John P. Frisby

2.6k citations
60 papers · 1.9k indexed · h-index 23

John P. Frisby

58 papers receiving 1.8k citations

Peers

John P. Frisby
Comparison fields: 5 of 113
  • Cognitive Neuroscience 1.3k
  • Computer Vision and Pattern Recognition 733
  • Computer Graphics and Computer-Aided Design 117
  • Media Technology 210
  • Social Psychology 237
Replace K. Prazdny with:
K. Prazdny United States
Barbara Gillam Australia
Albert J. Ahumada United States
Hans Wallach United States
Joyce Farrell United States
Barton L. Anderson Australia
Thomas V. Papathomas United States
Maureen Graham United Kingdom
Gerald Silverman United States
Daniel Kersten United States
John P. Frisby relative to K. Prazdny United States K. Prazdny's profile →
Citations per field
00.5×1.5×
K. Prazdny · 1×
Citations per year

Countries citing papers authored by John P. Frisby

Since Specialization
Citations

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

Fields of papers citing papers by John P. Frisby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Frisby. 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 P. Frisby. The network helps show where John P. Frisby may publish in the future.

Co-authorship network

The 24 scholars most cited alongside John P. Frisby, 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 P. Frisby Line = papers co-authored together John P. Frisby links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Seeing, Second Edition: The Computational Approach to Biological Vision
201010
2 20102
3 20082
4 20046
5 20028
6 199923
7 19998
8
Stereo correspondence and neural networks
19981
9 19982
10 19976
11 199624
12 199623
13 199619
14 199519
15 199383
16
3D Model Recognition from Stereoscopic Cues
199116
17 199028
18 198724
19 197818
20 197535

About John P. Frisby

John P. Frisby is a scholar working on Computer Graphics and Computer-Aided Design, Cognitive Neuroscience, Media Technology, Computer Vision and Pattern Recognition and Ophthalmology, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (47 papers), Advanced Vision and Imaging (16 papers), Neural dynamics and brain function (11 papers), Advanced Optical Imaging Technologies (11 papers), Computer Graphics and Visualization Techniques (9 papers), Ophthalmology and Visual Impairment Studies (7 papers), Color Science and Applications (6 papers) and Optical measurement and interference techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Computer Vision and Pattern Recognition (733 citations), Computer Graphics and Computer-Aided Design (117 citations), Media Technology (210 citations) and Social Psychology (237 citations). John P. Frisby has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include John E. W. Mayhew, Stephen Pollard, David Buckley, James L. Zacks, Béla Julesz, John Porrill, John Mayhew, Janet Horsman, Wendy J. Adams and Ilona Roth. Their work appears in journals such as Perception, Vision Research, Nature, Ophthalmic and Physiological Optics 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026