Igor Belykh
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
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- stochastic dynamics and bifurcation 10
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- Neural dynamics and brain function 10
- Co-authors
- Martin Hasler (1 shared paper)Enno de Lange (1 shared paper)Andrey Shilnikov (5 shared papers)В. Н. Белых (1 shared paper)Kun Zhao (1 shared paper)Erik Mosekilde (1 shared paper)
- Journals
- International Journal of Bifurcation and Chaos (2 papers)Physical Review Letters (2 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Chaos An Interdisciplinary Journal of Nonlinear Science (1 paper)Regular and Chaotic Dynamics (1 paper)
- Partner nations
- United StatesSwitzerlandRussia
In The Last Decade
Igor Belykh
10 papers receiving 617 citations
Peers
Comparison fields: 5 of 43
- Statistical and Nonlinear Physics 482
- Cognitive Neuroscience 457
- Computer Networks and Communications 458
- Cellular and Molecular Neuroscience 82
- Endocrine and Autonomic Systems 21
Countries citing papers authored by Igor Belykh
This map shows the geographic impact of Igor Belykh'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 Igor Belykh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Belykh more than expected).
Fields of papers citing papers by Igor Belykh
This network shows the impact of papers produced by Igor Belykh. 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 Igor Belykh. The network helps show where Igor Belykh may publish in the future.
Co-authors
The 6 scholars most cited alongside Igor Belykh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 350 | |
| 2 | 2008 | 83 | |
| 3 | 2008 | 56 | |
| 4 | 2010 | 43 | |
| 5 | 2012 | 38 | |
| 6 | 2015 | 25 | |
| 7 | 2005 | 23 | |
| 8 | 2017 | 14 | |
| 9 | 2014 | 8 | |
| 10 | 2010 | 6 |
About Igor Belykh
Igor Belykh is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 10 papers that have together received 646 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), stochastic dynamics and bifurcation (10 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (482 citations), Cognitive Neuroscience (457 citations), Computer Networks and Communications (458 citations), Cellular and Molecular Neuroscience (82 citations) and Endocrine and Autonomic Systems (21 citations). Igor Belykh has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include Martin Hasler, Enno de Lange, Andrey Shilnikov, В. Н. Белых, Kun Zhao and Erik Mosekilde. Their work appears in journals such as International Journal of Bifurcation and Chaos, Physical Review Letters, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Chaos An Interdisciplinary Journal of Nonlinear Science and Regular and Chaotic Dynamics.
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.