Nikolay Bogoychev

46 total papers · 1.2k total citations
20 papers, 137 citations indexed

About

Nikolay Bogoychev is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Nikolay Bogoychev has authored 20 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Social Psychology. Recurrent topics in Nikolay Bogoychev's work include Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Speech Recognition and Synthesis (4 papers). Nikolay Bogoychev is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Speech Recognition and Synthesis (4 papers). Nikolay Bogoychev collaborates with scholars based in United Kingdom, United States and Czechia. Nikolay Bogoychev's co-authors include Kenneth Heafield, Alham Fikri Aji, Rico Sennrich, Marcin Junczys-Dowmunt, Roman Grundkiewicz, Hany Hassan, Young Jin Kim, Barry Haddow, Abeer Aldayel and Ramon Sanabria and has published in prestigious journals such as Baltic Journal of Modern Computing, Edinburgh Research Explorer (University of Edinburgh) and Zurich Open Repository and Archive (University of Zurich).

In The Last Decade

Nikolay Bogoychev

19 papers receiving 125 citations

Author Peers

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

Author Last Decade Papers Cites
Nikolay Bogoychev 124 39 8 7 6 20 137
Aditya Mogadala 108 0.9× 53 1.4× 3 0.4× 6 0.9× 7 1.2× 14 151
Saad Mahamood 181 1.5× 31 0.8× 12 1.5× 22 3.1× 18 3.0× 17 221
Chloé Braud 141 1.1× 31 0.8× 3 0.4× 6 0.9× 14 2.3× 11 155
Khyathi Raghavi Chandu 108 0.9× 30 0.8× 9 1.1× 3 0.4× 10 1.7× 22 127
Tagyoung Chung 221 1.8× 38 1.0× 15 1.9× 6 0.9× 11 1.8× 22 236
Asahi Ushio 114 0.9× 45 1.2× 2 0.3× 5 0.7× 11 1.8× 16 154
Fabrice Muhlenbach 97 0.8× 38 1.0× 13 1.6× 4 0.6× 12 2.0× 14 139
Liunian Harold Li 177 1.4× 111 2.8× 6 0.8× 4 0.6× 8 1.3× 11 220
Yunlong Liang 201 1.6× 28 0.7× 21 2.6× 7 1.0× 14 2.3× 14 256
Tong Niu 197 1.6× 43 1.1× 2 0.3× 6 0.9× 13 2.2× 14 217

Countries citing papers authored by Nikolay Bogoychev

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay Bogoychev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay Bogoychev

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