Austin Erickson

491 citations
26 papers · 330 · h-index 12

Impact in

Papers in

    • Virtual Reality Applications and Impacts 18
    • Interactive and Immersive Displays 3
    • Gaze Tracking and Assistive Technology 3
    • Tactile and Sensory Interactions 5
    • Visual perception and processing mechanisms 5

Austin Erickson

24 papers receiving 325 citations

Peers

Austin Erickson
Comparison fields: 5 of 71
  • Human-Computer Interaction 216
  • Computer Vision and Pattern Recognition 147
  • Cognitive Neuroscience 85
  • Media Technology 39
  • Social Psychology 82
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Citations per year

Countries citing papers authored by Austin Erickson

Since Specialization
Citations

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

Fields of papers citing papers by Austin Erickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Austin Erickson, 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 Austin Erickson Line = papers co-authored together Austin Erickson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202040
2 201940
3 201932
4 202031
5 202026
6 202117
7 202217
8 201917
9 201916
10 202015
11 202014
12 202012
13 202111
14 20239
15 20207
16 20205
17 20225
18 20224
19 20214
20 20223

About Austin Erickson

Austin Erickson is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Social Psychology and Media Technology, having authored 26 papers that have together received 330 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (18 papers), Augmented Reality Applications (9 papers), Advanced Optical Imaging Technologies (6 papers), Color perception and design (5 papers), Tactile and Sensory Interactions (5 papers), Visual perception and processing mechanisms (5 papers), Interactive and Immersive Displays (3 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Human-Computer Interaction (216 citations), Computer Vision and Pattern Recognition (147 citations), Cognitive Neuroscience (85 citations), Media Technology (39 citations) and Social Psychology (82 citations). Austin Erickson has collaborated with scholars based in United States and Canada. Frequent co-authors include Greg Welch, Gerd Bruder, Kangsoo Kim, Nahal Norouzi, Ryan Schubert, Joseph J. LaViola, Jeremy N. Bailenson, Myungho Lee, Pamela Wiśniewski and Yifan Li. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Applied Perception, Computers & Graphics, Journal of Vision and ACM Transactions on Accessible 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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