Alexey Kuznetsov

85 total papers · 742 total citations
44 papers, 516 citations indexed

About

Alexey Kuznetsov is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Alexey Kuznetsov has authored 44 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 22 papers in Cognitive Neuroscience and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Alexey Kuznetsov's work include Neural dynamics and brain function (21 papers), Neuroscience and Neuropharmacology Research (12 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Alexey Kuznetsov is often cited by papers focused on Neural dynamics and brain function (21 papers), Neuroscience and Neuropharmacology Research (12 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Alexey Kuznetsov collaborates with scholars based in United States, Russia and France. Alexey Kuznetsov's co-authors include Nancy Kopell, Mads Kærn, Charles J. Wilson, Andrey Dovzhenok, Boris Gutkin, Christopher C. Lapish, Carmen C. Canavier, Joon Ha, Carlos A. Paladini and Marco A. Huertas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Alexey Kuznetsov

37 papers receiving 497 citations

Author Peers

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

Author Last Decade Papers Cites
Alexey Kuznetsov 238 209 183 150 138 44 516
Sten Rüdiger 206 0.9× 131 0.6× 100 0.5× 92 0.6× 70 0.5× 26 468
Yulia Timofeeva 252 1.1× 270 1.3× 155 0.8× 107 0.7× 66 0.5× 28 510
Robert A. Spangler 259 1.1× 131 0.6× 46 0.3× 82 0.5× 59 0.4× 30 537
Rodrigo F. Oliveira 191 0.8× 220 1.1× 242 1.3× 49 0.3× 22 0.2× 31 533
Richard L. Purple 209 0.9× 263 1.3× 210 1.1× 56 0.4× 29 0.2× 27 575
Evgenii Volkov 163 0.7× 50 0.2× 83 0.5× 263 1.8× 394 2.9× 14 527
Kunichika Tsumoto 180 0.8× 102 0.5× 242 1.3× 290 1.9× 201 1.5× 30 577
Emma K. Towlson 120 0.5× 93 0.4× 274 1.5× 90 0.6× 37 0.3× 10 559
Rita Guttman 105 0.4× 272 1.3× 286 1.6× 198 1.3× 132 1.0× 20 520
Eyal Hulata 55 0.2× 245 1.2× 351 1.9× 101 0.7× 45 0.3× 12 550

Countries citing papers authored by Alexey Kuznetsov

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Kuznetsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Kuznetsov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Kuznetsov. A scholar is included among the top collaborators of Alexey Kuznetsov 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 Alexey Kuznetsov. Alexey Kuznetsov 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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