Maxim Komarov

594 total citations
21 papers, 385 citations indexed

About

Maxim Komarov is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Maxim Komarov has authored 21 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 11 papers in Computer Networks and Communications and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Maxim Komarov's work include Neural dynamics and brain function (17 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and stochastic dynamics and bifurcation (8 papers). Maxim Komarov is often cited by papers focused on Neural dynamics and brain function (17 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and stochastic dynamics and bifurcation (8 papers). Maxim Komarov collaborates with scholars based in Russia, United States and Germany. Maxim Komarov's co-authors include Arkady Pikovsky, Grigory V. Osipov, Maxim Bazhenov, Johan A. K. Suykens, Giri P. Krishnan, Yina Wei, Д. В. Баландин, M. I. Rabinovich, Changsong Zhou and Paola Malerba and has published in prestigious journals such as Physical Review Letters, Journal of Neurophysiology and PLoS Computational Biology.

In The Last Decade

Maxim Komarov

21 papers receiving 373 citations

Peers

Maxim Komarov

CNC

SNP

CMN

Björn Kralemann Germany

Takeaki Shimokawa Japan

Nicolás Rubido Uruguay

Lucia Zemanová Germany

Yakov Kazanovich Russia

Kevin Dolan Germany

Rico Berner Germany

Ricardo Oliva United States

Mahesh Wickramasinghe United States

Nigel Stepp United States

Björn Kralemann Germany

Maxim Komarov

293 ×1.3

279 ×1.4

CNC

153 ×1.3

SNP

69 ×1.0

60 ×1.1

CMN

Citations per year, relative to Maxim Komarov Maxim Komarov (= 1×) peers Björn Kralemann

Countries citing papers authored by Maxim Komarov

Since Specialization

Citations

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

Fields of papers citing papers by Maxim Komarov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Komarov

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Komarov. A scholar is included among the top collaborators of Maxim Komarov 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 Maxim Komarov. Maxim Komarov 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

Komarov, Maxim, et al.. (2019). Selective recruitment of cortical neurons by electrical stimulation. PLoS Computational Biology. 15(8). e1007277–e1007277. 18 indexed citations

Komarov, Maxim, Giri P. Krishnan, Atul Malhotra, et al.. (2018). Computational model of brain-stem circuit for state-dependent control of hypoglossal motoneurons. Journal of Neurophysiology. 120(1). 296–305. 4 indexed citations

Rosen, Burke Q., Giri P. Krishnan, Maxim Komarov, et al.. (2018). Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics. Journal of Neuroscience Methods. 316. 46–57. 6 indexed citations

Wei, Yina, Giri P. Krishnan, Maxim Komarov, & Maxim Bazhenov. (2018). Differential roles of sleep spindles and sleep slow oscillations in memory consolidation. PLoS Computational Biology. 14(7). e1006322–e1006322. 53 indexed citations

Komarov, Maxim, Giri P. Krishnan, Sylvain Chauvette, et al.. (2017). New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics. Journal of Computational Neuroscience. 44(1). 1–24. 15 indexed citations

Komarov, Maxim & Maxim Bazhenov. (2016). Linking dynamics of the inhibitory network to the input structure. Journal of Computational Neuroscience. 41(3). 367–391. 1 indexed citations

Komarov, Maxim & Arkady Pikovsky. (2015). Finite-size-induced transitions to synchrony in oscillator ensembles with nonlinear global coupling. Physical Review E. 92(2). 20901–20901. 28 indexed citations

Osipov, Grigory V., et al.. (2015). Mixed-mode synchronization between two inhibitory neurons with post-inhibitory rebound. Communications in Nonlinear Science and Numerical Simulation. 36. 175–191. 13 indexed citations

Komarov, Maxim & Arkady Pikovsky. (2014). The Kuramoto model of coupled oscillators with a bi-harmonic coupling function. Physica D Nonlinear Phenomena. 289. 18–31. 30 indexed citations

10.

Komarov, Maxim & Arkady Pikovsky. (2013). Multiplicity of Singular Synchronous States in the Kuramoto Model of Coupled Oscillators. Physical Review Letters. 111(20). 204101–204101. 52 indexed citations

11.

Komarov, Maxim & Arkady Pikovsky. (2013). Dynamics of Multifrequency Oscillator Communities. Physical Review Letters. 110(13). 134101–134101. 22 indexed citations

12.

Komarov, Maxim, Grigory V. Osipov, & Changsong Zhou. (2013). Heteroclinic contours in oscillatory ensembles. Physical Review E. 87(2). 22909–22909. 11 indexed citations

13.

Баландин, Д. В., Maxim Komarov, & Grigory V. Osipov. (2013). A motion control for a spherical robot with pendulum drive. Journal of Computer and Systems Sciences International. 52(4). 650–663. 22 indexed citations

14.

Komarov, Maxim, et al.. (2013). Sequential switching activity in ensembles of inhibitory coupled oscillators. Europhysics Letters (EPL). 101(2). 20009–20009. 8 indexed citations

15.

Komarov, Maxim & Arkady Pikovsky. (2011). Effects of nonresonant interaction in ensembles of phase oscillators. Physical Review E. 84(1). 16210–16210. 21 indexed citations

16.

Komarov, Maxim, Grigory V. Osipov, & Mikhail Burtsev. (2010). Adaptive functional systems: Learning with chaos. Chaos An Interdisciplinary Journal of Nonlinear Science. 20(4). 45119–45119. 10 indexed citations

17.

Komarov, Maxim, Grigory V. Osipov, & Johan A. K. Suykens. (2010). Metastable states and transient activity in ensembles of excitatory and inhibitory elements. Europhysics Letters (EPL). 91(2). 20006–20006. 9 indexed citations

18.

Komarov, Maxim, Grigory V. Osipov, & Johan A. K. Suykens. (2009). Sequentially activated groups in neural networks. Europhysics Letters (EPL). 86(6). 60006–60006. 21 indexed citations

19.

Komarov, Maxim, Grigory V. Osipov, Johan A. K. Suykens, & M. I. Rabinovich. (2009). Numerical studies of slow rhythms emergence in neural microcircuits: Bifurcations and stability. Chaos An Interdisciplinary Journal of Nonlinear Science. 19(1). 19 indexed citations

20.

Komarov, Maxim, Grigory V. Osipov, & Johan A. K. Suykens. (2008). Variety of synchronous regimes in neuronal ensembles. Chaos An Interdisciplinary Journal of Nonlinear Science. 18(3). 37121–37121. 15 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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