R. Sutton
Impact in
- Aerospace Engineering top 5%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
- Guidance and Control Systems
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- Robotic Path Planning Algorithms
Papers in
-
- Human-Automation Interaction and Safety 1
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- Adaptive Control of Nonlinear Systems 1
- Fault Detection and Control Systems 1
- Co-authors
- Sanjiv Sharma (1 shared paper)Riccardo Polvara (1 shared paper)Angelo Cangelosi (1 shared paper)Andy Annamalai (1 shared paper)Wasif Naeem (1 shared paper)SK Sharma (1 shared paper)Chenguang Yang (1 shared paper)Phil Culverhouse (1 shared paper)
- Journals
- Applied Ergonomics (1 paper)Research Portal (Queen's University Belfast) (1 paper)PEARL (University of Plymouth) (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
R. Sutton
4 papers receiving 387 citations
R. Sutton's Hit Papers
Peers
Comparison fields: 5 of 63
- Aerospace Engineering 206
- Computer Vision and Pattern Recognition 146
- Control and Systems Engineering 109
- Computer Networks and Communications 77
- Automotive Engineering 38
Countries citing papers authored by R. Sutton
This map shows the geographic impact of R. Sutton'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 R. Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Sutton more than expected).
Fields of papers citing papers by R. Sutton
This network shows the impact of papers produced by R. Sutton. 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 R. Sutton. The network helps show where R. Sutton may publish in the future.
Co-authors
The 8 scholars most cited alongside R. Sutton, 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 | The 2018 International Conference on Unmanned Aircraft Systems Hit paper breakdown → | 2018 | 370 |
| 2 | 1991 | 12 | |
| 3 | 2014 | 6 | |
| 4 | 2009 | 4 |
About R. Sutton
R. Sutton is a scholar working on Social Psychology, Control and Systems Engineering, Ocean Engineering, Public Health, Environmental and Occupational Health and Biomedical Engineering, having authored 4 papers that have together received 392 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (1 paper), Ship Hydrodynamics and Maneuverability (1 paper), Ergonomics and Human Factors (1 paper), Fault Detection and Control Systems (1 paper), Technology and Human Factors in Education and Health (1 paper), Underwater Vehicles and Communication Systems (1 paper), Human-Automation Interaction and Safety (1 paper) and Maritime Navigation and Safety (1 paper). The work is most often cited by research in Aerospace Engineering (206 citations), Computer Vision and Pattern Recognition (146 citations), Control and Systems Engineering (109 citations), Computer Networks and Communications (77 citations) and Automotive Engineering (38 citations). R. Sutton has collaborated with scholars based in United Kingdom. Frequent co-authors include Sanjiv Sharma, Riccardo Polvara, Angelo Cangelosi, Andy Annamalai, Wasif Naeem, SK Sharma, Chenguang Yang and Phil Culverhouse. Their work appears in journals such as Applied Ergonomics, Research Portal (Queen's University Belfast) and PEARL (University of Plymouth).
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.