Igor Labutov

17 papers and 419 indexed citations i.

About

Igor Labutov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Igor Labutov has authored 17 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Science Applications. Recurrent topics in Igor Labutov’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). Igor Labutov is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). Igor Labutov collaborates with scholars based in United States, Israel and China. Igor Labutov's co-authors include Thorsten Joachims, Tobias Schnabel, David Mimno, Hod Lipson, Shashank Srivastava, Daqing He, Peter Brusilovsky, Yun Huang, Jizhong Xiao and Christoph Studer and has published in prestigious journals such as Machine Vision and Applications, Autonomous Agents and Multi-Agent Systems and International Journal of Artificial Intelligence in Education.

In The Last Decade

Co-authorship network of co-authors of Igor Labutov i

Fields of papers citing papers by Igor Labutov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Igor Labutov

Since Specialization
Citations

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