Aliaksei Severyn

69 total papers · 4.8k total citations
29 papers, 1.9k citations indexed

About

Aliaksei Severyn is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aliaksei Severyn has authored 29 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aliaksei Severyn's work include Topic Modeling (28 papers), Natural Language Processing Techniques (22 papers) and Advanced Text Analysis Techniques (8 papers). Aliaksei Severyn is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (22 papers) and Advanced Text Analysis Techniques (8 papers). Aliaksei Severyn collaborates with scholars based in Italy, United States and Qatar. Aliaksei Severyn's co-authors include Alessandro Moschitti, Erhardt Barth, Stanislau Semeniuta, W. Bruce Croft, Mostafa Dehghani, Jaap Kamps, Hamed Zamani, Eric Malmi, Olga Uryupina and Barbara Plank and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Processing & Management and Data Mining and Knowledge Discovery.

In The Last Decade

Aliaksei Severyn

28 papers receiving 1.8k citations

Hit Papers

Learning to Rank Short Te... 2015 2026 2018 2022 2015 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Aliaksei Severyn 1.6k 505 288 106 80 29 1.9k
Noah Constant 2.0k 1.2× 269 0.5× 447 1.6× 121 1.1× 80 1.0× 22 2.4k
Vibhu O. Mittal 1.8k 1.1× 613 1.2× 193 0.7× 74 0.7× 78 1.0× 34 2.0k
Dani Yogatama 1.9k 1.2× 315 0.6× 223 0.8× 132 1.2× 63 0.8× 30 2.2k
Mohammad Ehsan Basiri 1.4k 0.9× 302 0.6× 213 0.7× 218 2.1× 80 1.0× 35 1.9k
Mohit Iyyer 1.8k 1.1× 239 0.5× 420 1.5× 121 1.1× 55 0.7× 61 2.0k
Michael Heilman 2.4k 1.4× 528 1.0× 252 0.9× 144 1.4× 44 0.6× 40 2.9k
Alper Kürşat Uysal 1.1k 0.7× 611 1.2× 186 0.6× 85 0.8× 97 1.2× 29 1.8k
Yinfei Yang 1.8k 1.1× 312 0.6× 751 2.6× 192 1.8× 89 1.1× 37 2.4k
Andrea Madotto 1.6k 1.0× 208 0.4× 272 0.9× 132 1.2× 70 0.9× 42 2.3k
Hiroaki Hayashi 1.5k 0.9× 332 0.7× 416 1.4× 74 0.7× 84 1.1× 19 2.2k

Countries citing papers authored by Aliaksei Severyn

Since Specialization
Citations

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

Fields of papers citing papers by Aliaksei Severyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aliaksei Severyn

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