Vladimir Rubtsov

874 citations
29 papers · 331 · h-index 8

Impact in

Papers in

Vladimir Rubtsov

24 papers receiving 297 citations

Peers

Vladimir Rubtsov
Comparison fields: 5 of 36
  • Algebra and Number Theory 114
  • Geometry and Topology 215
  • Statistical and Nonlinear Physics 183
  • Mathematical Physics 117
  • Applied Mathematics 53
Replace Boris Kruglikov with:
Boris Kruglikov Norway
Eva Miranda Spain
A. G. Reyman Russia
Theodore Voronov United Kingdom
Alexander Verbovetsky Russia
Raffaele Vitolo Italy
Gerard Thompson United States
Alexander Goncharov Türkiye
Ray Vanstone
Chin-Lung Wang Taiwan
Vladimir Rubtsov relative to Boris Kruglikov Norway Boris Kruglikov's profile →
Citations per field
00.5×1.5×2.1×
Boris Kruglikov · 1×
Citations per year

Countries citing papers authored by Vladimir Rubtsov

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Rubtsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir Rubtsov. 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 Vladimir Rubtsov. The network helps show where Vladimir Rubtsov may publish in the future.

Co-authors

The 24 scholars most cited alongside Vladimir Rubtsov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vladimir Rubtsov Line = papers co-authored together Vladimir Rubtsov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006123
2 200064
3 199320
4 200918
5 199917
6 199216
7 201614
8 200312
9 20027
10 20096
11 20155
12 20124
13 20223
14 20233
15 20203
16 20083
17 20222
18 20092
19 20122
20 20082

About Vladimir Rubtsov

Vladimir Rubtsov is a scholar working on Geometry and Topology, Statistical and Nonlinear Physics, Mathematical Physics, Algebra and Number Theory and Nuclear and High Energy Physics, having authored 29 papers that have together received 331 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (20 papers), Algebraic structures and combinatorial models (20 papers), Homotopy and Cohomology in Algebraic Topology (10 papers), Advanced Topics in Algebra (10 papers), Geometry and complex manifolds (5 papers), Black Holes and Theoretical Physics (4 papers), Advanced Algebra and Geometry (4 papers) and Nonlinear Photonic Systems (3 papers). The work is most often cited by research in Algebra and Number Theory (114 citations), Geometry and Topology (215 citations), Statistical and Nonlinear Physics (183 citations), Mathematical Physics (117 citations) and Applied Mathematics (53 citations). Vladimir Rubtsov has collaborated with scholars based in France, Russia and United States. Frequent co-authors include Valentin Lychagin, Alexei Kushner, A. Gorsky, V. V. Fock, Nikita Nekrasov, Benjamin Enriquez, Yvette Kosmann–Schwarzbach, Andrey Radul, Marta Mazzocco and Leonid Chekhov. Their work appears in journals such as Communications in Mathematical Physics, Duke Mathematical Journal, Moscow Mathematical Journal, Journal of Physics A Mathematical and Theoretical and Israel Journal of Mathematics.

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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