Arkady Pikovsky
- Statistical and Nonlinear Physics top 0.01%
- Chaos control and synchronization 75
- Quantum chaos and dynamical systems 70
- stochastic dynamics and bifurcation 54
- Nonlinear Photonic Systems 32
- Computer Networks and Communications top 0.01%
- Nonlinear Dynamics and Pattern Formation 207
- Cognitive Neuroscience top 0.1%
- Neural dynamics and brain function 68
- Acoustics and Ultrasonics top 2%
- Mathematical Physics top 1%
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- Slime Mold and Myxomycetes Research 33
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- Theoretical and Computational Physics 32
- Co-authors
- Jürgen KurthsMichael G. RosenblumMichael RosenblumUlrike FeudelGrigory V. OsipovPeter A. TassDenis S. GoldobinDima L. Shepelyansky
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
In The Last Decade
Arkady Pikovsky
275 papers receiving 23.5k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Statistical and Nonlinear Physics 14.4k
- Computer Networks and Communications 15.7k
- Cognitive Neuroscience 7.8k
- Acoustics and Ultrasonics 83
- Mathematical Physics 801
Countries citing papers authored by Arkady Pikovsky
This map shows the geographic impact of Arkady Pikovsky'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 Arkady Pikovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arkady Pikovsky more than expected).
Fields of papers citing papers by Arkady Pikovsky
This network shows the impact of papers produced by Arkady Pikovsky. 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 Arkady Pikovsky. The network helps show where Arkady Pikovsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arkady Pikovsky, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 19 | |
| 12 | 2020 | 11 | |
| 13 | 2017 | 8 | |
| 14 | 2016 | 127 | |
| 15 | 2009 | 3 | |
| 16 | 2007 | 20 | |
| 17 | Multicritical dynamics of nonequilibrium processes | 2003 | 1 |
| 18 | 2001 | 343 | |
| 19 | Detection of | 1998 | 1069 |
| 20 | Universal scenarios of transitions to chaos via homoclinic bifurcations | 1989 | 20 |
About Arkady Pikovsky
Arkady Pikovsky is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 279 papers that have together received 24.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (207 papers), Chaos control and synchronization (75 papers), Quantum chaos and dynamical systems (70 papers), Neural dynamics and brain function (68 papers), stochastic dynamics and bifurcation (54 papers), Slime Mold and Myxomycetes Research (33 papers), Theoretical and Computational Physics (32 papers) and Nonlinear Photonic Systems (32 papers). The work is most often cited by research in Statistical and Nonlinear Physics (14.4k citations), Computer Networks and Communications (15.7k citations) and Cognitive Neuroscience (7.8k citations). Arkady Pikovsky has collaborated with scholars based in Germany, Russia and Italy. Frequent co-authors include Jürgen Kurths, Michael G. Rosenblum, Michael Rosenblum, Ulrike Feudel, Grigory V. Osipov, Peter A. Tass, Denis S. Goldobin, Dima L. Shepelyansky, Antonio Politi and С. П. Кузнецов. Their work appears in journals such as Physical Review Letters, Physica D Nonlinear Phenomena, Chaos An Interdisciplinary Journal of Nonlinear Science, Physics Letters A and Physical review. E.
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.