John E. W. Mayhew

2.5k citations
48 papers · 2.1k · h-index 19

Impact in

Papers in

John E. W. Mayhew

46 papers receiving 1.9k citations

Peers

John E. W. Mayhew
Comparison fields: 5 of 115
  • Cognitive Neuroscience 1.1k
  • Computer Vision and Pattern Recognition 722
  • Computer Graphics and Computer-Aided Design 92
  • Cellular and Molecular Neuroscience 326
  • Media Technology 148
Replace Suzanne P. McKee with:
Suzanne P. McKee United States
Kenneth R. Sloan United States
Jyrki M. Rovamo Finland
Andreas Klaus United States
Norberto Mauricio Grzywacz United States
Hans Wallach United States
David M. Regan Canada
J. J. Kulikowski United Kingdom
Peter John Bex United States
John Porrill United Kingdom
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Citations per year

Countries citing papers authored by John E. W. Mayhew

Since Specialization
Citations

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

Fields of papers citing papers by John E. W. Mayhew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. W. Mayhew. 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 John E. W. Mayhew. The network helps show where John E. W. Mayhew may publish in the future.

Co-authors

The 25 scholars most cited alongside John E. W. Mayhew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John E. W. Mayhew Line = papers co-authored together John E. W. Mayhew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985398
2 1981318
3 1996280
4 2005247
5 1994119
6 2011107
7 198057
8 197842
9 198139
10 197839
11 199334
12 199026
13 201225
14 197925
15 198724
16 197724
17 197824
18 200522
19 198920
20 199119

About John E. W. Mayhew

John E. W. Mayhew is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Media Technology and Atomic and Molecular Physics, and Optics, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (23 papers), Advanced Vision and Imaging (12 papers), Neural dynamics and brain function (9 papers), Advanced MRI Techniques and Applications (8 papers), Optical Imaging and Spectroscopy Techniques (6 papers), Color Science and Applications (5 papers), Optical measurement and interference techniques (5 papers) and Advanced Optical Imaging Technologies (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Computer Vision and Pattern Recognition (722 citations), Computer Graphics and Computer-Aided Design (92 citations), Cellular and Molecular Neuroscience (326 citations) and Media Technology (148 citations). John E. W. Mayhew has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include John P. Frisby, Stephen B Pollard, Peter Redgrave, Ying Zheng, Paul Geoffrey Overton, John Porrill, Paul Dean, G. W. Max Westby, David M. Rector and Ronald M. Harper. Their work appears in journals such as Perception, NeuroImage, Vision Research, Science and Image and Vision Computing.

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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