Dmitry E. Postnov

2.8k citations
107 papers · 2.0k · h-index 21

Impact in

Papers in

Dmitry E. Postnov

103 papers receiving 1.9k citations

Peers

Dmitry E. Postnov
Comparison fields: 5 of 102
  • Statistical and Nonlinear Physics 1.1k
  • Computer Networks and Communications 1.1k
  • Cognitive Neuroscience 643
  • Cellular and Molecular Neuroscience 425
  • Neurology 106
Replace Bruce J. Gluckman with:
Bruce J. Gluckman United States
Mukeshwar Dhamala United States
Horacio G. Rotstein United States
Mathieu Desroches France
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Mikhail Ivanchenko Russia
Alvin Shrier Canada
D. Hansel France
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 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008272
2 2002183
3 1992158
4 1999122
5 2002118
6 2009113
7 1999101
8 200687
9 199950
10 202041
11 199939
12 201835
13 200235
14 201831
15 201628
16 200125
17 202125
18 201224
19 200721
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 Radiology, Nuclear Medicine and Imaging, having authored 107 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 Advanced Thermodynamics and Statistical Mechanics (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 (643 citations), Cellular and Molecular Neuroscience (425 citations) and Neurology (106 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, International Journal of Molecular Sciences, Bulletin of Mathematical Biology, International Journal of Bifurcation and Chaos and The European Physical Journal Special Topics.

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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