V.G. Makhankov

161 total papers · 2.3k total citations
62 papers, 1.8k citations indexed

About

V.G. Makhankov is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Mathematical Physics. According to data from OpenAlex, V.G. Makhankov has authored 62 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistical and Nonlinear Physics, 18 papers in Atomic and Molecular Physics, and Optics and 10 papers in Mathematical Physics. Recurrent topics in V.G. Makhankov's work include Nonlinear Waves and Solitons (36 papers), Nonlinear Photonic Systems (30 papers) and Advanced Mathematical Physics Problems (9 papers). V.G. Makhankov is often cited by papers focused on Nonlinear Waves and Solitons (36 papers), Nonlinear Photonic Systems (30 papers) and Advanced Mathematical Physics Problems (9 papers). V.G. Makhankov collaborates with scholars based in Russia and India. V.G. Makhankov's co-authors include V. K. Fedyanin, Oktay K. Pashaev, I. V. Barashenkov, I.L. Bogolubsky, В. Н. Цытович, И.В. Пузынин, L. V. Yakushevich, Anirban Kundu, Е. И. Литвиненко and S. Sergeenkov and has published in prestigious journals such as Physical Review Letters, Physics Reports and Computer Physics Communications.

In The Last Decade

V.G. Makhankov

58 papers receiving 1.6k citations

Hit Papers

Dynamics of classical sol... 1978 2026 1994 2010 1978 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
V.G. Makhankov 1.1k 585 532 238 222 62 1.8k
Avy Soffer 1.2k 1.1× 520 0.9× 1.6k 3.0× 213 0.9× 279 1.3× 91 2.2k
E. A. Kuznetsov 1.0k 0.9× 721 1.2× 267 0.5× 222 0.9× 98 0.4× 49 1.9k
Rafael D. Benguria 461 0.4× 427 0.7× 702 1.3× 163 0.7× 669 3.0× 108 1.9k
G. Turchetti 656 0.6× 303 0.5× 287 0.5× 331 1.4× 113 0.5× 171 1.4k
R. K. Dodd 1.8k 1.6× 740 1.3× 383 0.7× 97 0.4× 67 0.3× 40 2.3k
Karl‐Heinz Spatschek 726 0.7× 757 1.3× 379 0.7× 285 1.2× 185 0.8× 80 1.4k
W. K. Schief 1.9k 1.7× 448 0.8× 243 0.5× 90 0.4× 233 1.0× 122 2.3k
G. M. Zaslavskiĭ 929 0.8× 353 0.6× 125 0.2× 195 0.8× 100 0.5× 57 1.6k
E. Infeld 1.0k 0.9× 1.1k 1.9× 225 0.4× 235 1.0× 44 0.2× 112 1.8k
Hedley Morris 1.3k 1.1× 653 1.1× 296 0.6× 75 0.3× 52 0.2× 64 1.9k

Countries citing papers authored by V.G. Makhankov

Since Specialization
Citations

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

Fields of papers citing papers by V.G. Makhankov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V.G. Makhankov

This figure shows the co-authorship network connecting the top 25 collaborators of V.G. Makhankov. A scholar is included among the top collaborators of V.G. Makhankov 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 V.G. Makhankov. V.G. Makhankov 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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