Ilya V. Sysoev

720 total citations
84 papers, 542 citations indexed

About

Ilya V. Sysoev is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Ilya V. Sysoev has authored 84 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 37 papers in Statistical and Nonlinear Physics and 28 papers in Computer Networks and Communications. Recurrent topics in Ilya V. Sysoev's work include Neural dynamics and brain function (44 papers), Nonlinear Dynamics and Pattern Formation (26 papers) and stochastic dynamics and bifurcation (20 papers). Ilya V. Sysoev is often cited by papers focused on Neural dynamics and brain function (44 papers), Nonlinear Dynamics and Pattern Formation (26 papers) and stochastic dynamics and bifurcation (20 papers). Ilya V. Sysoev collaborates with scholars based in Russia, Netherlands and Germany. Ilya V. Sysoev's co-authors include Marina V. Sysoeva, Gilles van Luijtelaar, В. И. Пономаренко, Б. П. Безручко, М. Д. Прохоров, Annika Lüttjohann, Evgenia Sitnikova, Д. А. Смирнов, G.D. Kuznetsova and Clementina M. van Rijn and has published in prestigious journals such as PLoS ONE, Neuroscience and Experimental Neurology.

In The Last Decade

Ilya V. Sysoev

71 papers receiving 518 citations

Peers

Ilya V. Sysoev
Simona Olmi Italy
Sou Nobukawa Japan
Marina V. Sysoeva Russia
Nicolás Rubido Uruguay
Teruya Yamanishi Japan
А. А. Овчинников Russia
Felix Siebenhühner Finland
J. Arnhold Germany
Shivkumar Sabesan United States
Bruno Cessac France
Simona Olmi Italy
Ilya V. Sysoev
Citations per year, relative to Ilya V. Sysoev Ilya V. Sysoev (= 1×) peers Simona Olmi

Countries citing papers authored by Ilya V. Sysoev

Since Specialization
Citations

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

Fields of papers citing papers by Ilya V. Sysoev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya V. Sysoev

This figure shows the co-authorship network connecting the top 25 collaborators of Ilya V. Sysoev. A scholar is included among the top collaborators of Ilya V. Sysoev 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 Ilya V. Sysoev. Ilya V. Sysoev 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.
Smirnova, Maria, et al.. (2024). Transient destabilization of interhemispheric functional connectivity induced by spreading depolarization. Network Neuroscience. 8(4). 1383–1399.
2.
Sysoeva, Marina V., et al.. (2024). Hardware implementation of the ring generator with tunable frequency based on electronic neurons. Nonlinear Dynamics. 112(13). 11471–11481. 2 indexed citations
3.
Пономаренко, В. И., et al.. (2023). Development of a new FitzHugh–Nagumo type simplified electronic neuron. 267–269.
4.
Sysoev, Ilya V., et al.. (2023). Mathematical Model of a Main Rhythm in Limbic Seizures. Mathematics. 11(5). 1233–1233. 1 indexed citations
5.
Sysoeva, Marina V., et al.. (2023). Intracortical functional connectivity dynamics induced by reflex seizures. Experimental Neurology. 368. 114480–114480. 3 indexed citations
6.
Sysoeva, Marina V., et al.. (2022). Reconstruction of integrated equations of periodically driven phase-locked loop system from scalar time series. Izvestiya VUZ Applied Nonlinear Dynamics. 30(4). 391–410.
7.
Sysoev, Ilya V., Gilles van Luijtelaar, & Annika Lüttjohann. (2021). Thalamo-Cortical and Thalamo-Thalamic Coupling During Sleep and Wakefulness in Rats. Brain Connectivity. 12(7). 650–659. 11 indexed citations
8.
Sysoeva, Marina V., et al.. (2020). Estimating complexity of spike-wave discharges with largest Lyapunov exponent in computational models and experimental data. AIMS Biophysics. 7(2). 65–75. 3 indexed citations
9.
Kapustnikov, A.A., Marina V. Sysoeva, & Ilya V. Sysoev. (2020). The Modeling of Spike-Wave Discharges in Brain with Small Oscillatory Neural Networks. Mathematical Biology and Bioinformatics. 15(2). 138–147. 6 indexed citations
10.
Sysoeva, Marina V., et al.. (2019). Revealing changes in directed interstructural couplings at limbic seizures, induced by injection of CB1 receptor antagonist using nonlinear Granger causality method. Журнал высшей нервной деятельности им И П Павлова. 69. 752–767.
11.
12.
Zobeiri, Mehrnoush, Gilles van Luijtelaar, Thomas Budde, & Ilya V. Sysoev. (2018). The Brain Network in a Model of Thalamocortical Dysrhythmia. Brain Connectivity. 9(3). 273–284. 17 indexed citations
13.
Прохоров, М. Д., В. И. Пономаренко, & Ilya V. Sysoev. (2017). RECONSTRUCTION OF UNIDIRECTIONALLY COUPLED TIME-DELAYED SYSTEMS OF FIRST ORDER FROM TIME SERIES OF THE DRIVEN SYSTEM. Izvestiya VUZ Applied Nonlinear Dynamics. 25(1). 84–93. 2 indexed citations
14.
Sysoeva, Marina V., et al.. (2017). Modeling spike-wave discharges by a complex network of neuronal oscillators. Neural Networks. 98. 271–282. 23 indexed citations
15.
Sysoev, Ilya V., et al.. (2016). Recovery of couplings and parameters of elements in networks of time-delay systems from time series. Physical review. E. 94(5). 52207–52207. 27 indexed citations
16.
Sysoeva, Marina V., Lyudmila V. Vinogradova, G.D. Kuznetsova, Ilya V. Sysoev, & Clementina M. van Rijn. (2016). Changes in corticocortical and corticohippocampal network during absence seizures in WAG/Rij rats revealed with time varying Granger causality. Epilepsy & Behavior. 64(Pt A). 44–50. 21 indexed citations
17.
Sysoeva, Marina V., Annika Lüttjohann, Gilles van Luijtelaar, & Ilya V. Sysoev. (2015). Dynamics of directional coupling underlying spike-wave discharges. Neuroscience. 314. 75–89. 48 indexed citations
18.
19.
Sysoev, Ilya V., М. Д. Прохоров, В. И. Пономаренко, & Б. П. Безручко. (2014). Reconstruction of ensembles of coupled time-delay systems from time series. Physical Review E. 89(6). 62911–62911. 27 indexed citations
20.
Безручко, Б. П., et al.. (2002). Special approaches to global reconstruction of equations from time series. Izvestiya VUZ Applied Nonlinear Dynamics. 10(3). 137–158. 1 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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