Lev Ryashko

3.2k total citations
228 papers, 2.4k citations indexed

About

Lev Ryashko is a scholar working on Statistical and Nonlinear Physics, Global and Planetary Change and Computer Networks and Communications. According to data from OpenAlex, Lev Ryashko has authored 228 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 180 papers in Statistical and Nonlinear Physics, 112 papers in Global and Planetary Change and 107 papers in Computer Networks and Communications. Recurrent topics in Lev Ryashko's work include stochastic dynamics and bifurcation (160 papers), Ecosystem dynamics and resilience (109 papers) and Nonlinear Dynamics and Pattern Formation (102 papers). Lev Ryashko is often cited by papers focused on stochastic dynamics and bifurcation (160 papers), Ecosystem dynamics and resilience (109 papers) and Nonlinear Dynamics and Pattern Formation (102 papers). Lev Ryashko collaborates with scholars based in Russia, Spain and Germany. Lev Ryashko's co-authors include Irina Bashkirtseva, Dmitri V. Alexandrov, Alexander N. Pisarchik, G.N. Mil'shtein, Sergei Fedotov, Guanrong Chen, Alexander Neiman, Michel Crucifix, Philipp Kügler and Henri Schurz and has published in prestigious journals such as IEEE Transactions on Automatic Control, Physics Reports and Earth and Planetary Science Letters.

In The Last Decade

Lev Ryashko

201 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lev Ryashko Russia 27 1.7k 1.0k 1.0k 436 343 228 2.4k
Irina Bashkirtseva Russia 25 1.6k 0.9× 917 0.9× 911 0.9× 405 0.9× 319 0.9× 225 2.2k
Christian Kuehn Germany 16 1.1k 0.6× 485 0.5× 854 0.9× 350 0.8× 224 0.7× 103 2.1k
Horacio S. Wio Argentina 31 2.5k 1.5× 584 0.6× 1.1k 1.1× 343 0.8× 165 0.5× 169 3.3k
A. A. Dubkov Russia 21 1.1k 0.7× 303 0.3× 338 0.3× 330 0.8× 151 0.4× 75 2.0k
A. Fiasconaro Italy 18 789 0.5× 411 0.4× 301 0.3× 94 0.2× 188 0.5× 53 1.5k
Ying-Cheng Lai United States 35 2.4k 1.4× 280 0.3× 1.8k 1.7× 286 0.7× 197 0.6× 83 3.2k
Dong-Cheng Mei China 22 1.1k 0.6× 388 0.4× 455 0.5× 125 0.3× 58 0.2× 111 1.5k
Sudeshna Sinha India 37 2.4k 1.4× 255 0.3× 1.5k 1.5× 639 1.5× 59 0.2× 162 3.6k
W. Govaerts Belgium 25 896 0.5× 132 0.1× 801 0.8× 260 0.6× 469 1.4× 89 3.5k
Seung‐Yeal Ha South Korea 33 1.3k 0.8× 286 0.3× 3.0k 3.0× 146 0.3× 606 1.8× 266 4.4k

Countries citing papers authored by Lev Ryashko

Since Specialization
Citations

This map shows the geographic impact of Lev Ryashko'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 Lev Ryashko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lev Ryashko more than expected).

Fields of papers citing papers by Lev Ryashko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lev Ryashko

This figure shows the co-authorship network connecting the top 25 collaborators of Lev Ryashko. A scholar is included among the top collaborators of Lev Ryashko 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 Lev Ryashko. Lev Ryashko 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.
Bashkirtseva, Irina, Lev Ryashko, & Alexander N. Pisarchik. (2025). Dragon Intermittency at the Transition to Synchronization in Coupled Rulkov Neurons. Mathematics. 13(3). 415–415.
2.
3.
Alexandrov, Dmitri V., Irina Bashkirtseva, & Lev Ryashko. (2025). The wonders of colored noise in a climate model. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(6).
4.
Seoane, Jesús M., et al.. (2025). Impact of network heterogeneity on neuronal synchronization. Communications in Nonlinear Science and Numerical Simulation. 146. 108810–108810.
5.
Bashkirtseva, Irina, Lev Ryashko, Jesús M. Seoane, & Miguel A. F. Sanjuán. (2024). Chaotic transitions in a tumor-immune model under chemotherapy treatment. Communications in Nonlinear Science and Numerical Simulation. 132. 107946–107946. 5 indexed citations
6.
Bashkirtseva, Irina & Lev Ryashko. (2024). Dynamical variability, order-chaos transitions, and bursting Canards in the memristive Rulkov neuron model. Chaos Solitons & Fractals. 186. 115317–115317. 6 indexed citations
7.
Seoane, Jesús M., et al.. (2024). Synchronization of two non-identical Chialvo neurons. Chaos Solitons & Fractals. 183. 114888–114888. 5 indexed citations
8.
Bashkirtseva, Irina & Lev Ryashko. (2023). Transformations of spike and burst oscillations in the stochastic Rulkov model. Chaos Solitons & Fractals. 170. 113414–113414. 4 indexed citations
9.
Bashkirtseva, Irina & Lev Ryashko. (2023). How noise induces multi-stage transformations of oscillatory regimes in a thermochemical model. Physics Letters A. 476. 128884–128884. 1 indexed citations
10.
Bashkirtseva, Irina, et al.. (2023). Stochastic dynamics of nonlinear tumor–immune system with chemotherapy. Physica A Statistical Mechanics and its Applications. 622. 128835–128835. 3 indexed citations
11.
Ryashko, Lev & Irina Bashkirtseva. (2023). Noise-induced structural transformations of oscillatory modes in calcium dynamics. The European Physical Journal Special Topics. 232(8). 1253–1259.
12.
Ryashko, Lev, Dmitri V. Alexandrov, & Irina Bashkirtseva. (2021). Analysis of Stochastic Generation and Shifts of Phantom Attractors in a Climate–Vegetation Dynamical Model. Mathematics. 9(12). 1329–1329. 6 indexed citations
13.
Alexandrov, Dmitri V., Irina Bashkirtseva, & Lev Ryashko. (2020). Stochastic sensitivity analysis of volcanic activity. Mathematical Methods in the Applied Sciences. 44(16). 12078–12087. 1 indexed citations
14.
Alexandrov, Dmitri V., Irina Bashkirtseva, & Lev Ryashko. (2020). Anomalous climate dynamics induced by multiplicative and additive noises. Physical review. E. 102(1). 12217–12217. 13 indexed citations
15.
Alexandrov, Dmitri V., Irina Bashkirtseva, & Lev Ryashko. (2018). Noise-induced chaos in non-linear dynamics of El Niños. Physics Letters A. 382(40). 2922–2926. 7 indexed citations
16.
Alexandrov, Dmitri V., Irina Bashkirtseva, & Lev Ryashko. (2018). Noise-induced transitions and shifts in a climate–vegetation feedback model. Royal Society Open Science. 5(4). 171531–171531. 11 indexed citations
17.
Alexandrov, Dmitri V., Irina Bashkirtseva, & Lev Ryashko. (2018). Nonlinear dynamics of mushy layers induced by external stochastic fluctuations. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 376(2113). 20170216–20170216. 39 indexed citations
18.
Bashkirtseva, Irina, A. Yu. Zubarev, L. Yu. Iskakova, & Lev Ryashko. (2009). On rheophysics of high-concentrated suspensions. Colloid Journal. 71(4). 446–454. 15 indexed citations
19.
Bashkirtseva, Irina, et al.. (1999). Quasipotential in stochastic stability analysis of the nonlinear oscillator orbits. Neural, Parallel & Scientific Computations archive. 7(3). 299–310. 2 indexed citations
20.
Ryashko, Lev & G.N. Mil'shtein. (1984). ESTIMATION IN CONTROLLED STOCHASTIC-SYSTEMS WITH MULTIPLICATIVE NOISE. Automation and Remote Control. 45(6). 759–765. 3 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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