Evgeny Kotelnikov

62 total papers · 1.5k total citations
24 papers, 925 citations indexed

About

Evgeny Kotelnikov is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Evgeny Kotelnikov has authored 24 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 7 papers in Information Systems and 2 papers in Computational Theory and Mathematics. Recurrent topics in Evgeny Kotelnikov's work include Sentiment Analysis and Opinion Mining (16 papers), Advanced Text Analysis Techniques (14 papers) and Topic Modeling (14 papers). Evgeny Kotelnikov is often cited by papers focused on Sentiment Analysis and Opinion Mining (16 papers), Advanced Text Analysis Techniques (14 papers) and Topic Modeling (14 papers). Evgeny Kotelnikov collaborates with scholars based in Russia, China and Greece. Evgeny Kotelnikov's co-authors include Natalia Loukachevitch, Marianna Apidianaki, Mahmoud Al‐Ayyoub, Mohammad AL-Smadi, Yanyan Zhao, Salud María Jiménez-Zafra, Gülşen Eryiğit, Orphée De Clercq, Haris Papageorgiou and Ion Androutsopoulos and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Physics Conference Series.

In The Last Decade

Evgeny Kotelnikov

22 papers receiving 870 citations

Hit Papers

SemEval-2016 Task 5: Aspe... 2016 2026 2019 2022 2016 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Evgeny Kotelnikov 894 105 68 25 21 24 925
Kang Liu 644 0.7× 147 1.4× 95 1.4× 25 1.0× 27 1.3× 28 824
Wenxuan Zhang 726 0.8× 134 1.3× 48 0.7× 21 0.8× 33 1.6× 51 838
Tony Mullen 704 0.8× 157 1.5× 70 1.0× 26 1.0× 28 1.3× 18 838
Kim Schouten 744 0.8× 179 1.7× 127 1.9× 25 1.0× 58 2.8× 22 881
Marianna Apidianaki 1.0k 1.2× 101 1.0× 60 0.9× 22 0.9× 24 1.1× 42 1.1k
Hang Su 833 0.9× 181 1.7× 80 1.2× 16 0.6× 37 1.8× 11 926
Mohammed N. Al‐Kabi 832 0.9× 364 3.5× 73 1.1× 20 0.8× 21 1.0× 54 1.1k
Marco Lui 693 0.8× 115 1.1× 76 1.1× 13 0.5× 12 0.6× 17 819
Maíra Gatti de Bayser 663 0.7× 161 1.5× 59 0.9× 31 1.2× 38 1.8× 20 803
Bharat Ram Ambati 674 0.8× 101 1.0× 45 0.7× 19 0.8× 31 1.5× 22 806

Countries citing papers authored by Evgeny Kotelnikov

Since Specialization
Citations

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

Fields of papers citing papers by Evgeny Kotelnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgeny Kotelnikov

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

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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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