Sven Parusel
- Control and Systems Engineering top 2%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering top 10%
- Aerospace Engineering top 10%
- Co-authors
- Sami HaddadinAlin Albu‐SchäfferChenguang YangEtienne BurdetGowrishankar GaneshKai KriegerSimon HaddadinDarius Burschka
- Topics
- Robot Manipulation and Learning (12 papers)Prosthetics and Rehabilitation Robotics (5 papers)Automotive and Human Injury Biomechanics (4 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- The International Journal of Robotics ResearchIEEE Transactions on RoboticsIEEE Robotics and Automation Letters
- Partner nations
- GermanyItalyUnited Kingdom
In The Last Decade
Sven Parusel
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Control and Systems Engineering 691
- Biomedical Engineering 445
- Computer Vision and Pattern Recognition 279
- Mechanical Engineering 218
- Aerospace Engineering 183
Countries citing papers authored by Sven Parusel
This map shows the geographic impact of Sven Parusel'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 Sven Parusel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Parusel more than expected).
Fields of papers citing papers by Sven Parusel
This network shows the impact of papers produced by Sven Parusel. 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 Sven Parusel. The network helps show where Sven Parusel may publish in the future.
Co-authorship network of co-authors of Sven Parusel
This figure shows the co-authorship network connecting the top 25 collaborators of Sven Parusel. A scholar is included among the top collaborators of Sven Parusel 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 Sven Parusel. Sven Parusel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 90 | |
| 2 | 51 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 115 | |
| 9 | 36 | |
| 10 | 133 | |
| 11 | 117 | |
| 12 | 54 | |
| 13 | 4 | |
| 14 | 26 | |
| 15 | 307 | |
| 16 | 6 | |
| 17 | 33 | |
| 18 | 55 | |
| 19 | 4 | |
| 20 | Playing billard with an anthropomorphic robot arm | 2 |
About Sven Parusel
Sven Parusel is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Instrumentation, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (12 papers), Prosthetics and Rehabilitation Robotics (5 papers) and Automotive and Human Injury Biomechanics (4 papers). The work is most often cited by research in Control and Systems Engineering (691 citations), Computer Vision and Pattern Recognition (279 citations) and Human-Computer Interaction (69 citations). Sven Parusel has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Sami Haddadin, Alin Albu‐Schäffer, Chenguang Yang, Etienne Burdet, Gowrishankar Ganesh, Kai Krieger, Simon Haddadin, Darius Burschka, Chavdar Papazov and Antonio Bicchi. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.
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.