Nikita Kitaev

About

Nikita Kitaev is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Nikita Kitaev has authored 9 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Nikita Kitaev’s work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (3 papers). Nikita Kitaev is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (3 papers). Nikita Kitaev collaborates with scholars based in United States, Israel and South Korea. Nikita Kitaev's co-authors include Dan Klein, Łukasz Kaiser, Anselm Levskaya, Sagar Karandikar, David Culler, Gabe Fierro, Andrew Krioukov, Jay Taneja, Stephen Dawson-Haggerty and Yuandong Tian and has published in prestigious journals such as Networked Systems Design and Implementation, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Nikita Kitaev i

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Fields of papers citing papers by Nikita Kitaev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nikita Kitaev

Since Specialization

Citations

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