Karol Hausman

122 total papers · 5.1k total citations
33 papers, 1.0k citations indexed

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 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 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 (15 papers), Robot Manipulation and Learning (11 papers) and Robotics and Sensor-Based Localization (11 papers). Karol Hausman is often cited by papers focused on Reinforcement Learning in Robotics (15 papers), Robot Manipulation and Learning (11 papers) and Robotics and Sensor-Based Localization (11 papers). Karol Hausman collaborates with scholars based in United States, Germany and Austria. Karol Hausman's co-authors include Gaurav S. Sukhatme, Yevgen Chebotar, Stefan Schaal, Brian Ichter, Fei Xia, Peng Xu, Jacky Liang, Wenlong Huang, Andy Zeng and Pete Florence and has published in prestigious journals such as The International Journal of Robotics Research, arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Karol Hausman

32 papers receiving 977 citations

Hit Papers

Code as Policies: Languag... 2023 2026 2024 2023 2024 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Karol Hausman 427 420 347 211 176 33 1.0k
Lerrel Pinto 474 1.1× 756 1.8× 399 1.1× 340 1.6× 197 1.1× 35 1.2k
Jürgen Leitner 369 0.9× 619 1.5× 373 1.1× 336 1.6× 168 1.0× 63 1.2k
Adham Atyabi 296 0.7× 218 0.5× 321 0.9× 153 0.7× 123 0.7× 44 1.1k
Herke van Hoof 534 1.3× 423 1.0× 168 0.5× 210 1.0× 53 0.3× 36 1.0k
Jakub Pachocki 526 1.2× 523 1.2× 233 0.7× 263 1.2× 54 0.3× 13 1.1k
Alberto Finzi 351 0.8× 271 0.6× 247 0.7× 72 0.3× 160 0.9× 68 838
Marc Freese 211 0.5× 466 1.1× 378 1.1× 252 1.2× 190 1.1× 12 1000
Yevgen Chebotar 447 1.0× 368 0.9× 275 0.8× 261 1.2× 40 0.2× 15 926
Parham M. Kebria 309 0.7× 348 0.8× 172 0.5× 146 0.7× 65 0.4× 48 1.1k
Scott Niekum 468 1.1× 524 1.2× 238 0.7× 125 0.6× 59 0.3× 44 892

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).

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.

Co-authorship network of co-authors of Karol Hausman

This figure shows the co-authorship network connecting the top 25 collaborators of Karol Hausman. A scholar is included among the top collaborators of Karol Hausman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karol Hausman. Karol Hausman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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