Oleg Kanakov
- Statistical and Nonlinear Physics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computer Networks and Communications top 10%
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
- Co-authors
- Mikhail IvanchenkoSergej FlachAlexey ZaikinSusanna GordleevaV. D. ShalfeevGrigory V. OsipovC. K. ChanJürgen Kurths
- Topics
- Nonlinear Photonic Systems (9 papers)Gene Regulatory Network Analysis (6 papers)Advanced Fiber Laser Technologies (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsAtomic and Molecular Physics, and Optics
- Partner nations
- RussiaUnited KingdomGermany
In The Last Decade
Oleg Kanakov
22 papers receiving 459 citations
Peers
Comparison fields: 5 of 71
- Statistical and Nonlinear Physics 280
- Atomic and Molecular Physics, and Optics 171
- Computer Networks and Communications 162
- Cognitive Neuroscience 86
- Cellular and Molecular Neuroscience 68
Countries citing papers authored by Oleg Kanakov
This map shows the geographic impact of Oleg Kanakov'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 Oleg Kanakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleg Kanakov more than expected).
Fields of papers citing papers by Oleg Kanakov
This network shows the impact of papers produced by Oleg Kanakov. 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 Oleg Kanakov. The network helps show where Oleg Kanakov may publish in the future.
Co-authorship network of co-authors of Oleg Kanakov
This figure shows the co-authorship network connecting the top 25 collaborators of Oleg Kanakov. A scholar is included among the top collaborators of Oleg Kanakov 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 Oleg Kanakov. Oleg Kanakov 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 | 0 | |
| 3 | 13 | |
| 4 | 41 | |
| 5 | 17 | |
| 6 | 27 | |
| 7 | 28 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 17 | |
| 14 | 12 | |
| 15 | 8 | |
| 16 | 11 | |
| 17 | 20 | |
| 18 | 59 | |
| 19 | 89 | |
| 20 | 46 |
About Oleg Kanakov
Oleg Kanakov is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Neurology, having authored 24 papers that have together received 473 indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (9 papers), Gene Regulatory Network Analysis (6 papers) and Advanced Fiber Laser Technologies (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (280 citations), Computer Networks and Communications (162 citations) and Atomic and Molecular Physics, and Optics (171 citations). Oleg Kanakov has collaborated with scholars based in Russia, United Kingdom and Germany. Frequent co-authors include Mikhail Ivanchenko, Sergej Flach, Alexey Zaikin, Susanna Gordleeva, V. D. Shalfeev, Grigory V. Osipov, C. K. Chan, Jürgen Kurths, Claudio Franceschi and T. V. Laptyeva. Their work appears in journals such as Physical Review Letters, PLoS ONE and Scientific Reports.
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.