Vladimir G. Tkachev

81 total papers · 419 total citations
27 papers, 205 citations indexed

About

Vladimir G. Tkachev is a scholar working on Applied Mathematics, Geometry and Topology and Mathematical Physics. According to data from OpenAlex, Vladimir G. Tkachev has authored 27 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Applied Mathematics, 16 papers in Geometry and Topology and 8 papers in Mathematical Physics. Recurrent topics in Vladimir G. Tkachev's work include Geometric Analysis and Curvature Flows (8 papers), Advanced Topics in Algebra (7 papers) and Nonlinear Partial Differential Equations (6 papers). Vladimir G. Tkachev is often cited by papers focused on Geometric Analysis and Curvature Flows (8 papers), Advanced Topics in Algebra (7 papers) and Nonlinear Partial Differential Equations (6 papers). Vladimir G. Tkachev collaborates with scholars based in Sweden, France and Russia. Vladimir G. Tkachev's co-authors include François Hamel, Nikolaï Nadirashvili, Serge Vlăduţ, Gemma Huguet, Björn Gustafsson, Vladimir Kozlov, Uno Wennergren and Jon M. Andersson and has published in prestigious journals such as Communications on Pure and Applied Mathematics, Journal of Mathematical Biology and Pacific Journal of Mathematics.

In The Last Decade

Vladimir G. Tkachev

23 papers receiving 184 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vladimir G. Tkachev 145 90 60 48 34 27 205
Kazimierz Gęba 83 0.6× 39 0.4× 118 2.0× 42 0.9× 14 0.4× 17 235
Bas Lemmens 69 0.5× 23 0.3× 58 1.0× 64 1.3× 13 0.4× 24 212
Hideaki Matsunaga 187 1.3× 129 1.4× 63 1.1× 28 0.6× 53 1.6× 33 289
Alberto Boscaggin 218 1.5× 17 0.2× 83 1.4× 90 1.9× 17 0.5× 44 269
Fozi M. Dannan 173 1.2× 84 0.9× 57 0.9× 40 0.8× 53 1.6× 18 276
B. V. Senthil Kumar 137 0.9× 16 0.2× 52 0.9× 15 0.3× 44 1.3× 38 225
Mostafa Fazly 176 1.2× 113 1.3× 32 0.5× 78 1.6× 50 1.5× 28 280
Jing Yu 145 1.0× 79 0.9× 33 0.6× 7 0.1× 36 1.1× 29 248
Xiang Zhang 25 0.2× 89 1.0× 163 2.7× 11 0.2× 11 0.3× 29 276
Wei Han 129 0.9× 38 0.4× 16 0.3× 33 0.7× 28 0.8× 29 290

Countries citing papers authored by Vladimir G. Tkachev

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir G. Tkachev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir G. Tkachev

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir G. Tkachev. A scholar is included among the top collaborators of Vladimir G. Tkachev 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 Vladimir G. Tkachev. Vladimir G. Tkachev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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