Andrei V. Slepnev

407 total citations
21 papers, 290 citations indexed

About

Andrei V. Slepnev is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Andrei V. Slepnev has authored 21 papers receiving a total of 290 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 6 papers in Cognitive Neuroscience. Recurrent topics in Andrei V. Slepnev's work include Nonlinear Dynamics and Pattern Formation (15 papers), stochastic dynamics and bifurcation (12 papers) and Chaos control and synchronization (7 papers). Andrei V. Slepnev is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (15 papers), stochastic dynamics and bifurcation (12 papers) and Chaos control and synchronization (7 papers). Andrei V. Slepnev collaborates with scholars based in Russia, Germany and France. Andrei V. Slepnev's co-authors include Т. Е. Вадивасова, В. В. Семенов, В. С. Анищенко, Eckehard Schöll, Galina I. Strelkova, Andrei V. Bukh, Anna Zakharova, Nadezhda Semenova, Maksim О. Zhuravlev and Igor A. Shepelev and has published in prestigious journals such as Chaos Solitons & Fractals, Nonlinear Dynamics and Communications in Nonlinear Science and Numerical Simulation.

In The Last Decade

Andrei V. Slepnev

19 papers receiving 276 citations

Peers

Andrei V. Slepnev

CNC

SNP

EEE

Andrei V. Bukh Russia

Md Sayeed Anwar India

Patrycja Jaros Poland

Bastian Pietras Spain

Elena Rybalova Russia

Jakub Sawicki Germany

Premraj Durairaj India

Judith Lehnert Germany

Gonzalo Marcelo Ramírez-Ávila Bolivia

Andrei V. Bukh Russia

Andrei V. Slepnev

300 ×1.4

CNC

245 ×1.3

SNP

149 ×1.3

79 ×1.6

22 ×0.5

EEE

Citations per year, relative to Andrei V. Slepnev Andrei V. Slepnev (= 1×) peers Andrei V. Bukh

Countries citing papers authored by Andrei V. Slepnev

Since Specialization

Citations

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

Fields of papers citing papers by Andrei V. Slepnev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrei V. Slepnev. 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 Andrei V. Slepnev. The network helps show where Andrei V. Slepnev may publish in the future.

Co-authorship network of co-authors of Andrei V. Slepnev

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

All Works

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20 of 20 papers shown

Семенов, В. В., et al.. (2024). Synchronization effects in multiplex networks of chaotic maps with memristive interlayer coupling. Communications in Nonlinear Science and Numerical Simulation. 135. 108072–108072.

Slepnev, Andrei V., et al.. (2024). Traveling waves in an ensemble of excitable oscillators: The interplay of memristive coupling and noise. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(12). 5 indexed citations

Вадивасова, Т. Е., et al.. (2024). Dynamics of two coupled van der Pol–Mathieu oscillators. Chaos Solitons & Fractals. 182. 114839–114839.

Runnova, Anastasiya E., et al.. (2023). Simple method for detecting sleep episodes in rats ECoG using machine learning. Chaos Solitons & Fractals. 173. 113608–113608. 7 indexed citations

Slepnev, Andrei V., et al.. (2023). VIDEO STREAM COMPRESSION FOR CONTROLLING UNMANNED SYSTEMS IN HYBRID ORBITAL-TERRESTRIAL COMMUNICATION NETWORKS. 1 indexed citations

Slepnev, Andrei V., et al.. (2023). Feigenbaum scenario without parameters. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(9). 3 indexed citations

Slepnev, Andrei V., et al.. (2023). Symbiosis of an artificial neural network and models of biological neurons: Training and testing. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(7). 5 indexed citations

Семенов, В. В., et al.. (2022). Synchronization of Traveling Waves in Memristively Coupled Ensembles of FitzHugh–Nagumo Neurons With Periodic Boundary Conditions. Frontiers in Physics. 10. 5 indexed citations

Slepnev, Andrei V., et al.. (2022). Generalized model for steady-state bifurcations without parameters in memristor-based oscillators with lines of equilibria. Nonlinear Dynamics. 111(2). 1235–1243. 3 indexed citations

10.

Runnova, Anastasiya E., Maksim О. Zhuravlev, Anton R. Kiselev, et al.. (2021). Wavelet skeletons in sleep EEG-monitoring as biomarkers of early diagnostics of mild cognitive impairment. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(7). 73110–73110. 14 indexed citations

11.

Semenova, Nadezhda, Andrei V. Slepnev, Anastasiya E. Runnova, et al.. (2021). Blood-brain barrier permeability changes: nonlinear analysis of ECoG based on wavelet and machine learning approaches. The European Physical Journal Plus. 136(7). 7 indexed citations

12.

Семенов, В. В., et al.. (2021). The impact of memristive coupling initial states on travelling waves in an ensemble of the FitzHugh–Nagumo oscillators. Chaos Solitons & Fractals. 147. 110923–110923. 27 indexed citations

13.

Семенов, В. В., et al.. (2020). Complete synchronization of chaos in systems with nonlinear inertial coupling. Chaos Solitons & Fractals. 142. 110459–110459. 54 indexed citations

14.

Slepnev, Andrei V., et al.. (2020). Forced synchronization of an oscillator with a line of equilibria. The European Physical Journal Special Topics. 229(12-13). 2215–2224. 7 indexed citations

15.

Вадивасова, Т. Е., Andrei V. Slepnev, & Anna Zakharova. (2020). Control of inter-layer synchronization by multiplexing noise. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(9). 91101–91101. 16 indexed citations

16.

Bukh, Andrei V., Andrei V. Slepnev, В. С. Анищенко, & Т. Е. Вадивасова. (2018). Stability and Noise-induced Transitions in an Ensemble of Nonlocally Coupled Chaotic Maps. Regular and Chaotic Dynamics. 23(3). 325–338. 19 indexed citations

17.

Slepnev, Andrei V., Andrei V. Bukh, & Т. Е. Вадивасова. (2017). Stationary and non-stationary chimeras in an ensemble of chaotic self-sustained oscillators with inertial nonlinearity. Nonlinear Dynamics. 88(4). 2983–2992. 13 indexed citations

18.

Slepnev, Andrei V., et al.. (2016). Mechanisms of appearance of amplitude and phase chimera states in ensembles of nonlocally coupled chaotic systems. Communications in Nonlinear Science and Numerical Simulation. 43. 25–36. 92 indexed citations

19.

Shepelev, Igor A., Andrei V. Slepnev, & Т. Е. Вадивасова. (2016). Different synchronization characteristics of distinct types of traveling waves in a model of active medium with periodic boundary conditions. Communications in Nonlinear Science and Numerical Simulation. 38. 206–217. 9 indexed citations

20.

Slepnev, Andrei V. & Т. Е. Вадивасова. (2012). Two kinds of auto-oscillations in active medium with periodical border conditions. Nelineinaya Dinamika. 497–505. 2 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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