Alexander Silchenko

1.1k citations
31 papers · 836 · h-index 14

Impact in

Papers in

Alexander Silchenko

30 papers receiving 824 citations

Peers

Alexander Silchenko
Comparison fields: 5 of 71
  • Statistical and Nonlinear Physics 377
  • Cognitive Neuroscience 291
  • Neurology 189
  • Cellular and Molecular Neuroscience 245
  • Computer Networks and Communications 274
Replace Matthäus Staniek with:
Matthäus Staniek Germany
John R. Cressman United States
Axel Hutt France
Markus A. Dahlem Germany
Germán Mato Argentina
Jean‐Christophe Comte France
Honghui Zhang China
Sonya Bahar United States
Paul So United States
Dmitry E. Postnov Russia
Alexander Silchenko relative to Matthäus Staniek Germany Matthäus Staniek's profile →
Citations per field
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Matthäus Staniek · 1×
Citations per year

Countries citing papers authored by Alexander Silchenko

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Silchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alexander Silchenko, 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 Alexander Silchenko Line = papers co-authored together Alexander Silchenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014161
2 1998132
3 200975
4 200155
5 200552
6 199949
7 200746
8 200445
9 201344
10 199843
11 201024
12 200321
13 200118
14 200513
15 20039
16 20088
17 20038
18 20214
19 20194
20 20234

About Alexander Silchenko

Alexander Silchenko is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 31 papers that have together received 836 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (13 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Chaos control and synchronization (7 papers), Neural dynamics and brain function (6 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Quantum chaos and dynamical systems (4 papers), Neuroscience and Neural Engineering (4 papers) and Oceanographic and Atmospheric Processes (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (377 citations), Cognitive Neuroscience (291 citations), Neurology (189 citations), Cellular and Molecular Neuroscience (245 citations) and Computer Networks and Communications (274 citations). Alexander Silchenko has collaborated with scholars based in United Kingdom, Russia and Germany. Frequent co-authors include Peter A. Tass, В. С. Анищенко, Christian Hauptmann, Alexander Neiman, P. V. E. McClintock, Lutz Schimansky-Geier, Chin‐Kun Hu, Utako Birgit Barnikol, Ilya Adamchic and D. G. Luchinsky. Their work appears in journals such as Journal of Low Temperature Physics, Journal of Forensic Sciences, Physical Review Letters, Scientific Reports and International Journal of Bifurcation and Chaos.

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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