Ryan Schubert

475 citations
30 papers · 390 · h-index 12

Impact in

Papers in

Ryan Schubert

28 papers receiving 385 citations

Peers

Ryan Schubert
Comparison fields: 5 of 61
  • Human-Computer Interaction 252
  • Computer Vision and Pattern Recognition 118
  • Social Psychology 100
  • Computer Graphics and Computer-Aided Design 12
  • Media Technology 9
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Mai Otsuki Japan
Catherine Zanbaka United States
Florian Weidner Germany
Mingyu Kim South Korea
Siroberto Scerbo United States
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Hyung-il Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Ryan Schubert

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ryan Schubert, 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 Ryan Schubert Line = papers co-authored together Ryan Schubert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 201948
3 201931
4 202027
5 201920
6 201920
7 201118
8
Anticipating Widespread Augmented Reality: Insights from the 2018 AR Visioning Workshop
201918
9 201917
10 201315
11 202115
12 201714
13 202012
14 201711
15 201610
16 201610
17 20179
18 20239
19 20128
20 20197

About Ryan Schubert

Ryan Schubert is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Social Psychology, Emergency Medicine and Physiology, having authored 30 papers that have together received 390 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (14 papers), Augmented Reality Applications (12 papers), Social Robot Interaction and HRI (8 papers), Interactive and Immersive Displays (6 papers), Hospital Admissions and Outcomes (2 papers), Simulation-Based Education in Healthcare (2 papers), Gaze Tracking and Assistive Technology (2 papers) and Blood properties and coagulation (1 paper). The work is most often cited by research in Human-Computer Interaction (252 citations), Computer Vision and Pattern Recognition (118 citations), Social Psychology (100 citations), Computer Graphics and Computer-Aided Design (12 citations) and Media Technology (9 citations). Ryan Schubert has collaborated with scholars based in United States. Frequent co-authors include Greg Welch, Kangsoo Kim, Gerd Bruder, Myungho Lee, Jeremy N. Bailenson, Austin Erickson, Nahal Norouzi, Andrew B. Raij, Joseph J. LaViola and Peter Squire. Their work appears in journals such as IEEE Computer Graphics and Applications, Computers & Graphics, Biophysical Journal, Simulation in Healthcare The Journal of the Society for Simulation in Healthcare and Lecture notes in computer science.

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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