John A. Perrone

1.8k citations
54 papers · 1.4k · h-index 20

Impact in

Papers in

John A. Perrone

48 papers receiving 1.3k citations

Peers

John A. Perrone
Comparison fields: 5 of 101
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 261
  • Computer Vision and Pattern Recognition 301
  • Ophthalmology 114
  • Safety, Risk, Reliability and Quality 93
Replace Scott Watamaniuk with:
Scott Watamaniuk United States
K. I. Beverley Canada
Gang Luo United States
John A. Greenwood United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by John A. Perrone

Since Specialization
Citations

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

Fields of papers citing papers by John A. Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John A. Perrone, 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 A. Perrone Line = papers co-authored together John A. Perrone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994203
2 2001194
3 1992135
4 199782
5 199870
6 200267
7 201458
8 199855
9 200847
10 200839
11 200439
12 198238
13 198635
14 200531
15 200831
16 201229
17 201329
18 199025
19 198024
20 200619

About John A. Perrone

John A. Perrone is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Molecular Biology, Social Psychology and Cellular and Molecular Neuroscience, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (35 papers), Neural dynamics and brain function (17 papers), Advanced Vision and Imaging (10 papers), Retinal Development and Disorders (8 papers), Human-Automation Interaction and Safety (7 papers), Neurobiology and Insect Physiology Research (7 papers), Safety Warnings and Signage (6 papers) and Traffic and Road Safety (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (261 citations), Computer Vision and Pattern Recognition (301 citations), Ophthalmology (114 citations) and Safety, Risk, Reliability and Quality (93 citations). John A. Perrone has collaborated with scholars based in New Zealand, United States and Grenada. Frequent co-authors include Leland S. Stone, Alexander Thiele, Richard J. Krauzlis, Samuel G. Charlton, Robert B. Isler, Nicola J. Starkey, Helen Clark, David G. Smith, Cynthia H. Null and Jonathan Kim. Their work appears in journals such as Journal of Vision, Vision Research, Accident Analysis & Prevention, Perception and Journal of the Optical Society of America A.

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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