Sergey Edunov

18 papers and 3.8k indexed citations i.

About

Sergey Edunov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sergey Edunov has authored 18 papers receiving a total of 3.8k 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 3 papers in Information Systems. Recurrent topics in Sergey Edunov’s work include Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Speech Recognition and Synthesis (7 papers). Sergey Edunov is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Speech Recognition and Synthesis (7 papers). Sergey Edunov collaborates with scholars based in United States, Israel and China. Sergey Edunov's co-authors include Michael Auli, Myle Ott, David Grangier, Alexei Baevski, Nathan Ng, Angela Fan, Sam Gross, Danqi Chen, Vladimir Karpukhin and Ledell Wu and has published in prestigious journals such as Journal of Machine Learning Research, Proceedings of the VLDB Endowment and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Co-authorship network of co-authors of Sergey Edunov i

Fields of papers citing papers by Sergey Edunov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sergey Edunov

Since Specialization
Citations

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

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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