Garrett Johnson

1.6k citations
49 papers · 1.1k · h-index 14

Impact in

Papers in

Garrett Johnson

45 papers receiving 973 citations

Peers

Garrett Johnson
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 804
  • Computer Graphics and Computer-Aided Design 108
  • Media Technology 238
  • Atomic and Molecular Physics, and Optics 534
  • Cognitive Neuroscience 152
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Helge Seetzen Canada
Lavanya Sharan United States
Paul M. Hubel United States
Hans Brettel France
Peter G. J. Barten Switzerland
Gary W. Meyer United States
Juan L. Nieves Spain
Daniele Marini Italy
Matthew Trentacoste Canada
Ivar Farup Norway
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Citations per field
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Citations per year

Countries citing papers authored by Garrett Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Garrett Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garrett Johnson. 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 Garrett Johnson. The network helps show where Garrett Johnson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007242
2 2003145
3 200892
4 200786
5 200458
6 200254
7 201850
8 200341
9 201038
10
On Contrast Sensitivity in an Image Difference Model.
200225
11 200123
12 200322
13 199916
14 200014
15 200713
16 200012
17 200411
18 202111
19 200410
20 200210

About Garrett Johnson

Garrett Johnson is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Social Psychology, Cognitive Neuroscience and Computer Graphics and Computer-Aided Design, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Color Science and Applications (30 papers), Image Enhancement Techniques (17 papers), Color perception and design (11 papers), Visual perception and processing mechanisms (9 papers), Computer Graphics and Visualization Techniques (8 papers), Image and Video Quality Assessment (7 papers), Advanced Image Fusion Techniques (6 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (804 citations), Computer Graphics and Computer-Aided Design (108 citations), Media Technology (238 citations), Atomic and Molecular Physics, and Optics (534 citations) and Cognitive Neuroscience (152 citations). Garrett Johnson has collaborated with scholars based in United States, Netherlands and Bangladesh. Frequent co-authors include Mark D. Fairchild, Jiangtao Kuang, Hiroshi Yamaguchi, Erik Reinhard, Erum Arif Khan, Ahmet Oğuz Akyüz, Changmeng Liu, Ethan D. Montag, Peter Willemsen and Tamara Munzner. Their work appears in journals such as Color Research & Application, ACM Transactions on Applied Perception, JACC: Cardiovascular Interventions, Journal of the Society for Information Display and Frontiers in Neuroinformatics.

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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