Peter Trautman

981 total citations · 1 hit paper
9 papers, 595 citations indexed

About

Peter Trautman is a scholar working on Ocean Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peter Trautman has authored 9 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ocean Engineering, 4 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peter Trautman's work include Evacuation and Crowd Dynamics (5 papers), Robotic Path Planning Algorithms (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Peter Trautman is often cited by papers focused on Evacuation and Crowd Dynamics (5 papers), Robotic Path Planning Algorithms (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Peter Trautman collaborates with scholars based in United States and Japan. Peter Trautman's co-authors include Andreas Krause, Jeremy Ma, Richard M. Murray, Soshi Iba, Chao Cao, Dirk K. Morr, Francesca Baldini and Todd D. Murphey and has published in prestigious journals such as Physical Review Letters, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Peter Trautman

9 papers receiving 576 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unfreezing the robot: Navigation in dense, interacting crowds

2010 392 citations Peter Trautman, Andreas Krause profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Trautman United States	6	336	258	202	184	130	9	595
Yuejiang Liu Switzerland	7	367 1.1×	219 0.8×	147 0.7×	288 1.6×	82 0.6×	10	588
Markus Spies Germany	6	208 0.6×	112 0.4×	111 0.5×	143 0.8×	91 0.7×	11	372
S. Kreiss Switzerland	5	250 0.7×	143 0.6×	121 0.6×	186 1.0×	61 0.5×	8	396
Xuan Tung Truong Vietnam	11	401 1.2×	55 0.2×	151 0.7×	89 0.5×	108 0.8×	35	570
Trung Dung Ngo Canada	10	204 0.6×	45 0.2×	76 0.4×	71 0.4×	126 1.0×	67	489
Daniel Althoff Germany	9	194 0.6×	167 0.6×	29 0.1×	52 0.3×	126 1.0×	14	315
Shilpa Gulati United States	5	111 0.3×	205 0.8×	25 0.1×	88 0.5×	201 1.5×	7	421
Sahil Narang United States	11	138 0.4×	88 0.3×	98 0.5×	35 0.2×	106 0.8×	16	301
Min-Chul Lee South Korea	12	131 0.4×	220 0.9×	14 0.1×	47 0.3×	82 0.6×	30	463
Jingwei Zhang Germany	3	198 0.6×	64 0.2×	50 0.2×	185 1.0×	61 0.5×	5	333

Countries citing papers authored by Peter Trautman

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter Trautman

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Trautman. A scholar is included among the top collaborators of Peter Trautman 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 Peter Trautman. Peter Trautman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Trautman, Peter, et al.. (2025). Fast Ergodic Search With Kernel Functions. IEEE Transactions on Robotics. 41. 1841–1860. 1 indexed citations

2.

Baldini, Francesca, et al.. (2024). Mixed strategy Nash equilibrium for crowd navigation. The International Journal of Robotics Research. 44(7). 1156–1185. 1 indexed citations

3.

Baldini, Francesca, et al.. (2021). Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation. 14 indexed citations

4.

Trautman, Peter, et al.. (2020). Real Time Crowd Navigation from First Principles of Probability Theory. Proceedings of the International Conference on Automated Planning and Scheduling. 30. 459–467. 8 indexed citations

5.

Cao, Chao, Peter Trautman, & Soshi Iba. (2019). Dynamic Channel: A Planning Framework for Crowd Navigation. 5551–5557. 40 indexed citations

6.

Trautman, Peter. (2017). Breaking the Human-Robot Deadlock: Surpassing Shared Control Performance Limits with Sparse Human-Robot Interaction. 4 indexed citations

7.

Trautman, Peter, Jeremy Ma, Richard M. Murray, & Andreas Krause. (2013). Robot navigation in dense human crowds: the case for cooperation. 2153–2160. 105 indexed citations

8.

Trautman, Peter & Andreas Krause. (2010). Unfreezing the robot: Navigation in dense, interacting crowds. 797–803. 392 indexed citations breakdown →

9.

Morr, Dirk K., et al.. (2001). Resonance Peak in Sr2RuO4: Signature of Spin Triplet Pairing. Physical Review Letters. 86(26). 5978–5981. 30 indexed citations

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.

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