Dmitry E. Postnov

103 papers receiving 2.0k citations

Peers

Dmitry E. Postnov
Comparison fields: 5 of 109
  • Statistical and Nonlinear Physics 1.1k
  • Computer Networks and Communications 1.1k
  • Cognitive Neuroscience 650
  • Cellular and Molecular Neuroscience 422
  • Neurology 107
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Bruce J. Gluckman United States
Mathieu Desroches France
Mukeshwar Dhamala United States
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Vladimir I. Nekorkin Russia
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Shigeru Shinomoto Japan
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Р. Р. Алиев Russia
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Citations per year

Countries citing papers authored by Dmitry E. Postnov

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry E. Postnov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry E. Postnov. 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 Dmitry E. Postnov. The network helps show where Dmitry E. Postnov may publish in the future.

Co-authors

The 25 scholars most cited alongside Dmitry E. Postnov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dmitry E. Postnov Line = papers co-authored together Dmitry E. Postnov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008274
2 2002183
3 1992157
4 1999120
5 2002117
6 2009113
7 1999100
8 200686
9 201178
10 199949
11 202040
12 199939
13 200235
14 201834
15 201831
16 201627
17 202125
18 200125
19 201223
20 199921

About Dmitry E. Postnov

Dmitry E. Postnov is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 108 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (49 papers), Neural dynamics and brain function (40 papers), stochastic dynamics and bifurcation (33 papers), Neuroscience and Neuropharmacology Research (14 papers), Photoreceptor and optogenetics research (13 papers), Chaos control and synchronization (12 papers), Cerebrospinal fluid and hydrocephalus (10 papers) and Thermoregulation and physiological responses (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Computer Networks and Communications (1.1k citations), Cognitive Neuroscience (650 citations), Cellular and Molecular Neuroscience (422 citations) and Neurology (107 citations). Dmitry E. Postnov has collaborated with scholars based in Russia, Denmark and Germany. Frequent co-authors include Olga Sosnovtseva, Erik Mosekilde, Yuri Maistrenko, A. G. Balanov, Seung Kee Han, Natalia Janson, В. С. Анищенко, Т. Е. Вадивасова, Alexey Brazhe and M. A. Safonova. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, The European Physical Journal Special Topics, International Journal of Molecular Sciences, International Journal of Bifurcation and Chaos and Bulletin of Mathematical Biology.

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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