Sergey V. Stasenko

76 total papers · 559 total citations
36 papers, 285 citations indexed

About

Sergey V. Stasenko is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Sergey V. Stasenko has authored 36 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 19 papers in Cellular and Molecular Neuroscience and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Sergey V. Stasenko's work include Neural dynamics and brain function (23 papers), Neuroscience and Neuropharmacology Research (13 papers) and stochastic dynamics and bifurcation (8 papers). Sergey V. Stasenko is often cited by papers focused on Neural dynamics and brain function (23 papers), Neuroscience and Neuropharmacology Research (13 papers) and stochastic dynamics and bifurcation (8 papers). Sergey V. Stasenko collaborates with scholars based in Russia, France and Germany. Sergey V. Stasenko's co-authors include Victor Kazantsev, Alexander Dityatev, Susanna Gordleeva, Evgeniya V. Pankratova, Alexey Semyanov, Alena Kalyakulina, Alexander E. Hramov, Alexey Mikhaylov, Evgeny M. Mirkes and Andreï Zinovyev and has published in prestigious journals such as PLoS ONE, Scientific Reports and Sensors.

In The Last Decade

Sergey V. Stasenko

30 papers receiving 283 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sergey V. Stasenko	189	163	77	64	37	36	285
Innokentiy Kastalskiy	163 0.9×	149 0.9×	70 0.9×	19 0.3×	34 0.9×	33	316
Fleur Zeldenrust	209 1.1×	155 1.0×	105 1.4×	32 0.5×	12 0.3×	19	276
Alla Borisyuk	170 0.9×	120 0.7×	23 0.3×	92 1.4×	22 0.6×	27	311
Ivan Raikov	226 1.2×	175 1.1×	43 0.6×	16 0.3×	36 1.0×	22	290
Sukbin Lim	265 1.4×	138 0.8×	85 1.1×	42 0.7×	14 0.4×	14	303
Yann Zerlaut	221 1.2×	126 0.8×	35 0.5×	44 0.7×	7 0.2×	16	253
Damien Depannemaecker	177 0.9×	90 0.6×	39 0.5×	37 0.6×	12 0.3×	24	232
Claude Meunier	189 1.0×	178 1.1×	26 0.3×	97 1.5×	8 0.2×	11	307
Milad Lankarany	169 0.9×	142 0.9×	61 0.8×	33 0.5×	19 0.5×	43	301
Antonio Pazienti	249 1.3×	182 1.1×	15 0.2×	32 0.5×	20 0.5×	13	307

Countries citing papers authored by Sergey V. Stasenko

Since Specialization

Citations

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

Fields of papers citing papers by Sergey V. Stasenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey V. Stasenko. 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 Sergey V. Stasenko. The network helps show where Sergey V. Stasenko may publish in the future.

Co-authorship network of co-authors of Sergey V. Stasenko

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey V. Stasenko. A scholar is included among the top collaborators of Sergey V. Stasenko 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 Sergey V. Stasenko. Sergey V. Stasenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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