Jan Carius
Impact in
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- Robot Manipulation and Learning
- Advanced Control Systems Optimization
- Robotic Mechanisms and Dynamics
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- Robotic Locomotion and Control
- Prosthetics and Rehabilitation Robotics
Papers in ⓘ
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- Interactive and Immersive Displays 1
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- Advanced Control Systems Optimization 1
- Robot Manipulation and Learning 1
- Co-authors
- Marco Hutter (5 shared papers)René Ranftl (3 shared papers)C. Dario Bellicoso (1 shared paper)Christian Gehring (1 shared paper)Markus Giftthaler (1 shared paper)Michael Neunert (1 shared paper)Jonas Buchli (1 shared paper)Vladlen Koltun (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Journal of Field Robotics (1 paper)The International Journal of Robotics Research (1 paper)IEEE Transactions on Robotics (1 paper)Repository for Publications and Research Data (ETH Zurich) (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Jan Carius
7 papers receiving 308 citations
Peers
Comparison fields: 5 of 40
- Control and Systems Engineering 179
- Biomedical Engineering 217
- Computer Vision and Pattern Recognition 88
- Automotive Engineering 22
- Artificial Intelligence 48
Countries citing papers authored by Jan Carius
This map shows the geographic impact of Jan Carius'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 Jan Carius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Carius more than expected).
Fields of papers citing papers by Jan Carius
This network shows the impact of papers produced by Jan Carius. 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 Jan Carius. The network helps show where Jan Carius may publish in the future.
Co-authors
The 14 scholars most cited alongside Jan Carius, 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 | 2018 | 174 | |
| 2 | 2018 | 48 | |
| 3 | 2019 | 28 | |
| 4 | 2020 | 27 | |
| 5 | 2018 | 22 | |
| 6 | 2021 | 15 | |
| 7 | 2025 | 2 |
About Jan Carius
Jan Carius is a scholar working on Human-Computer Interaction, Control and Systems Engineering, Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research, having authored 7 papers that have together received 316 indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (3 papers), Robotic Locomotion and Control (3 papers), Robotics and Sensor-Based Localization (1 paper), Advanced Control Systems Optimization (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Robot Manipulation and Learning (1 paper), Probabilistic and Robust Engineering Design (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Control and Systems Engineering (179 citations), Biomedical Engineering (217 citations), Computer Vision and Pattern Recognition (88 citations), Automotive Engineering (22 citations) and Artificial Intelligence (48 citations). Jan Carius has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Marco Hutter, René Ranftl, C. Dario Bellicoso, Christian Gehring, Markus Giftthaler, Michael Neunert, Jonas Buchli, Vladlen Koltun, Farbod Farshidian and Marco Hutter. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Field Robotics, The International Journal of Robotics Research, IEEE Transactions on Robotics and Repository for Publications and Research Data (ETH Zurich).
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.