Maxim Komarov

24 papers and 446 indexed citations i.

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 24 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 14 papers in Computer Networks and Communications and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Maxim Komarov’s work include Neural dynamics and brain function (19 papers), Nonlinear Dynamics and Pattern Formation (14 papers) and stochastic dynamics and bifurcation (8 papers). Maxim Komarov is often cited by papers focused on Neural dynamics and brain function (19 papers), Nonlinear Dynamics and Pattern Formation (14 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, Г. В. Осипов, Johan A. K. Suykens, Maxim Bazhenov, Giri P. Krishnan, Yina Wei, Shamik Gupta, Д. В. Баландин, M. I. Rabinovich and Changsong Zhou and has published in prestigious journals such as Physical Review Letters, Journal of Neurophysiology and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Maxim Komarov i

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.

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).

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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2025