Jay Gowdy
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 8
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- Robotic Path Planning Algorithms 4
- Video Surveillance and Tracking Methods 2
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- Manufacturing Process and Optimization 6
- Flexible and Reconfigurable Manufacturing Systems 5
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- Advanced Optical Sensing Technologies 2
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 3
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- Modular Robots and Swarm Intelligence 2
- Co-authors
- Ralph HollisChristoph MertzChuck ThorpeA.A. RizziC. ThorpeChieh‐Chih WangRomuald AufrèreAlfred A. Rizzi
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- Journal of Field Robotics (1 paper)Mechatronics (1 paper)Engineering Applications of Artificial Intelligence (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-authorship network
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 | 2018 | 2 | |
| 2 | 2018 | 0 | |
| 3 | 2018 | 0 | |
| 4 | 2012 | 98 | |
| 5 | 2005 | 12 | |
| 6 | Design and Development of a Tabletop Precision Assembly System | 2004 | 6 |
| 7 | 2003 | 6 | |
| 8 | 2003 | 87 | |
| 9 | 2003 | 4 | |
| 10 | 2002 | 42 | |
| 11 | 2002 | 9 | |
| 12 | 2002 | 12 | |
| 13 | 2001 | 29 | |
| 14 | Miniature Factories for Precision Assembly | 1998 | 20 |
| 15 | 1997 | 7 | |
| 16 | 1991 | 3 | |
| 17 | 1991 | 30 |
About Jay Gowdy
Jay Gowdy is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering, Instrumentation, Computer Vision and Pattern Recognition and Hardware and Architecture, 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), Modular Robots and Swarm Intelligence (2 papers), Advanced Optical Sensing Technologies (2 papers) and Video Surveillance and Tracking Methods (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.