Kai Krieger
Impact in
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- Robot Manipulation and Learning
- Adaptive Control of Nonlinear Systems
- Robotic Mechanisms and Dynamics
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- Robotic Path Planning Algorithms
Papers in
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- Robot Manipulation and Learning 5
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- Muscle activation and electromyography studies 4
- Prosthetics and Rehabilitation Robotics 4
- Robotic Locomotion and Control 2
- Co-authors
- Sami Haddadin (8 shared papers)Sven Parusel (3 shared papers)Alin Albu‐Schäffer (7 shared papers)Darius Burschka (2 shared papers)Chavdar Papazov (2 shared papers)Marc Schwarzbach (2 shared papers)Konstantin Kondak (2 shared papers)Maximilian Laiacker (2 shared papers)
- Journals
- IEEE Transactions on Robotics (1 paper)The International Journal of Robotics Research (1 paper)International Journal of Advanced Robotic Systems (1 paper)IEEE Spectrum (1 paper)mediaTUM (Technical University of Munich) (2 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Kai Krieger
11 papers receiving 369 citations
Peers
Comparison fields: 5 of 37
- Control and Systems Engineering 233
- Computer Vision and Pattern Recognition 201
- Aerospace Engineering 170
- Geology 38
- Human-Computer Interaction 13
Countries citing papers authored by Kai Krieger
This map shows the geographic impact of Kai Krieger'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 Kai Krieger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Krieger more than expected).
Fields of papers citing papers by Kai Krieger
This network shows the impact of papers produced by Kai Krieger. 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 Kai Krieger. The network helps show where Kai Krieger may publish in the future.
Co-authors
The 22 scholars most cited alongside Kai Krieger, 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 | 2012 | 117 | |
| 2 | 2013 | 115 | |
| 3 | 2013 | 74 | |
| 4 | 2010 | 19 | |
| 5 | 2012 | 14 | |
| 6 | 2013 | 13 | |
| 7 | 2011 | 9 | |
| 8 | 2011 | 5 | |
| 9 | 2012 | 5 | |
| 10 | 2018 | 4 | |
| 11 | 2006 | 1 |
About Kai Krieger
Kai Krieger is a scholar working on Control and Systems Engineering, Biomedical Engineering, Aerospace Engineering, Cognitive Neuroscience and Mechanical Engineering, having authored 11 papers that have together received 376 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Muscle activation and electromyography studies (4 papers), Prosthetics and Rehabilitation Robotics (4 papers), Teleoperation and Haptic Systems (2 papers), Space Satellite Systems and Control (2 papers), Motor Control and Adaptation (2 papers), Robotic Locomotion and Control (2 papers) and Vehicle Dynamics and Control Systems (1 paper). The work is most often cited by research in Control and Systems Engineering (233 citations), Computer Vision and Pattern Recognition (201 citations), Aerospace Engineering (170 citations), Geology (38 citations) and Human-Computer Interaction (13 citations). Kai Krieger has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Sami Haddadin, Sven Parusel, Alin Albu‐Schäffer, Darius Burschka, Chavdar Papazov, Marc Schwarzbach, Konstantin Kondak, Maximilian Laiacker, Felix Huber and Iván Maza. Their work appears in journals such as IEEE Transactions on Robotics, The International Journal of Robotics Research, International Journal of Advanced Robotic Systems, IEEE Spectrum and mediaTUM (Technical University of Munich).
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.