Sergey Pakhomov

40 total papers · 1.1k total citations
27 papers, 806 citations indexed

About

Sergey Pakhomov is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Sergey Pakhomov has authored 27 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 11 papers in Experimental and Cognitive Psychology and 6 papers in Artificial Intelligence. Recurrent topics in Sergey Pakhomov's work include Neural and Behavioral Psychology Studies (5 papers), Neurobiology of Language and Bilingualism (5 papers) and Multisensory perception and integration (5 papers). Sergey Pakhomov is often cited by papers focused on Neural and Behavioral Psychology Studies (5 papers), Neurobiology of Language and Bilingualism (5 papers) and Multisensory perception and integration (5 papers). Sergey Pakhomov collaborates with scholars based in Russia, Sweden and Finland. Sergey Pakhomov's co-authors include С. В. Медведев, Marina Roudas, M. G. Starchenko, Kimmo Alho, Mari Tervaniemi, Titia L. van Zuijen, Alexander Korotkov, N.P. Bechtereva, Miloš Ljubisavljević and Johan Thunberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Brain Research.

In The Last Decade

Sergey Pakhomov

25 papers receiving 770 citations

Author Peers

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

Author Last Decade Papers Cites
Sergey Pakhomov 566 285 106 88 64 27 806
Aneta Brzezicka 753 1.3× 237 0.8× 76 0.7× 37 0.4× 35 0.5× 49 1.0k
Giacomo Handjaras 753 1.3× 216 0.8× 132 1.2× 25 0.3× 39 0.6× 56 941
Jiongjiong Yang 459 0.8× 93 0.3× 111 1.0× 33 0.4× 48 0.8× 50 832
Tao Wang 226 0.4× 131 0.5× 112 1.1× 31 0.4× 67 1.0× 47 723
Erick J. Paul 462 0.8× 189 0.7× 79 0.7× 36 0.4× 32 0.5× 26 818
Chrysa Lithari 509 0.9× 276 1.0× 106 1.0× 35 0.4× 30 0.5× 21 773
W. Lutzenberger 823 1.5× 184 0.6× 62 0.6× 35 0.4× 26 0.4× 37 997
Hideaki Tanaka 837 1.5× 122 0.4× 45 0.4× 19 0.2× 48 0.8× 36 1.0k
Makoto Ito 656 1.2× 85 0.3× 72 0.7× 34 0.4× 94 1.5× 29 1.0k
Zhenlan Jin 626 1.1× 147 0.5× 99 0.9× 50 0.6× 23 0.4× 65 960

Countries citing papers authored by Sergey Pakhomov

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Pakhomov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Pakhomov

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