George Mather
- Cognitive Neuroscience top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Social Psychology top 2%
- Cellular and Molecular Neuroscience top 5%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Stuart AnstisFrans A.J. VerstratenBernard MouldenAndrea PavanDavid R. SmithSarah WestGianluca CampanaClara Casco
- Topics
- Visual perception and processing mechanisms (73 papers)Neural dynamics and brain function (25 papers)Color Science and Applications (14 papers)
- Cited by
- Cognitive NeuroscienceComputer Vision and Pattern RecognitionExperimental and Cognitive Psychology
- Journals
- PLoS ONENeuroImageNeurology
- Partner nations
- United KingdomItalyCanada
In The Last Decade
George Mather
97 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cognitive Neuroscience 3.0k
- Computer Vision and Pattern Recognition 700
- Social Psychology 599
- Cellular and Molecular Neuroscience 559
- Experimental and Cognitive Psychology 414
Countries citing papers authored by George Mather
This map shows the geographic impact of George Mather'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 George Mather with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Mather more than expected).
Fields of papers citing papers by George Mather
This network shows the impact of papers produced by George Mather. 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 George Mather. The network helps show where George Mather may publish in the future.
Co-authorship network of co-authors of George Mather
This figure shows the co-authorship network connecting the top 25 collaborators of George Mather. A scholar is included among the top collaborators of George Mather 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 George Mather. George Mather is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 56 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 37 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 113 | |
| 10 | 16 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 64 | |
| 14 | 13 | |
| 15 | The motion aftereffect: A modern perspective. | 224 |
| 16 | 7 | |
| 17 | 67 | |
| 18 | 5 | |
| 19 | 17 | |
| 20 | 3 |
About George Mather
George Mather is a scholar working on Cognitive Neuroscience, Acoustics and Ultrasonics and Developmental Biology, having authored 103 papers that have together received 3.7k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (73 papers), Neural dynamics and brain function (25 papers) and Color Science and Applications (14 papers). The work is most often cited by research in Cognitive Neuroscience (3.0k citations), Computer Vision and Pattern Recognition (700 citations) and Experimental and Cognitive Psychology (414 citations). George Mather has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include Stuart Anstis, Frans A.J. Verstraten, Bernard Moulden, Andrea Pavan, David R. Smith, Sarah West, Gianluca Campana, Clara Casco, Michael J. Morgan and Urs P. Mosimann. Their work appears in journals such as PLoS ONE, NeuroImage and Neurology.
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.