George Mather

4.9k total citations · 1 hit paper
103 papers, 3.7k citations indexed

About

George Mather is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, George Mather has authored 103 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Cognitive Neuroscience, 18 papers in Computer Vision and Pattern Recognition and 15 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in George Mather's work include Visual perception and processing mechanisms (73 papers), Neural dynamics and brain function (25 papers) and Color Science and Applications (14 papers). George Mather is often cited by papers focused on Visual perception and processing mechanisms (73 papers), Neural dynamics and brain function (25 papers) and Color Science and Applications (14 papers). George Mather collaborates with scholars based in United Kingdom, Italy and Canada. George Mather's 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 and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

George Mather

97 papers receiving 3.6k citations

Hit Papers

Motion: The long and short of it 1989 2026 2001 2013 1989 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Motion: The long and short of it
    1989 529 citations George Mather et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
George Mather United Kingdom 28 3.0k 700 599 559 414 103 3.7k
V. S. Ramachandran United States 39 3.7k 1.2× 822 1.2× 870 1.5× 524 0.9× 978 2.4× 86 5.2k
R. von der Heydt United States 29 4.8k 1.6× 1.2k 1.7× 653 1.1× 856 1.5× 465 1.1× 72 5.5k
R.J. Watt United Kingdom 29 3.0k 1.0× 850 1.2× 548 0.9× 184 0.3× 553 1.3× 66 3.5k
Alan Johnston United Kingdom 32 3.2k 1.1× 917 1.3× 453 0.8× 310 0.6× 1.1k 2.6× 188 3.9k
David R. Badcock Australia 42 4.8k 1.6× 538 0.8× 514 0.9× 677 1.2× 583 1.4× 198 5.5k
Manfred Fahle Germany 39 5.4k 1.8× 533 0.8× 660 1.1× 612 1.1× 710 1.7× 191 6.1k
Andrew T. Smith United Kingdom 42 5.4k 1.8× 482 0.7× 631 1.1× 790 1.4× 630 1.5× 151 6.2k
Daniel Kersten United States 36 3.7k 1.2× 895 1.3× 640 1.1× 203 0.4× 626 1.5× 129 4.5k
Ian P. Howard Canada 32 3.0k 1.0× 581 0.8× 489 0.8× 198 0.4× 349 0.8× 85 3.8k
Lothar Spillmann Germany 32 2.8k 0.9× 338 0.5× 688 1.1× 363 0.6× 323 0.8× 116 3.2k

Countries citing papers authored by George Mather

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Skelton, Alice E., et al.. (2024). The perceived beauty of art is not strongly calibrated to the statistical regularities of real-world scenes. Scientific Reports. 14(1). 19368–19368.
2.
3.
Pavan, Andrea, et al.. (2017). The interaction between orientation and motion signals in moving oriented Glass patterns. Visual Neuroscience. 34. E010–E010. 13 indexed citations
4.
Mather, George. (2015). Changes in the apparent speed of human locomotion: norm-based coding of speed. Lincoln Repository (University of Lincoln). 1 indexed citations
5.
Pavan, Andrea, Adriano Contillo, & George Mather. (2014). Modelling fast forms of visual neural plasticity using a modified second-order motion energy model. Journal of Computational Neuroscience. 37(3). 493–504. 2 indexed citations
6.
Mather, George, et al.. (2013). Interactions between motion and form processing in the human visual system. Frontiers in Computational Neuroscience. 7. 65–65. 37 indexed citations
7.
Mather, George, et al.. (2012). Modelling adaptation using the Adelson-Bergen energy sensor. Journal of Vision. 12(9). 763–763.
8.
Pavan, Andrea, et al.. (2011). The effect of spatial orientation on detecting motion trajectories in noise. Vision Research. 51(18). 2077–2084. 5 indexed citations
9.
Mather, George, Andrea Pavan, Gianluca Campana, & Clara Casco. (2008). The motion aftereffect reloaded. Trends in Cognitive Sciences. 12(12). 481–487. 113 indexed citations
10.
Mather, George & David R. Smith. (2003). Combining depth cues: effects upon accuracy and speed of performance in a depth-ordering task. Vision Research. 44(6). 557–562. 16 indexed citations
11.
12.
Anstis, Stuart, David R. Smith, & George Mather. (2000). Luminance processing in apparent motion, Vernier offset and stereoscopic depth. Vision Research. 40(6). 657–675. 13 indexed citations
13.
Mather, George & David R. Smith. (2000). Depth cue integration: stereopsis and image blur. Vision Research. 40(25). 3501–3506. 64 indexed citations
14.
Mather, George, et al.. (1999). Second-order processing of four-stroke apparent motion. Vision Research. 39(10). 1795–1802. 13 indexed citations
15.
Mather, George, Frans A.J. Verstraten, & Stuart Anstis. (1998). The motion aftereffect: A modern perspective.. Lincoln Repository (University of Lincoln). 224 indexed citations
16.
Mather, George, et al.. (1997). Order-specific and Non-specific Motion Responses in the Human Visual System. Vision Research. 37(5). 605–611. 7 indexed citations
17.
Mather, George. (1996). Image blur as a pictorial depth cue. Proceedings of the Royal Society B Biological Sciences. 263(1367). 169–172. 67 indexed citations
18.
Mather, George, et al.. (1995). Motion detection in interleaved random dot patterns: Evidence for a rectifying nonlinearity preceding motion analysis. Vision Research. 35(15). 2117–2125. 5 indexed citations
19.
Anstis, Stuart, et al.. (1986). Computer-generated screening test for colorblindness. Color Research & Application. 11(4). 860–873. 17 indexed citations
20.
Mather, George & Stuart Anstis. (1986). Motion perception: second thoughts on the correspondence problem. 63–78. 3 indexed citations

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.

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