Glen Chou
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Automotive Engineering
- Computational Theory and Mathematics
- Co-authors
- Dmitry BerensonNecmiye ÖzayRichard SchwartzJ. MakhoulThad StarnerLiren YangPetter NilssonMo Chen
- Topics
- Robotic Path Planning Algorithms (5 papers)Fault Detection and Control Systems (4 papers)Robot Manipulation and Learning (4 papers)
- Journals
- The International Journal of Robotics ResearchIEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsAutonomous Robots
- Partner nations
- United States
In The Last Decade
Glen Chou
17 papers receiving 177 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 89
- Computer Vision and Pattern Recognition 85
- Control and Systems Engineering 54
- Automotive Engineering 35
- Computational Theory and Mathematics 27
Countries citing papers authored by Glen Chou
This map shows the geographic impact of Glen Chou'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 Glen Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen Chou more than expected).
Fields of papers citing papers by Glen Chou
This network shows the impact of papers produced by Glen Chou. 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 Glen Chou. The network helps show where Glen Chou may publish in the future.
Co-authorship network of co-authors of Glen Chou
This figure shows the co-authorship network connecting the top 25 collaborators of Glen Chou. A scholar is included among the top collaborators of Glen Chou 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 Glen Chou. Glen Chou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 27 | |
| 13 | 10 | |
| 14 | Using Neural Networks for Fast Reachable Set Computations | 1 |
| 15 | 11 | |
| 16 | 53 | |
| 17 | 7 |
About Glen Chou
Glen Chou is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 17 papers that have together received 188 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Fault Detection and Control Systems (4 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Human-Computer Interaction (25 citations), Computer Vision and Pattern Recognition (85 citations) and Automotive Engineering (35 citations). Glen Chou has collaborated with scholars based in United States. Frequent co-authors include Dmitry Berenson, Necmiye Özay, Richard Schwartz, J. Makhoul, Thad Starner, Liren Yang, Petter Nilsson, Mo Chen, Claire J. Tomlin and G. Zavaliagkos. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Autonomous Robots.
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.