Mikhail Kochetov

742 total citations · 1 hit paper
35 papers, 357 citations indexed

About

Mikhail Kochetov is a scholar working on Algebra and Number Theory, Geometry and Topology and Mathematical Physics. According to data from OpenAlex, Mikhail Kochetov has authored 35 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Algebra and Number Theory, 24 papers in Geometry and Topology and 8 papers in Mathematical Physics. Recurrent topics in Mikhail Kochetov's work include Advanced Topics in Algebra (27 papers), Algebraic structures and combinatorial models (24 papers) and Nonlinear Waves and Solitons (8 papers). Mikhail Kochetov is often cited by papers focused on Advanced Topics in Algebra (27 papers), Algebraic structures and combinatorial models (24 papers) and Nonlinear Waves and Solitons (8 papers). Mikhail Kochetov collaborates with scholars based in Canada, Spain and United States. Mikhail Kochetov's co-authors include Alberto Elduque, Michael A. Slawiński, Yuri Bahturin, Tomasz Danek, Susan Montgomery, Matej Brešar, Iván Angiono and Murray Marshall and has published in prestigious journals such as Geophysics, Pacific Journal of Mathematics and Proceedings of the American Mathematical Society.

In The Last Decade

Mikhail Kochetov

31 papers receiving 339 citations

Hit Papers

Gradings on Simple Lie Algebras 2013 2026 2017 2021 2013 25 50 75 100

Peers

Mikhail Kochetov
Comparison fields: 5 of 34
  • Algebra and Number Theory 241
  • Geometry and Topology 235
  • Mathematical Physics 95
  • Statistical and Nonlinear Physics 60
  • Biomedical Engineering 57
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Citations per field, relative to Mikhail Kochetov
Mikhail Kochetov · 1×
Citations per year, relative to Mikhail Kochetov
Mikhail Kochetov · 1×

Countries citing papers authored by Mikhail Kochetov

Since Specialization
Citations

This map shows the geographic impact of Mikhail Kochetov's research. 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 Mikhail Kochetov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Kochetov more than expected).

Fields of papers citing papers by Mikhail Kochetov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Kochetov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mikhail Kochetov. The network helps show where Mikhail Kochetov may publish in the future.

Co-authorship network of co-authors of Mikhail Kochetov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Kochetov. A scholar is included among the top collaborators of Mikhail Kochetov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikhail Kochetov. Mikhail Kochetov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 3
5 1
6 4
7 8
8 4
9 2
10 6
11
Gradings on Simple Lie Algebras breakdown →
105
12 6
13 32
14 15
15 9
16 2
17 7
18 23
19 3
20 2

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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