David R. Flatla

1.0k citations
38 papers · 814 · h-index 17

Impact in

Papers in

David R. Flatla

38 papers receiving 779 citations

Peers

David R. Flatla
Comparison fields: 5 of 87
  • Human-Computer Interaction 333
  • Human Factors and Ergonomics 65
  • Cognitive Neuroscience 287
  • Developmental and Educational Psychology 141
  • Occupational Therapy 33
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Chris Creed United Kingdom
Sandra Baldassarri Spain
Oussama Metatla United Kingdom
Cristina Manresa-Yee Spain
Danielle Bragg United States
Areej Al‐Wabil Saudi Arabia
Stuart MacFarlane United Kingdom
Ian Pitt Ireland
Orly Lahav Israel
Kirsten Ellis Australia
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Citations per field
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Citations per year

Countries citing papers authored by David R. Flatla

Since Specialization
Citations

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

Fields of papers citing papers by David R. Flatla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Flatla. 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 David R. Flatla. The network helps show where David R. Flatla may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011197
2 201695
3 201345
4 201737
5 201636
6 201235
7 201831
8 201728
9 201027
10 201825
11 201325
12 201525
13 201323
14 201121
15 201219
16 201917
17 201617
18 201212
19 201711
20 201710

About David R. Flatla

David R. Flatla is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Social Psychology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 38 papers that have together received 814 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (16 papers), Color Science and Applications (14 papers), Visual perception and processing mechanisms (13 papers), Color perception and design (12 papers), Interactive and Immersive Displays (6 papers), Hearing Impairment and Communication (4 papers), Multisensory perception and integration (3 papers) and Digital Accessibility for Disabilities (3 papers). The work is most often cited by research in Human-Computer Interaction (333 citations), Human Factors and Ergonomics (65 citations), Cognitive Neuroscience (287 citations), Developmental and Educational Psychology (141 citations) and Occupational Therapy (33 citations). David R. Flatla has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Carl Gutwin, Garreth W. Tigwell, Scott Bateman, Regan L. Mandryk, Lennart E. Nacke, Rachel Menzies, Krzysztof Z. Gajos, Christopher Brooks, Katharina Reinecke and Katharina Reinecke. Their work appears in journals such as Behaviour and Information Technology, ACM Transactions on Accessible Computing, University Library - University of Saskatchewan (University of Saskatchewan), CHI Conference on Human Factors in Computing Systems and ACM SIGACCESS Accessibility and Computing.

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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