V. S. Zykov

3.0k citations
88 papers · 2.4k · h-index 25

Impact in

Papers in

V. S. Zykov

86 papers receiving 2.3k citations

Peers

V. S. Zykov
Comparison fields: 5 of 86
  • Statistical and Nonlinear Physics 1.2k
  • Computer Networks and Communications 2.0k
  • Condensed Matter Physics 317
  • Cognitive Neuroscience 306
  • Cellular and Molecular Neuroscience 227
Replace V. I. Krinsky with:
V. I. Krinsky Russia
Harald Engel Germany
Kyoung J. Lee South Korea
Alberto P. Muñuzuri Spain
V. N. Biktashev United Kingdom
Anatol M. Zhabotinsky United States
A.M. Zhabotinsky Russia
А. Н. Заикин Russia
Markus Bär Germany
Mario Markus Germany
V. S. Zykov relative to V. I. Krinsky Russia V. I. Krinsky's profile →
Citations per field
00.5×2.7×
V. I. Krinsky · 1×
Citations per year

Countries citing papers authored by V. S. Zykov

Since Specialization
Citations

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

Fields of papers citing papers by V. S. Zykov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside V. S. Zykov, 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 V. S. Zykov Line = papers co-authored together V. S. Zykov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993271
2
Simulation of Wave Processes in Excitable Media
1988253
3 1994150
4 1995120
5 199194
6 199784
7 200083
8 199474
9 199672
10 199166
11 200551
12 200147
13 200447
14 199943
15 199640
16 200137
17 199337
18 200435
19 199832
20 200829

About V. S. Zykov

V. S. Zykov is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Biomedical Engineering, Condensed Matter Physics and Molecular Biology, having authored 88 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (74 papers), stochastic dynamics and bifurcation (26 papers), Slime Mold and Myxomycetes Research (20 papers), Theoretical and Computational Physics (11 papers), Quantum chaos and dynamical systems (11 papers), Photosynthetic Processes and Mechanisms (9 papers), Neural dynamics and brain function (9 papers) and Plant and animal studies (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Computer Networks and Communications (2.0k citations), Condensed Matter Physics (317 citations), Cognitive Neuroscience (306 citations) and Cellular and Molecular Neuroscience (227 citations). V. S. Zykov has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Stefan C. Müller, Alexander S. Mikhailov, Oliver Steinbock, Arthur T. Winfree, V. A. Davydov, Harald Engel, Stephan W. Grill, Eberhard Bodenschatz, Valery A. Davydov and Kenneth Showalter. Their work appears in journals such as Physical Review Letters, New Journal of Physics, Physica D Nonlinear Phenomena, Chaos An Interdisciplinary Journal of Nonlinear Science and Physical Chemistry Chemical Physics.

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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