Yevgen Chebotar

16 papers and 997 indexed citations i.

About

Yevgen Chebotar is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yevgen Chebotar has authored 16 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yevgen Chebotar’s work include Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (7 papers) and Multimodal Machine Learning Applications (4 papers). Yevgen Chebotar is often cited by papers focused on Robot Manipulation and Learning (9 papers), Reinforcement Learning in Robotics (7 papers) and Multimodal Machine Learning Applications (4 papers). Yevgen Chebotar collaborates with scholars based in United States, Germany and Israel. Yevgen Chebotar's co-authors include Sergey Levine, Stefan Schaal, Austin Waters, Pierre Sermanet, Jasmine Hsu, Eric Jang, Corey Lynch, Ankur Handa, Nathan Ratliff and Dieter Fox and has published in prestigious journals such as The International Journal of Robotics Research, arXiv (Cornell University) and neural information processing systems.

In The Last Decade

Co-authorship network of co-authors of Yevgen Chebotar i

Fields of papers citing papers by Yevgen Chebotar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yevgen Chebotar

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025