Kevin Larson

1.8k citations
32 papers · 1.0k indexed · h-index 13

Kevin Larson

30 papers receiving 894 citations

Peers

Kevin Larson
Comparison fields: 5 of 85
  • Human-Computer Interaction 378
  • Information Systems and Management 165
  • Information Systems 389
  • Computer Vision and Pattern Recognition 333
  • Signal Processing 171
Replace Kirstie Hawkey with:
Kirstie Hawkey Canada
Bill Kules United States
Tim Paek United States
Bongshin Lee United States
Ranjitha Kumar United States
Moira C. Norrie Switzerland
Kerry Rodden United States
Nicole Yankelovich United States
Polle T. Zellweger United States
Vidya Setlur United States
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Citations per field
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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-authorship network

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
#Work
1 20222
2 20215
3 20205
4
What exactly is the difference between a text and a display typeface
20171
5 201710
6 201225
7 20116
8 201024
9 20104
10
or how I learned to stop worrying and love the bouma
20081
11 20081
12
Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs)
2005110
13
The Science of Word Recognition
200514
14 2005147
15
The Aesthetics of Reading
20057
16
Cognition and the Web: Moving from Theory to Web Design
20029
17 200017
18 19983
19 19984
20 1998347

About Kevin Larson

Kevin Larson is a scholar working on Human-Computer Interaction, Human Factors and Ergonomics and Experimental and Cognitive 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), Visual perception and processing mechanisms (3 papers), Reading and Literacy Development (3 papers), Image and Video Quality Assessment (3 papers), Multisensory perception and integration (3 papers) and Color perception and design (3 papers). The work is most often cited by research in Human-Computer Interaction (378 citations), Information Systems and Management (165 citations) and Information Systems (389 citations). Kevin Larson has collaborated with scholars based in United States, Belgium and Denmark. Frequent co-authors include Mary Czerwinski, Kumar Chellapilla, Maarten van Dantzich, Daniel C. Robbins, George Robertson, 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, INFORMS Journal on Applied Analytics, Journal of Vision, Proceedings of the ACM on Human-Computer Interaction and interactions.

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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