Н. В. Кузнецов
Impact in
- Statistical and Nonlinear Physics top 0.02%
- Chaos control and synchronization
- Quantum chaos and dynamical systems
- stochastic dynamics and bifurcation
- Computer Networks and Communications top 0.2%
- Nonlinear Dynamics and Pattern Formation
Papers in
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- Chaos control and synchronization 89
- Quantum chaos and dynamical systems 58
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- Nonlinear Dynamics and Pattern Formation 74
- Co-authors
- Г. А. ЛеоновV. I. VagaitsevT. N. MokaevAwadhesh PrasadR. V. YuldashevM. V. YuldashevMarius‐F. DancaSajad Jafari
In The Last Decade
Н. В. Кузнецов
296 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Statistical and Nonlinear Physics 6.0k
- Computer Networks and Communications 3.9k
- Geometry and Topology 702
- Mathematical Physics 601
- Modeling and Simulation 302
Countries citing papers authored by Н. В. Кузнецов
This map shows the geographic impact of Н. В. Кузнецов'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 Н. В. Кузнецов with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Н. В. Кузнецов more than expected).
Fields of papers citing papers by Н. В. Кузнецов
This network shows the impact of papers produced by Н. В. Кузнецов. 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 Н. В. Кузнецов. The network helps show where Н. В. Кузнецов may publish in the future.
Co-authors
The 25 scholars most cited alongside Н. В. Кузнецов, 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 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 41 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 30 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 50 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 30 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 20 | |
| 17 | 2021 | 14 | |
| 18 | 2020 | 7 | |
| 19 | 2017 | 0 | |
| 20 | Hidden attractors in dynamical systems Hit paper breakdown → | 2016 | 553 |
About Н. В. Кузнецов
Н. В. Кузнецов is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Geometry and Topology, Control and Systems Engineering and Modeling and Simulation, having authored 320 papers that have together received 7.9k indexed citations. Recurring topics across this work include Chaos control and synchronization (89 papers), Nonlinear Dynamics and Pattern Formation (74 papers), Quantum chaos and dynamical systems (58 papers), Advancements in PLL and VCO Technologies (49 papers), Advanced Differential Equations and Dynamical Systems (31 papers), Adaptive Control of Nonlinear Systems (23 papers), Solar and Space Plasma Dynamics (22 papers) and Ionosphere and magnetosphere dynamics (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (6.0k citations), Computer Networks and Communications (3.9k citations), Geometry and Topology (702 citations), Mathematical Physics (601 citations) and Modeling and Simulation (302 citations). Н. В. Кузнецов has collaborated with scholars based in Russia, Finland and China. Frequent co-authors include Г. А. Леонов, V. I. Vagaitsev, T. N. Mokaev, Awadhesh Prasad, R. V. Yuldashev, M. V. Yuldashev, Marius‐F. Danca, Sajad Jafari, Tomasz Kapitaniak and Dawid Dudkowski. Their work appears in journals such as International Journal of Bifurcation and Chaos, Nonlinear Dynamics, Communications in Nonlinear Science and Numerical Simulation, Radiation Measurements and Advances in Space Research.
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.