Kevin Larson

30 papers receiving 903 citations

Peers

Kevin Larson
Comparison fields: 5 of 85
  • Human-Computer Interaction 380
  • Information Systems and Management 167
  • Information Systems 390
  • Computer Vision and Pattern Recognition 335
  • Signal Processing 171
Replace Kirstie Hawkey with:
Kirstie Hawkey Canada
Tim Paek United States
Bill Kules United States
Moira C. Norrie Switzerland
Ranjitha Kumar United States
Kerry Rodden United States
Polle T. Zellweger United States
Nicole Yankelovich United States
Vidya Setlur United States
Fanny Chevalier Canada
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Citations per year

Countries citing papers authored by Kevin Larson

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998351
2 1998162
3 2005148
4
Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs)
2005110
5 201225
6 201025
7 201323
8 201920
9 200718
10 200017
11 200315
12
The Science of Word Recognition
200514
13 200813
14 201710
15
Cognition and the Web: Moving from Theory to Web Design
20029
16 20138
17 20177
18 20207
19
The Aesthetics of Reading
20057
20 20116

About Kevin Larson

Kevin Larson is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Usability and User Interface Design (6 papers), Color Science and Applications (5 papers), Digital Accessibility for Disabilities (4 papers), Color perception and design (3 papers), Multisensory perception and integration (3 papers), Reading and Literacy Development (3 papers), Image and Video Quality Assessment (3 papers) and Visual perception and processing mechanisms (3 papers). The work is most often cited by research in Human-Computer Interaction (380 citations), Information Systems and Management (167 citations), Information Systems (390 citations), Computer Vision and Pattern Recognition (335 citations) and Signal Processing (171 citations). Kevin Larson has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Mary Czerwinski, Kumar Chellapilla, Maarten van Dantzich, George Robertson, Daniel C. Robbins, Patrice Simard, Patrice Y. Simard, Sofie Beier, David Mowatt and Joyce Farrell. Their work appears in journals such as Journal of the Society for Information Display, PLoS ONE, interactions, Journal of Display Technology and Proceedings of the ACM on Human-Computer Interaction.

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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