Evgeny Yu. Panov

1.2k citations
62 papers · 746 indexed · h-index 15
Topics
Navier-Stokes equation solutions (34 papers)Advanced Mathematical Physics Problems (27 papers)Nonlinear Partial Differential Equations (21 papers)
Partner nations
RussiaBrazilSwitzerland

In The Last Decade

Evgeny Yu. Panov

53 papers receiving 665 citations

Peers

Evgeny Yu. Panov
Comparison fields: 5 of 39
  • Applied Mathematics 619
  • Mathematical Physics 326
  • Computational Mechanics 285
  • Control and Systems Engineering 165
  • Computational Theory and Mathematics 115
Replace Stefano Bianchini with:
Stefano Bianchini Italy
Francisco Gancedo Spain
Dragoş Iftimie France
Taoufik Hmidi France
Marco Cannone France
Vlad Vicol United States
Quansen Jiu China
Evelyn Lunasin United States
Zoran Grujić United States
Qiangchang Ju China
Evgeny Yu. Panov relative to Stefano Bianchini Italy Stefano Bianchini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Evgeny Yu. Panov

Since Specialization
Citations

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

Fields of papers citing papers by Evgeny Yu. Panov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evgeny Yu. Panov. 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 Evgeny Yu. Panov. The network helps show where Evgeny Yu. Panov may publish in the future.

Co-authorship network of co-authors of Evgeny Yu. Panov

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny Yu. Panov. A scholar is included among the top collaborators of Evgeny Yu. Panov 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 Evgeny Yu. Panov. Evgeny Yu. Panov 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
#WorkIndexed citations
1 1
2 0
3 1
4 1
5 0
6 19
7 3
8 8
9 6
10 3
11 16
12 8
13 26
14 7
15 109
16 58
17 18
18 10
19 11
20 5

About Evgeny Yu. Panov

Evgeny Yu. Panov is a scholar working on Applied Mathematics, Mathematical Physics and Numerical Analysis, having authored 62 papers that have together received 746 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (34 papers), Advanced Mathematical Physics Problems (27 papers) and Nonlinear Partial Differential Equations (21 papers). The work is most often cited by research in Applied Mathematics (619 citations), Mathematical Physics (326 citations) and Computational Mechanics (285 citations). Evgeny Yu. Panov has collaborated with scholars based in Russia, Brazil and Switzerland. Frequent co-authors include V. M. Shelkovich, S. N. Kruzhkov, Eduardo Abreu, Mikhail V. Korobkov, Darko Mitrović, Jean Carlos Cardozo da Silva, Helge Holden and Kenneth H. Karlsen. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.

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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