R.J. Watt
Impact in
- Cognitive Neuroscience top 0.5%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Face Recognition and Perception
- Neural and Behavioral Psychology Studies
Papers in
-
- Visual perception and processing mechanisms 46
- Neural dynamics and brain function 12
- Face Recognition and Perception 5
- Co-authors
- Michael J. MorganSteven C. DakinVicki BruceD.P. AndrewsRobert F. HessWilliam A. PhillipsM. J. MorganJohn Cass
- Journals
- Vision Research (21 papers)Journal of Vision (5 papers)Trends in Cognitive Sciences (3 papers)British Journal of Psychology (3 papers)Journal of the Optical Society of America A (3 papers)
- Partner nations
- United KingdomAustraliaChina
In The Last Decade
R.J. Watt
64 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cognitive Neuroscience 3.0k
- Experimental and Cognitive Psychology 553
- Computer Vision and Pattern Recognition 850
- Social Psychology 548
- Media Technology 178
Countries citing papers authored by R.J. Watt
This map shows the geographic impact of R.J. Watt'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.J. Watt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.J. Watt more than expected).
Fields of papers citing papers by R.J. Watt
This network shows the impact of papers produced by R.J. Watt. 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.J. Watt. The network helps show where R.J. Watt may publish in the future.
Co-authors
The 25 scholars most cited alongside R.J. Watt, 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 | 2024 | 1 | |
| 2 | 2020 | 4 | |
| 3 | 2010 | 3 | |
| 4 | 2010 | 0 | |
| 5 | 2009 | 143 | |
| 6 | 2009 | 75 | |
| 7 | 2007 | 1 | |
| 8 | 2002 | 1 | |
| 9 | Do the eyes have it? Cues to the direction of social attention Hit paper breakdown → | 2000 | 671 |
| 10 | 1995 | 3 | |
| 11 | 1994 | 95 | |
| 12 | 1991 | 1 | |
| 13 | 1990 | 35 | |
| 14 | 1989 | 28 | |
| 15 | 1987 | 19 | |
| 16 | 1987 | 9 | |
| 17 | 1987 | 203 | |
| 18 | 1985 | 28 | |
| 19 | 1983 | 2 | |
| 20 | 1982 | 43 |
About R.J. Watt
R.J. Watt is a scholar working on Cognitive Neuroscience, Acoustics and Ultrasonics, Computer Vision and Pattern Recognition, Media Technology and General Psychology, having authored 66 papers that have together received 3.5k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (46 papers), Neural dynamics and brain function (12 papers), Color Science and Applications (11 papers), Visual Attention and Saliency Detection (6 papers), Color perception and design (6 papers), Retinal Imaging and Analysis (6 papers), Face Recognition and Perception (5 papers) and Advanced Optical Imaging Technologies (5 papers). The work is most often cited by research in Cognitive Neuroscience (3.0k citations), Experimental and Cognitive Psychology (553 citations), Computer Vision and Pattern Recognition (850 citations), Social Psychology (548 citations) and Media Technology (178 citations). R.J. Watt has collaborated with scholars based in United Kingdom, Australia and China. Frequent co-authors include Michael J. Morgan, Steven C. Dakin, Vicki Bruce, D.P. Andrews, Robert F. Hess, William A. Phillips, M. J. Morgan, John Cass, Peter J. Bex and Timothy Ledgeway. Their work appears in journals such as Vision Research, Journal of Vision, Trends in Cognitive Sciences, British Journal of Psychology and Journal of the Optical Society of America A.
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.