G. W. Humphreys
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology top 10%
- Developmental and Educational Psychology top 10%
- Co-authors
- Nick DonnellyM. Jane RiddochMuriel BoucartDavid SotoJohn HodsollSigne VangkildeMagdalena ChechlaczCéline R. Gillebert
- Topics
- Visual perception and processing mechanisms (11 papers)Neural and Behavioral Psychology Studies (9 papers)Face Recognition and Perception (7 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
G. W. Humphreys
30 papers receiving 847 citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 792
- Experimental and Cognitive Psychology 266
- Computer Vision and Pattern Recognition 118
- Social Psychology 115
- Developmental and Educational Psychology 98
Countries citing papers authored by G. W. Humphreys
This map shows the geographic impact of G. W. Humphreys'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 G. W. Humphreys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. W. Humphreys more than expected).
Fields of papers citing papers by G. W. Humphreys
This network shows the impact of papers produced by G. W. Humphreys. 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 G. W. Humphreys. The network helps show where G. W. Humphreys may publish in the future.
Co-authorship network of co-authors of G. W. Humphreys
This figure shows the co-authorship network connecting the top 25 collaborators of G. W. Humphreys. A scholar is included among the top collaborators of G. W. Humphreys based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. W. Humphreys. G. W. Humphreys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 78 | |
| 2 | 26 | |
| 3 | 83 | |
| 4 | 18 | |
| 5 | 13 | |
| 6 | 26 | |
| 7 | 30 | |
| 8 | The use of time as well as space in visual selection. | 1 |
| 9 | 65 | |
| 10 | 6 | |
| 11 | 60 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 40 | |
| 17 | 2 | |
| 18 | 14 | |
| 19 | 207 | |
| 20 | Abnormal responses to multi-element spatial stimuli in a subject with visual form agnosia | 1 |
About G. W. Humphreys
G. W. Humphreys is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology, having authored 30 papers that have together received 882 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (11 papers), Neural and Behavioral Psychology Studies (9 papers) and Face Recognition and Perception (7 papers). The work is most often cited by research in Cognitive Neuroscience (792 citations), Experimental and Cognitive Psychology (266 citations) and Developmental and Educational Psychology (98 citations). G. W. Humphreys has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Nick Donnelly, M. Jane Riddoch, Muriel Boucart, David Soto, John Hodsoll, Signe Vangkilde, Magdalena Chechlacz, Céline R. Gillebert, Anders Petersen and Ilona Kovács. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Neuropsychologia.
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.