Mikhail M. Sushchik
- Statistical and Nonlinear Physics top 0.2%
- Chaos control and synchronization 7
- Quantum chaos and dynamical systems 5
- stochastic dynamics and bifurcation 2
- Computer Networks and Communications top 0.5%
- Nonlinear Dynamics and Pattern Formation 10
- Cognitive Neuroscience top 5%
- Economics and Econometrics top 5%
- Artificial Intelligence top 10%
- Neural Networks and Applications 1
-
- Control Systems and Identification 1
-
- Semiconductor Lasers and Optical Devices 1
-
- Gene Regulatory Network Analysis 1
- Co-authors
- Nikolai F. RulkovHenry D. I. AbarbanelLev S. TsimringLeonid L. RubchinskyAlbert L. KellnerPaul K. L. Yu
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Journals
- Physics Letters A (2 papers)Journal of the Optical Society of America B (1 paper)International Journal of Bifurcation and Chaos (3 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Mikhail M. Sushchik
10 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Statistical and Nonlinear Physics 1.7k
- Computer Networks and Communications 1.7k
- Cognitive Neuroscience 413
- Economics and Econometrics 240
- Artificial Intelligence 145
Countries citing papers authored by Mikhail M. Sushchik
This map shows the geographic impact of Mikhail M. Sushchik'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 Mikhail M. Sushchik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail M. Sushchik more than expected).
Fields of papers citing papers by Mikhail M. Sushchik
This network shows the impact of papers produced by Mikhail M. Sushchik. 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 Mikhail M. Sushchik. The network helps show where Mikhail M. Sushchik may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Mikhail M. Sushchik, 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 | 2000 | 37 | |
| 2 | 1999 | 1 | |
| 3 | 1997 | 50 | |
| 4 | 1996 | 59 | |
| 5 | Generalized synchronization of chaos: The auxiliary system approachbreakdown → | 1996 | 491 |
| 6 | 1996 | 19 | |
| 7 | 1995 | 9 | |
| 8 | 1995 | 4 | |
| 9 | Generalized synchronization of chaos in directionally coupled chaotic systemsbreakdown → | 1995 | 1363 |
| 10 | 1993 | 7 |
About Mikhail M. Sushchik
Mikhail M. Sushchik is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Control and Systems Engineering, having authored 10 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (10 papers), Chaos control and synchronization (7 papers), Quantum chaos and dynamical systems (5 papers), stochastic dynamics and bifurcation (2 papers), Neural Networks and Applications (1 paper), Control Systems and Identification (1 paper), Semiconductor Lasers and Optical Devices (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Computer Networks and Communications (1.7k citations) and Cognitive Neuroscience (413 citations). Mikhail M. Sushchik has collaborated with scholars based in United States and Russia. Frequent co-authors include Nikolai F. Rulkov, Henry D. I. Abarbanel, Lev S. Tsimring, Leonid L. Rubchinsky, Albert L. Kellner and Paul K. L. Yu. Their work appears in journals such as Physics Letters A, Journal of the Optical Society of America B and International Journal of Bifurcation and Chaos.
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.