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 9
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- Robotic Path Planning Algorithms 5
- Co-authors
- Ralph Hollis (5 shared papers)Christoph Mertz (8 shared papers)Chuck Thorpe (5 shared papers)A.A. Rizzi (3 shared papers)C. Thorpe (5 shared papers)Chieh‐Chih Wang (5 shared papers)Alfred A. Rizzi (3 shared papers)Romuald Aufrère (1 shared paper)
- Journals
- Springer tracts in advanced robotics (1 paper)The International Journal of Robotics Research (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Journal of Field Robotics (1 paper)Mechatronics (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Jay Gowdy
19 papers receiving 394 citations
Peers
Comparison fields: 5 of 62
- Automotive Engineering 150
- Computer Vision and Pattern Recognition 174
- Industrial and Manufacturing Engineering 75
- Instrumentation 18
- Aerospace Engineering 108
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 25 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 105 | |
| 2 | 2003 | 91 | |
| 3 | 2002 | 50 | |
| 4 | 1991 | 37 | |
| 5 | 2001 | 36 | |
| 6 | Miniature Factories for Precision Assembly | 1998 | 24 |
| 7 | 2005 | 19 | |
| 8 | 2005 | 13 | |
| 9 | 2002 | 12 | |
| 10 | 2002 | 11 | |
| 11 | 1997 | 11 | |
| 12 | 1997 | 8 | |
| 13 | Design and Development of a Tabletop Precision Assembly System | 2004 | 8 |
| 14 | 2003 | 7 | |
| 15 | 2003 | 5 | |
| 16 | 2000 | 4 | |
| 17 | 1991 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 1997 | 1 | |
| 20 | 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 Instrumentation, having authored 21 papers that have together received 447 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (9 papers), Flexible and Reconfigurable Manufacturing Systems (6 papers), Manufacturing Process and Optimization (6 papers), Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Optical Sensing Technologies (3 papers), Modular Robots and Swarm Intelligence (3 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Automotive Engineering (150 citations), Computer Vision and Pattern Recognition (174 citations), Industrial and Manufacturing Engineering (75 citations), Instrumentation (18 citations) and Aerospace Engineering (108 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, Alfred A. Rizzi, Romuald Aufrère, Arne Suppé and Robert A. MacLachlan. Their work appears in journals such as Springer tracts in advanced robotics, The International Journal of Robotics Research, Engineering Applications of Artificial Intelligence, Journal of Field Robotics and Mechatronics.
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.