David Rye
Impact in
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- Adaptive Control of Nonlinear Systems
- Robot Manipulation and Learning
- Control and Dynamics of Mobile Robots
- Iterative Learning Control Systems
- Human-Computer Interaction top 2%
Papers in
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- Robot Manipulation and Learning 7
- Adaptive Control of Nonlinear Systems 6
- Iterative Learning Control Systems 4
- Dynamics and Control of Mechanical Systems 4
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- Hydraulic and Pneumatic Systems 11
- Co-authors
- Mari Velonaki (14 shared papers)Q. P. Ha (11 shared papers)Hugh Durrant‐Whyte (14 shared papers)David Silvera‐Tawil (5 shared papers)Peter Corke (3 shared papers)Manuchehr Soleimani (1 shared paper)Lê Anh Tuấn (1 shared paper)Guilherme Maeda (4 shared papers)
In The Last Decade
David Rye
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 97
- Control and Systems Engineering 840
- Human-Computer Interaction 143
- Mechanical Engineering 641
- Cognitive Neuroscience 305
- Biomedical Engineering 627
Countries citing papers authored by David Rye
This map shows the geographic impact of David Rye'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 Rye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Rye more than expected).
Fields of papers citing papers by David Rye
This network shows the impact of papers produced by David Rye. 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 Rye. The network helps show where David Rye may publish in the future.
Co-authors
The 23 scholars most cited alongside David Rye, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 165 | |
| 2 | 2014 | 160 | |
| 3 | 2014 | 144 | |
| 4 | 1999 | 139 | |
| 5 | 2001 | 126 | |
| 6 | 2000 | 104 | |
| 7 | 2002 | 96 | |
| 8 | 2012 | 86 | |
| 9 | 2002 | 84 | |
| 10 | 2011 | 81 | |
| 11 | 2012 | 69 | |
| 12 | 2014 | 58 | |
| 13 | 2015 | 55 | |
| 14 | 1996 | 44 | |
| 15 | 2002 | 39 | |
| 16 | 2011 | 36 | |
| 17 | 2003 | 28 | |
| 18 | 1999 | 27 | |
| 19 | 2002 | 26 | |
| 20 | 1985 | 25 |
About David Rye
David Rye is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Social Psychology and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (11 papers), Robot Manipulation and Learning (7 papers), Adaptive Control of Nonlinear Systems (6 papers), Social Robot Interaction and HRI (6 papers), Tactile and Sensory Interactions (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Iterative Learning Control Systems (4 papers) and Dynamics and Control of Mechanical Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (840 citations), Human-Computer Interaction (143 citations), Mechanical Engineering (641 citations), Cognitive Neuroscience (305 citations) and Biomedical Engineering (627 citations). David Rye has collaborated with scholars based in Australia, Singapore and Iran. Frequent co-authors include Mari Velonaki, Q. P. Ha, Hugh Durrant‐Whyte, David Silvera‐Tawil, Peter Corke, Manuchehr Soleimani, Lê Anh Tuấn, Guilherme Maeda, Ian R. Manchester and Fábio Ramos. Their work appears in journals such as IEEE Transactions on Control Systems Technology, Automatica, Robotics and Autonomous Systems, Robotics and Computer-Integrated Manufacturing and IEEE Sensors Journal.
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.