R. Sutton
Impact in
- Aerospace Engineering top 5%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
- Guidance and Control Systems
-
- Robotic Path Planning Algorithms
Papers in
-
- Human-Automation Interaction and Safety 1
-
- Advanced Control Systems Optimization 1
- Adaptive Control of Nonlinear Systems 1
- Co-authors
- Riccardo Polvara (1 shared paper)Sanjiv Sharma (1 shared paper)Angelo Cangelosi (1 shared paper)Phil Culverhouse (1 shared paper)Wasif Naeem (1 shared paper)Andy Annamalai (1 shared paper)SK Sharma (1 shared paper)Chenguang Yang (1 shared paper)
- Journals
- Applied Ergonomics (1 paper)PEARL (University of Plymouth) (1 paper)Research Portal (Queen's University Belfast) (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
R. Sutton
4 papers receiving 363 citations
R. Sutton's Hit Papers
Peers
Comparison fields: 5 of 63
- Aerospace Engineering 199
- Computer Vision and Pattern Recognition 140
- Control and Systems Engineering 103
- Computer Networks and Communications 76
- Automotive Engineering 36
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 | 355 |
| 2 | 1991 | 12 | |
| 3 | 2014 | 6 | |
| 4 | 2009 | 3 |
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 376 indexed citations. Recurring topics across this work include Ship Hydrodynamics and Maneuverability (1 paper), Advanced Control Systems Optimization (1 paper), Underwater Vehicles and Communication Systems (1 paper), Ergonomics and Human Factors (1 paper), Technology and Human Factors in Education and Health (1 paper), Adaptive Control of Nonlinear 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 (199 citations), Computer Vision and Pattern Recognition (140 citations), Control and Systems Engineering (103 citations), Computer Networks and Communications (76 citations) and Automotive Engineering (36 citations). R. Sutton has collaborated with scholars based in United Kingdom. Frequent co-authors include Riccardo Polvara, Sanjiv Sharma, Angelo Cangelosi, Phil Culverhouse, Wasif Naeem, Andy Annamalai, SK Sharma and Chenguang Yang. Their work appears in journals such as Applied Ergonomics, PEARL (University of Plymouth) and Research Portal (Queen's University Belfast).
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.