M. M. Sushchik

1.2k total citations
36 papers, 847 citations indexed

About

M. M. Sushchik is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. M. Sushchik has authored 36 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 15 papers in Computer Networks and Communications and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. M. Sushchik's work include Nonlinear Dynamics and Pattern Formation (15 papers), Chaos control and synchronization (9 papers) and stochastic dynamics and bifurcation (5 papers). M. M. Sushchik is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (15 papers), Chaos control and synchronization (9 papers) and stochastic dynamics and bifurcation (5 papers). M. M. Sushchik collaborates with scholars based in United States and Russia. M. M. Sushchik's co-authors include Lev S. Tsimring, Alexander Volkovskii, M. I. Rabinovich, H.D.I. Abarbanel, Nikolai F. Rulkov, Grigory V. Osipov, Ramón Huerta, Allen I. Selverston, Maksim Bazhenov and L.E. Larson and has published in prestigious journals such as Physics Letters A, Physica D Nonlinear Phenomena and Journal of the Optical Society of America B.

In The Last Decade

M. M. Sushchik

31 papers receiving 769 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. M. Sushchik United States 13 526 411 197 151 127 36 847
Ned J. Corron United States 19 825 1.6× 495 1.2× 253 1.3× 86 0.6× 71 0.6× 62 1.0k
H.D.I. Abarbanel United States 14 603 1.1× 424 1.0× 65 0.3× 162 1.1× 397 3.1× 23 1.2k
Rabinder N. Madan United States 12 436 0.8× 390 0.9× 62 0.3× 61 0.4× 37 0.3× 32 838
Shawn D. Pethel United States 12 388 0.7× 258 0.6× 57 0.3× 44 0.3× 77 0.6× 34 570
Stephen Hammel United States 10 804 1.5× 405 1.0× 35 0.2× 134 0.9× 43 0.3× 31 1.2k
A. Tamaševičius Lithuania 21 1.6k 3.0× 1.3k 3.1× 181 0.9× 129 0.9× 125 1.0× 92 1.8k
Alexandre Wagemakers Spain 15 418 0.8× 302 0.7× 43 0.2× 106 0.7× 98 0.8× 44 657
Antonio Palacios United States 20 391 0.7× 362 0.9× 55 0.3× 301 2.0× 60 0.5× 105 1.1k
L. S. GODDARD 4 254 0.5× 169 0.4× 35 0.2× 114 0.8× 53 0.4× 6 946
Paul S. Linsay United States 13 564 1.1× 442 1.1× 38 0.2× 65 0.4× 47 0.4× 27 849

Countries citing papers authored by M. M. Sushchik

Since Specialization
Citations

This map shows the geographic impact of M. 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 M. 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 M. M. Sushchik more than expected).

Fields of papers citing papers by M. M. Sushchik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. 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 M. M. Sushchik. The network helps show where M. M. Sushchik may publish in the future.

Co-authorship network of co-authors of M. M. Sushchik

This figure shows the co-authorship network connecting the top 25 collaborators of M. M. Sushchik. A scholar is included among the top collaborators of M. M. Sushchik 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 M. M. Sushchik. M. M. Sushchik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rubchinsky, Leonid L., M. M. Sushchik, & Grigory V. Osipov. (2002). Patterns in networks of oscillators formed via synchronization and oscillator death. Mathematics and Computers in Simulation. 58(4-6). 443–467. 17 indexed citations
2.
Rulkov, Nikolai F., M. M. Sushchik, Lev S. Tsimring, & Alexander Volkovskii. (2001). Digital communication using chaotic-pulse-position modulation. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 48(12). 1436–1444. 83 indexed citations
3.
Osipov, Grigory V. & M. M. Sushchik. (1998). Synchronized clusters and multistability in arrays of oscillators with different natural frequencies. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 58(6). 7198–7207. 44 indexed citations
4.
Sushchik, M. M., Nikolai F. Rulkov, & H.D.I. Abarbanel. (1997). Robustness and stability of synchronized chaos: an illustrative model. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 44(10). 867–873. 27 indexed citations
5.
Abarbanel, H.D.I., M. I. Rabinovich, Allen I. Selverston, et al.. (1996). Synchronisation in neural networks. Uspekhi Fizicheskih Nauk. 166(4). 363–390. 36 indexed citations
6.
Osipov, Grigory V. & M. M. Sushchik. (1995). Coherent structures in coupled chains of self-excited oscillators. Physics Letters A. 201(2-3). 205–212. 6 indexed citations
7.
Abarbanel, Henry D. I., M. I. Rabinovich, & M. M. Sushchik. (1993). Introduction to Nonlinear Dynamics for Physicists. 15 indexed citations
8.
Abarbanel, Henry D. I., M. I. Rabinovich, & M. M. Sushchik. (1993). Introduction to Nonlinear Dynamics for Physicists. 22 indexed citations
9.
Rabinovich, M. I. & M. M. Sushchik. (1990). The regular and chaotic dynamics of structures in fluid flows. Soviet Physics Uspekhi. 33(1). 1–35. 40 indexed citations
10.
Rabinovich, M. I. & M. M. Sushchik. (1990). The regular and chaotic dynamics of structures in fluid flows. Uspekhi Fizicheskih Nauk. 160(1). 3–3. 29 indexed citations
11.
Rabinovich, M. I., et al.. (1987). Finite-dimensional attractors in shear flows with a feedback. Soviet physics. Doklady. 292(2). 284–287.
12.
Sushchik, M. M.. (1987). Dynamics of structures in shear flows. 104–132. 1 indexed citations
13.
Rabinovich, M. I., et al.. (1986). Formation of solitary vortices in flow over small spherical depressions. 12. 1323–1328. 1 indexed citations
14.
Rabinovich, M. I., et al.. (1984). Modulation mechanism of turbulence suppression in shear flows. 277(1). 61–64. 1 indexed citations
15.
Kudryashov, Alexis, et al.. (1984). Modulation mechanism of suppression of turbulence in shear flows. Soviet physics. Doklady. 29. 530. 1 indexed citations
16.
Sushchik, M. M., et al.. (1978). Formation and amplification of quasisoliton pulses in head-on stimulated scattering. Soviet Journal of Quantum Electronics. 8(5). 576–580. 12 indexed citations
17.
Babin, A. A., et al.. (1976). Investigation of optical parametric oscillators with noncollinear interaction. Soviet Journal of Quantum Electronics. 6(8). 950–958.
18.
Sushchik, M. M. & G. I. Freǐdman. (1970). The effect of nonuniformity of the amplitude and phase distribution of the pumping radiation on the spatial locking of parametrically amplified waves. Radiophysics and Quantum Electronics. 13(9). 1043–1047. 1 indexed citations
19.
Sushchik, M. M., et al.. (1970). Parametric amplification and generation of light. Radiophysics and Quantum Electronics. 13(5). 489–521. 5 indexed citations
20.
Sushchik, M. M., et al.. (1969). Trapping of parametrically coupled waves by pulses and beams of pump radiation. Radiophysics and Quantum Electronics. 12(2). 235–238. 4 indexed citations

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.

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