Lorenz Wellhausen
- Biomedical Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
- Co-authors
- Marco HutterJoonho LeeJemin HwangboVladlen KoltunTakahiro MikiMarko BjelonicKrzysztof WalasCésar Cadena
- Topics
- Robotic Locomotion and Control (16 papers)Robotics and Sensor-Based Localization (12 papers)Robotic Path Planning Algorithms (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringBiomedical Engineering
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Lorenz Wellhausen
21 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Biomedical Engineering 1.0k
- Computer Vision and Pattern Recognition 608
- Control and Systems Engineering 543
- Aerospace Engineering 418
- Artificial Intelligence 347
Countries citing papers authored by Lorenz Wellhausen
This map shows the geographic impact of Lorenz Wellhausen'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 Lorenz Wellhausen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz Wellhausen more than expected).
Fields of papers citing papers by Lorenz Wellhausen
This network shows the impact of papers produced by Lorenz Wellhausen. 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 Lorenz Wellhausen. The network helps show where Lorenz Wellhausen may publish in the future.
Co-authorship network of co-authors of Lorenz Wellhausen
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenz Wellhausen. A scholar is included among the top collaborators of Lorenz Wellhausen 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 Lorenz Wellhausen. Lorenz Wellhausen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 27 | |
| 3 | 12 | |
| 4 | Learning robust perceptive locomotion for quadrupedal robots in the wildbreakdown → | 443 |
| 5 | 31 | |
| 6 | 64 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 37 | |
| 10 | 8 | |
| 11 | 39 | |
| 12 | 144 | |
| 13 | 54 | |
| 14 | 44 | |
| 15 | 22 | |
| 16 | 17 | |
| 17 | 127 | |
| 18 | 5 | |
| 19 | 15 | |
| 20 | 2 |
About Lorenz Wellhausen
Lorenz Wellhausen is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (16 papers), Robotics and Sensor-Based Localization (12 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (608 citations), Control and Systems Engineering (543 citations) and Biomedical Engineering (1.0k citations). Lorenz Wellhausen has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Marco Hutter, Joonho Lee, Jemin Hwangbo, Vladlen Koltun, Takahiro Miki, Marko Bjelonic, Krzysztof Walas, César Cadena, René Ranftl and Alexey Dosovitskiy. Their work appears in journals such as Science Robotics, IEEE Robotics and Automation Letters and Journal of Field Robotics.
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.