V. D. Shalfeev

79 total papers · 706 total citations
42 papers, 504 citations indexed

About

V. D. Shalfeev is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, V. D. Shalfeev has authored 42 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 25 papers in Statistical and Nonlinear Physics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in V. D. Shalfeev's work include Nonlinear Dynamics and Pattern Formation (24 papers), Chaos control and synchronization (14 papers) and stochastic dynamics and bifurcation (11 papers). V. D. Shalfeev is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (24 papers), Chaos control and synchronization (14 papers) and stochastic dynamics and bifurcation (11 papers). V. D. Shalfeev collaborates with scholars based in Russia, Germany and United States. V. D. Shalfeev's co-authors include Grigory V. Osipov, Mikhail Ivanchenko, Jürgen Kurths, Valentin Afraimovich, Vladimir I. Nekorkin, Alexander Kozlov, Sergej Flach, Oleg Kanakov, Leon O. Chua and Gian Luigi Forti and has published in prestigious journals such as Physical Review Letters, Physics Letters A and Physica D Nonlinear Phenomena.

In The Last Decade

V. D. Shalfeev

36 papers receiving 467 citations

Author Peers

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

Author						Papers	Cites
V. D. Shalfeev	409	384	183	68	40	42	504
Amit Sharma	384 0.9×	450 1.2×	128 0.7×	74 1.1×	22 0.6×	35	554
O. Calvo	318 0.8×	295 0.8×	143 0.8×	35 0.5×	49 1.2×	42	602
Holokx A. Albuquerque	505 1.2×	416 1.1×	74 0.4×	53 0.8×	47 1.2×	38	606
Judith Lehnert	289 0.7×	449 1.2×	148 0.8×	35 0.5×	33 0.8×	18	524
Thomas Dahms	358 0.9×	552 1.4×	145 0.8×	55 0.8×	81 2.0×	16	619
Juan Hugo García-López	382 0.9×	310 0.8×	89 0.5×	98 1.4×	131 3.3×	55	568
Igor Franović	432 1.1×	358 0.9×	317 1.7×	12 0.2×	42 1.1×	47	587
Xiaoming Liang	370 0.9×	305 0.8×	216 1.2×	54 0.8×	24 0.6×	46	499
Patrick Louodop	452 1.1×	395 1.0×	98 0.5×	19 0.3×	67 1.7×	49	557
Skaidra Bumelienė	345 0.8×	292 0.8×	56 0.3×	90 1.3×	69 1.7×	53	460

Countries citing papers authored by V. D. Shalfeev

Since Specialization

Citations

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

Fields of papers citing papers by V. D. Shalfeev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. D. Shalfeev

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