Karol Hausman

28 papers and 684 indexed citations i.

About

Karol Hausman is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Karol Hausman has authored 28 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Control and Systems Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Karol Hausman’s work include Reinforcement Learning in Robotics (18 papers), Robot Manipulation and Learning (12 papers) and Robotic Path Planning Algorithms (7 papers). Karol Hausman is often cited by papers focused on Reinforcement Learning in Robotics (18 papers), Robot Manipulation and Learning (12 papers) and Robotic Path Planning Algorithms (7 papers). Karol Hausman collaborates with scholars based in United States, Germany and Austria. Karol Hausman's co-authors include Gaurav S. Sukhatme, Stefan Schaal, Yevgen Chebotar, Jeannette Bohg, Danica Kragić, Oliver Brock, Bharath Sankaran, Brian Ichter, Sergey Levine and Fei Xia and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Karol Hausman i

Fields of papers citing papers by Karol Hausman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Karol Hausman

Since Specialization
Citations

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