Jay Gowdy
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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- Autonomous Vehicle Technology and Safety 8
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- Robotic Path Planning Algorithms 4
- Video Surveillance and Tracking Methods 2
- Co-authors
- Ralph Hollis (4 shared papers)Christoph Mertz (7 shared papers)Chuck Thorpe (4 shared papers)A.A. Rizzi (3 shared papers)C. Thorpe (5 shared papers)Chieh‐Chih Wang (5 shared papers)Romuald Aufrère (1 shared paper)Alfred A. Rizzi (2 shared papers)
- Journals
- Journal of Field Robotics (1 paper)Mechatronics (1 paper)Engineering Applications of Artificial Intelligence (1 paper)The International Journal of Robotics Research (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Jay Gowdy
15 papers receiving 326 citations
Peers
Comparison fields: 5 of 58
- Automotive Engineering 126
- Computer Vision and Pattern Recognition 147
- Industrial and Manufacturing Engineering 60
- Instrumentation 16
- Aerospace Engineering 89
Countries citing papers authored by Jay Gowdy
This map shows the geographic impact of Jay Gowdy'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 Jay Gowdy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Gowdy more than expected).
Fields of papers citing papers by Jay Gowdy
This network shows the impact of papers produced by Jay Gowdy. 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 Jay Gowdy. The network helps show where Jay Gowdy may publish in the future.
Co-authors
The 24 scholars most cited alongside Jay Gowdy, 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 | 2012 | 98 | |
| 2 | 2003 | 87 | |
| 3 | 2002 | 42 | |
| 4 | 1991 | 30 | |
| 5 | 2001 | 29 | |
| 6 | Miniature Factories for Precision Assembly | 1998 | 20 |
| 7 | 2002 | 12 | |
| 8 | 2005 | 12 | |
| 9 | 2002 | 9 | |
| 10 | 1997 | 7 | |
| 11 | 2003 | 6 | |
| 12 | Design and Development of a Tabletop Precision Assembly System | 2004 | 6 |
| 13 | 2003 | 4 | |
| 14 | 1991 | 3 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 0 | |
| 17 | 2018 | 0 |
About Jay Gowdy
Jay Gowdy is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Aerospace Engineering and Social Psychology, having authored 17 papers that have together received 367 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (8 papers), Manufacturing Process and Optimization (6 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers), Robotic Path Planning Algorithms (4 papers), Robotics and Sensor-Based Localization (3 papers), Video Surveillance and Tracking Methods (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Automotive Engineering (126 citations), Computer Vision and Pattern Recognition (147 citations), Industrial and Manufacturing Engineering (60 citations), Instrumentation (16 citations) and Aerospace Engineering (89 citations). Jay Gowdy has collaborated with scholars based in United States and France. Frequent co-authors include Ralph Hollis, Christoph Mertz, Chuck Thorpe, A.A. Rizzi, C. Thorpe, Chieh‐Chih Wang, Romuald Aufrère, Alfred A. Rizzi, David Duggins and Arne Suppé. Their work appears in journals such as Journal of Field Robotics, Mechatronics, Engineering Applications of Artificial Intelligence, The International Journal of Robotics Research and Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
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.