G. J. Burton

880 total citations
16 papers, 698 citations indexed

About

G. J. Burton is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, G. J. Burton has authored 16 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Atomic and Molecular Physics, and Optics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in G. J. Burton's work include Visual perception and processing mechanisms (11 papers), Color Science and Applications (6 papers) and Infrared Target Detection Methodologies (4 papers). G. J. Burton is often cited by papers focused on Visual perception and processing mechanisms (11 papers), Color Science and Applications (6 papers) and Infrared Target Detection Methodologies (4 papers). G. J. Burton collaborates with scholars based in United Kingdom, India and United States. G. J. Burton's co-authors include Ian R. Moorhead, Nigel D. Haig, K.H. Ruddock, George York, Erik Murphy-Chutorian, Jochen Triesch and Hyeon Woo Kim and has published in prestigious journals such as Vision Research, Journal of the Optical Society of America A and Biological Cybernetics.

In The Last Decade

G. J. Burton

16 papers receiving 658 citations

Peers

G. J. Burton
Comparison fields: 5 of 65
  • Cognitive Neuroscience 501
  • Atomic and Molecular Physics, and Optics 219
  • Computer Vision and Pattern Recognition 179
  • Social Psychology 83
  • Epidemiology 80
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Mark W. Cannon United States View profile →
Citations per field, relative to G. J. Burton
G. J. Burton · 1×
Citations per year, relative to G. J. Burton
G. J. Burton · 1×

Countries citing papers authored by G. J. Burton

Since Specialization
Citations

This map shows the geographic impact of G. J. Burton'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. J. Burton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. J. Burton more than expected).

Fields of papers citing papers by G. J. Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. J. Burton. 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. J. Burton. The network helps show where G. J. Burton may publish in the future.

Co-authorship network of co-authors of G. J. Burton

This figure shows the co-authorship network connecting the top 25 collaborators of G. J. Burton. A scholar is included among the top collaborators of G. J. Burton 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. J. Burton. G. J. Burton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 17
2 379
3 13
4 30
5 35
6 12
7 2
8 39
9 3
10 3
11 18
12 31
13 6
14 99
15 5
16 6

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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2026