E.I. Volkov
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
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- Nonlinear Dynamics and Pattern Formation
Papers in
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- Nonlinear Dynamics and Pattern Formation 22
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- Gene Regulatory Network Analysis 17
- Co-authors
- Jürgen Kurths (8 shared papers)Aneta Koseska (5 shared papers)Ekkehard Ullner (4 shared papers)Alexey Zaikin (4 shared papers)Nataliya Stankevich (5 shared papers)Edward H. Hellen (5 shared papers)Jordi García‐Ojalvo (1 shared paper)David Lloyd (2 shared papers)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (7 papers)Biosystems (3 papers)Biological Cybernetics (2 papers)Physics Reports (1 paper)Chaos Solitons & Fractals (1 paper)
- Partner nations
- RussiaGermanyUnited States
In The Last Decade
E.I. Volkov
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Statistical and Nonlinear Physics 677
- Computer Networks and Communications 788
- Cognitive Neuroscience 225
- Modeling and Simulation 30
- Cellular and Molecular Neuroscience 88
Countries citing papers authored by E.I. Volkov
This map shows the geographic impact of E.I. Volkov'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 E.I. Volkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.I. Volkov more than expected).
Fields of papers citing papers by E.I. Volkov
This network shows the impact of papers produced by E.I. Volkov. 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 E.I. Volkov. The network helps show where E.I. Volkov may publish in the future.
Co-authors
The 25 scholars most cited alongside E.I. Volkov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 343 | |
| 2 | 2009 | 92 | |
| 3 | 2003 | 83 | |
| 4 | 2007 | 79 | |
| 5 | 2010 | 74 | |
| 6 | 2009 | 59 | |
| 7 | 2003 | 34 | |
| 8 | 1991 | 30 | |
| 9 | 1990 | 25 | |
| 10 | 2005 | 24 | |
| 11 | 2012 | 23 | |
| 12 | 2018 | 23 | |
| 13 | 2011 | 22 | |
| 14 | 2009 | 19 | |
| 15 | 2002 | 19 | |
| 16 | 2013 | 18 | |
| 17 | 1976 | 18 | |
| 18 | 1982 | 16 | |
| 19 | 1984 | 14 | |
| 20 | 2003 | 14 |
About E.I. Volkov
E.I. Volkov is a scholar working on Computer Networks and Communications, Molecular Biology, Statistical and Nonlinear Physics, Plant Science and Genetics, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (22 papers), stochastic dynamics and bifurcation (19 papers), Gene Regulatory Network Analysis (17 papers), Plant and Biological Electrophysiology Studies (7 papers), Evolution and Genetic Dynamics (6 papers), Chaos control and synchronization (4 papers), Neural dynamics and brain function (4 papers) and thermodynamics and calorimetric analyses (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (677 citations), Computer Networks and Communications (788 citations), Cognitive Neuroscience (225 citations), Modeling and Simulation (30 citations) and Cellular and Molecular Neuroscience (88 citations). E.I. Volkov has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Jürgen Kurths, Aneta Koseska, Ekkehard Ullner, Alexey Zaikin, Nataliya Stankevich, Edward H. Hellen, Jordi García‐Ojalvo, David Lloyd, J. Kurths and Alexey Kuznetsov. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Biosystems, Biological Cybernetics, Physics Reports and Chaos Solitons & Fractals.
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.