Peter Trautman
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
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- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
Papers in
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- Evacuation and Crowd Dynamics 5
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- Anomaly Detection Techniques and Applications 2
- Evolutionary Algorithms and Applications 1
- Co-authors
- Andreas Krause (2 shared papers)Richard M. Murray (1 shared paper)Jeremy Ma (1 shared paper)Chao Cao (1 shared paper)Soshi Iba (1 shared paper)Dirk K. Morr (1 shared paper)Todd D. Murphey (3 shared papers)Francesca Baldini (2 shared papers)
- Journals
- Physical Review Letters (1 paper)The International Journal of Robotics Research (1 paper)IEEE Transactions on Robotics (1 paper)Proceedings of the International Conference on Automated Planning and Scheduling (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Peter Trautman
9 papers receiving 576 citations
Peter Trautman's Hit Papers
Peers
Comparison fields: 5 of 56
- Automotive Engineering 258
- Computer Vision and Pattern Recognition 336
- Ocean Engineering 202
- Artificial Intelligence 184
- Social Psychology 116
Countries citing papers authored by Peter Trautman
This map shows the geographic impact of Peter Trautman'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 Peter Trautman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Trautman more than expected).
Fields of papers citing papers by Peter Trautman
This network shows the impact of papers produced by Peter Trautman. 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 Peter Trautman. The network helps show where Peter Trautman may publish in the future.
Co-authors
The 8 scholars most cited alongside Peter Trautman, 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 | Unfreezing the robot: Navigation in dense, interacting crowds Hit paper breakdown → | 2010 | 392 |
| 2 | 2013 | 105 | |
| 3 | 2019 | 40 | |
| 4 | 2001 | 30 | |
| 5 | 2021 | 14 | |
| 6 | 2020 | 8 | |
| 7 | 2017 | 4 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 1 |
About Peter Trautman
Peter Trautman is a scholar working on Ocean Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Automotive Engineering and Surgery, having authored 9 papers that have together received 595 indexed citations. Recurring topics across this work include Evacuation and Crowd Dynamics (5 papers), Robotic Path Planning Algorithms (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Anomaly Detection Techniques and Applications (2 papers), Physics of Superconductivity and Magnetism (1 paper), Video Surveillance and Tracking Methods (1 paper), Evolutionary Algorithms and Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Automotive Engineering (258 citations), Computer Vision and Pattern Recognition (336 citations), Ocean Engineering (202 citations), Artificial Intelligence (184 citations) and Social Psychology (116 citations). Peter Trautman has collaborated with scholars based in United States and Japan. Frequent co-authors include Andreas Krause, Richard M. Murray, Jeremy Ma, Chao Cao, Soshi Iba, Dirk K. Morr, Todd D. Murphey and Francesca Baldini. Their work appears in journals such as Physical Review Letters, The International Journal of Robotics Research, IEEE Transactions on Robotics and Proceedings of the International Conference on Automated Planning and Scheduling.
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.