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 Moscow Mathematical Journal.

Countries where authors publish in Moscow Mathematical Journal

Since Specialization
Citations

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