Chris Urmson
- Computer Vision and Pattern Recognition top 2%
- Automotive Engineering top 2%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Co-authors
- John M. DolanNathaniel FairfieldJin Woo LeeMatthew McNaughtonMichael DarmsPaul E. RybskiDave FergusonSascha Kolski
- Topics
- Robotic Path Planning Algorithms (12 papers)Autonomous Vehicle Technology and Safety (9 papers)Video Surveillance and Tracking Methods (6 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- United StatesSwitzerland
In The Last Decade
Chris Urmson
19 papers receiving 781 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 491
- Automotive Engineering 473
- Control and Systems Engineering 187
- Aerospace Engineering 172
- Artificial Intelligence 90
Countries citing papers authored by Chris Urmson
This map shows the geographic impact of Chris Urmson'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 Chris Urmson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Urmson more than expected).
Fields of papers citing papers by Chris Urmson
This network shows the impact of papers produced by Chris Urmson. 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 Chris Urmson. The network helps show where Chris Urmson may publish in the future.
Co-authorship network of co-authors of Chris Urmson
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Urmson. A scholar is included among the top collaborators of Chris Urmson 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 Chris Urmson. Chris Urmson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 32 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 249 | |
| 8 | 142 | |
| 9 | Self-supervised aerial image analysis for extracting parking lot structure | 8 |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 18 | |
| 13 | 89 | |
| 14 | 66 | |
| 15 | 100 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 24 | |
| 19 | 21 | |
| 20 | ROBOTICS FOR ASSEMBLY, INSPECTION, AND MAINTENANCE OF SPACE MACROFACILITIES | 23 |
About Chris Urmson
Chris Urmson is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Instrumentation, having authored 21 papers that have together received 822 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (12 papers), Autonomous Vehicle Technology and Safety (9 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Automotive Engineering (473 citations), Computer Vision and Pattern Recognition (491 citations) and Control and Systems Engineering (187 citations). Chris Urmson has collaborated with scholars based in United States and Switzerland. Frequent co-authors include John M. Dolan, Nathaniel Fairfield, Jin Woo Lee, Matthew McNaughton, Michael Darms, Paul E. Rybski, Dave Ferguson, Sascha Kolski, Young‐Woo Seo and David Wettergreen. Their work appears in journals such as The International Journal of Robotics Research, AI Magazine and Journal of Aerospace Engineering.
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.