Igor Belykh
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- В. Н. БелыхMartin HaslerRussell JeterErik MosekildeMaurizio PorfiriM. HaslerHenk NijmeijerMorten Colding‐Jørgensen
- Topics
- Nonlinear Dynamics and Pattern Formation (44 papers)Neural Networks Stability and Synchronization (18 papers)stochastic dynamics and bifurcation (15 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Journals
- Physical Review LettersNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesRussiaSwitzerland
In The Last Decade
Igor Belykh
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 1.8k
- Statistical and Nonlinear Physics 1.2k
- Cognitive Neuroscience 337
- Molecular Biology 312
- Biomedical Engineering 124
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-authorship network of co-authors of Igor Belykh
This figure shows the co-authorship network connecting the top 25 collaborators of Igor Belykh. A scholar is included among the top collaborators of Igor Belykh 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 Igor Belykh. Igor Belykh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 29 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 21 | |
| 10 | 4 | |
| 11 | 37 | |
| 12 | 23 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 50 | |
| 16 | 14 | |
| 17 | 7 | |
| 18 | 150 | |
| 19 | 11 | |
| 20 | 1 |
About Igor Belykh
Igor Belykh is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Geometry and Topology, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (44 papers), Neural Networks Stability and Synchronization (18 papers) and stochastic dynamics and bifurcation (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Computer Networks and Communications (1.8k citations) and Cognitive Neuroscience (337 citations). Igor Belykh has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include В. Н. Белых, Martin Hasler, Russell Jeter, Erik Mosekilde, Maurizio Porfiri, M. Hasler, Henk Nijmeijer, Morten Colding‐Jørgensen, Mario di Bernardo and Jürgen Kurths. Their work appears in journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.
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.