John A. Perrone

1.8k citations
54 papers · 1.5k · h-index 20

Impact in

Papers in

John A. Perrone

47 papers receiving 1.4k citations

Peers

John A. Perrone
Comparison fields: 5 of 100
  • Cognitive Neuroscience 1.2k
  • Cellular and Molecular Neuroscience 280
  • Computer Vision and Pattern Recognition 326
  • Ophthalmology 117
  • Safety, Risk, Reliability and Quality 90
Replace Scott N. J. Watamaniuk with:
Scott N. J. Watamaniuk United States
K. I. Beverley Canada
Constance S. Royden United States
Gang Luo United States
Ingo Rentschler Germany
Zijiang J. He United States
Duane R. Geruschat United States
Mark Nawrot United States
Teng Leng Ooi United States
Maureen Graham United Kingdom
John A. Perrone relative to Scott N. J. Watamaniuk United States Scott N. J. Watamaniuk's profile →
Citations per field
00.5×2×3×3.9×
Scott N. J. Watamaniuk · 1×
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 1994214
2 2001204
3 1992148
4 199784
5 199876
6 200271
7 199861
8 201459
9 200851
10 200446
11 200839
12 198238
13 200535
14 198635
15 201233
16 200832
17 201329
18 199028
19 198025
20 200624

About John A. Perrone

John A. Perrone is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Social Psychology and Safety, Risk, Reliability and Quality, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (36 papers), Neural dynamics and brain function (18 papers), Advanced Vision and Imaging (11 papers), Neurobiology and Insect Physiology Research (8 papers), Retinal Development and Disorders (8 papers), Human-Automation Interaction and Safety (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 (1.2k citations), Cellular and Molecular Neuroscience (280 citations), Computer Vision and Pattern Recognition (326 citations), Ophthalmology (117 citations) and Safety, Risk, Reliability and Quality (90 citations). John A. Perrone has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Leland S. Stone, Alexander Thiele, Richard J. Krauzlis, Samuel G. Charlton, Robert B. Isler, Nicola Jayne Starkey, Helen Clark, Timothy L. Edwards, Jonathan D. Kim and Cynthia H. Null. Their work appears in journals such as Journal of Vision, Vision Research, Accident Analysis & Prevention, Perception and Journal of Neuroscience.

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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