Markus Wulfmeier
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
-
- Robotic Path Planning Algorithms
Papers in
-
- Reinforcement Learning in Robotics 5
- Adversarial Robustness in Machine Learning 3
- Machine Learning and Data Classification 2
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Ingmar Posner (6 shared papers)Peter Ondrúška (2 shared papers)Dushyant Rao (3 shared papers)Dominic Zeng Wang (1 shared paper)Alex Bewley (3 shared papers)Carmine Senatore (2 shared papers)Karl Iagnemma (2 shared papers)José E. Andrade (1 shared paper)
- Journals
- The International Journal of Robotics Research (1 paper)Journal of Terramechanics (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Advances in intelligent systems and computing (1 paper)arXiv (Cornell University) (4 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Markus Wulfmeier
11 papers receiving 247 citations
Peers
Comparison fields: 5 of 54
- Automotive Engineering 69
- Computer Vision and Pattern Recognition 91
- Control and Systems Engineering 61
- Artificial Intelligence 87
- Civil and Structural Engineering 45
Countries citing papers authored by Markus Wulfmeier
This map shows the geographic impact of Markus Wulfmeier'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 Markus Wulfmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Wulfmeier more than expected).
Fields of papers citing papers by Markus Wulfmeier
This network shows the impact of papers produced by Markus Wulfmeier. 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 Markus Wulfmeier. The network helps show where Markus Wulfmeier may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Wulfmeier, 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 | 2017 | 126 | |
| 2 | 2017 | 37 | |
| 3 | 2013 | 33 | |
| 4 | Deep Inverse Reinforcement Learning. | 2015 | 25 |
| 5 | 2012 | 15 | |
| 6 | 2015 | 9 | |
| 7 | Data-efficient Hindsight Off-policy Option Learning | 2021 | 3 |
| 8 | TACO: Learning Task Decomposition via Temporal Alignment for Control | 2018 | 2 |
| 9 | Incremental Adversarial Domain Adaptation. | 2017 | 1 |
| 10 | Attention Privileged Reinforcement Learning for Domain Transfer | 2019 | 1 |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 |
About Markus Wulfmeier
Markus Wulfmeier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Mechanical Engineering and Automotive Engineering, having authored 12 papers that have together received 253 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Adversarial Robustness in Machine Learning (3 papers), Agricultural Engineering and Mechanization (2 papers), Soil Mechanics and Vehicle Dynamics (2 papers), Machine Learning and Data Classification (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Computational Geometry and Mesh Generation (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Automotive Engineering (69 citations), Computer Vision and Pattern Recognition (91 citations), Control and Systems Engineering (61 citations), Artificial Intelligence (87 citations) and Civil and Structural Engineering (45 citations). Markus Wulfmeier has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Ingmar Posner, Peter Ondrúška, Dushyant Rao, Dominic Zeng Wang, Alex Bewley, Carmine Senatore, Karl Iagnemma, José E. Andrade, Ivan Vlahinić and Bernardo Wagner. Their work appears in journals such as The International Journal of Robotics Research, Journal of Terramechanics, SAE technical papers on CD-ROM/SAE technical paper series, Advances in intelligent systems and computing and arXiv (Cornell University).
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.