Klas Kronander
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Biomedical Engineering top 10%
- Prosthetics and Rehabilitation Robotics
- Soft Robotics and Applications
- Muscle activation and electromyography studies
Papers in
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- Robot Manipulation and Learning 11
- Robotic Mechanisms and Dynamics 2
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- Soft Robotics and Applications 4
- Prosthetics and Rehabilitation Robotics 4
- Robotic Locomotion and Control 2
- Co-authors
- Aude Billard (11 shared papers)Mohammad Khansari (2 shared papers)Seyed Mohammad Khansari-Zadeh (1 shared paper)Farbod Farshidian (1 shared paper)Jonas Buchli (1 shared paper)Nicolas Le Sommer (1 shared paper)Elizabeth Cha (1 shared paper)
- Journals
- Robotics and Autonomous Systems (1 paper)Advanced Robotics (1 paper)IEEE Transactions on Robotics (1 paper)IEEE Robotics and Automation Letters (1 paper)Autonomous Robots (1 paper)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
Klas Kronander
12 papers receiving 558 citations
Peers
Comparison fields: 5 of 41
- Control and Systems Engineering 476
- Biomedical Engineering 358
- Mechanical Engineering 183
- Cognitive Neuroscience 54
- Rehabilitation 18
Countries citing papers authored by Klas Kronander
This map shows the geographic impact of Klas Kronander'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 Klas Kronander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klas Kronander more than expected).
Fields of papers citing papers by Klas Kronander
This network shows the impact of papers produced by Klas Kronander. 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 Klas Kronander. The network helps show where Klas Kronander may publish in the future.
Co-authors
The 7 scholars most cited alongside Klas Kronander, 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 | 2016 | 192 | |
| 2 | 2013 | 120 | |
| 3 | 2012 | 64 | |
| 4 | 2015 | 62 | |
| 5 | 2015 | 39 | |
| 6 | 2014 | 22 | |
| 7 | 2017 | 20 | |
| 8 | 2011 | 19 | |
| 9 | 2012 | 18 | |
| 10 | 2015 | 5 | |
| 11 | 2015 | 4 | |
| 12 | 2017 | 3 |
About Klas Kronander
Klas Kronander is a scholar working on Control and Systems Engineering, Biomedical Engineering, Artificial Intelligence, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 568 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (11 papers), Soft Robotics and Applications (4 papers), Prosthetics and Rehabilitation Robotics (4 papers), Robotic Mechanisms and Dynamics (2 papers), Teleoperation and Haptic Systems (2 papers), Reinforcement Learning in Robotics (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Control and Systems Engineering (476 citations), Biomedical Engineering (358 citations), Mechanical Engineering (183 citations), Cognitive Neuroscience (54 citations) and Rehabilitation (18 citations). Klas Kronander has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Aude Billard, Mohammad Khansari, Seyed Mohammad Khansari-Zadeh, Farbod Farshidian, Jonas Buchli, Nicolas Le Sommer and Elizabeth Cha. Their work appears in journals such as Robotics and Autonomous Systems, Advanced Robotics, IEEE Transactions on Robotics, IEEE Robotics and Automation Letters 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.