Kris Hauser
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- Robotic Path Planning Algorithms 45
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning 43
- Robotic Mechanisms and Dynamics 24
- Health Informatics top 2%
- Human-Computer Interaction top 5%
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- Robotic Locomotion and Control 19
- Soft Robotics and Applications 16
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- Robotics and Sensor-Based Localization 17
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- Teleoperation and Haptic Systems 11
- Modular Robots and Swarm Intelligence 7
- Co-authors
- Casey C. BennettJean‐Claude LatombeVictor Ng‐Thow‐HingTimothy BretlJames F. O’BrienGao TangJingru LuoKen Goldberg
- Journals
- IEEE Transactions on Robotics (8 papers)The International Journal of Robotics Research (7 papers)IEEE Robotics and Automation Letters (6 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Kris Hauser
126 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Computer Vision and Pattern Recognition 1.4k
- Control and Systems Engineering 1.5k
- Health Informatics 69
- Computer Graphics and Computer-Aided Design 147
- Human-Computer Interaction 123
Countries citing papers authored by Kris Hauser
This map shows the geographic impact of Kris Hauser'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 Kris Hauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kris Hauser more than expected).
Fields of papers citing papers by Kris Hauser
This network shows the impact of papers produced by Kris Hauser. 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 Kris Hauser. The network helps show where Kris Hauser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kris Hauser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 32 | |
| 10 | 2020 | 42 | |
| 11 | 2018 | 40 | |
| 12 | 2018 | 9 | |
| 13 | 2017 | 61 | |
| 14 | Regulating Healthcare Robots: Maximizing Opportunities While Minimizing Risks | 2016 | 8 |
| 15 | 2014 | 13 | |
| 16 | 2012 | 29 | |
| 17 | 2012 | 224 | |
| 18 | 2009 | 21 | |
| 19 | 2009 | 53 | |
| 20 | 2003 | 100 |
About Kris Hauser
Kris Hauser is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 130 papers that have together received 3.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (45 papers), Robot Manipulation and Learning (43 papers), Robotic Mechanisms and Dynamics (24 papers), Robotic Locomotion and Control (19 papers), Robotics and Sensor-Based Localization (17 papers), Soft Robotics and Applications (16 papers), Teleoperation and Haptic Systems (11 papers) and Modular Robots and Swarm Intelligence (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Control and Systems Engineering (1.5k citations) and Health Informatics (69 citations). Kris Hauser has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Casey C. Bennett, Jean‐Claude Latombe, Victor Ng‐Thow‐Hing, Timothy Bretl, James F. O’Brien, Gao Tang, Jingru Luo, Ken Goldberg, Nuttapong Chentanez and Chen Shen. Their work appears in journals such as IEEE Transactions on Robotics, The International Journal of Robotics Research, IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering and Autonomous Robots.
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.