David Coombs
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Media Technology top 2%
- Cognitive Neuroscience
- Electrical and Electronic Engineering
- Co-authors
- Christopher M. BrownMartin HermanThomas J. OlsonMarilyn NashmanC. Mackenzie BrownTsai-Hong HongTsai Hong HongKarl Murphy
- Topics
- Advanced Vision and Imaging (15 papers)Image Processing Techniques and Applications (8 papers)Robotics and Sensor-Based Localization (7 papers)
- Journals
- Behavioral and Brain SciencesInternational Journal of Computer VisionIEEE Transactions on Computers
- Partner nations
- United StatesEgyptFrance
In The Last Decade
David Coombs
24 papers receiving 517 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 452
- Aerospace Engineering 263
- Media Technology 139
- Cognitive Neuroscience 64
- Electrical and Electronic Engineering 63
Countries citing papers authored by David Coombs
This map shows the geographic impact of David Coombs'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 David Coombs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Coombs more than expected).
Fields of papers citing papers by David Coombs
This network shows the impact of papers produced by David Coombs. 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 David Coombs. The network helps show where David Coombs may publish in the future.
Co-authorship network of co-authors of David Coombs
This figure shows the co-authorship network connecting the top 25 collaborators of David Coombs. A scholar is included among the top collaborators of David Coombs 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 David Coombs. David Coombs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 30 | |
| 3 | 39 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | Intelligent Control for Unmanned Vehicles | 5 |
| 7 | 71 | |
| 8 | 43 | |
| 9 | Real-time Obstacle Avoidance Using Central Flow Divergence and Peripheral Flow | NIST | 29 |
| 10 | 0 | |
| 11 | Real-time smooth pursuit tracking | 23 |
| 12 | 79 | |
| 13 | Real-Time Gaze Holding in Binocular Robot Vision | 22 |
| 14 | 38 | |
| 15 | Detecting Regions of Zero Disparity in Binocular Images | 11 |
| 16 | 68 | |
| 17 | Notes on Control with Delay | 7 |
| 18 | 4 | |
| 19 | 0 | |
| 20 | 4 |
About David Coombs
David Coombs is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 27 papers that have together received 567 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Image Processing Techniques and Applications (8 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (452 citations), Media Technology (139 citations) and Aerospace Engineering (263 citations). David Coombs has collaborated with scholars based in United States, Egypt and France. Frequent co-authors include Christopher M. Brown, Martin Herman, Thomas J. Olson, Marilyn Nashman, C. Mackenzie Brown, Tsai-Hong Hong, Tsai Hong Hong, Karl Murphy, Ted Camus and Christopher C. Brown. Their work appears in journals such as Behavioral and Brain Sciences, International Journal of Computer Vision and IEEE Transactions on Computers.
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.