Ryan Schubert

466 citations
26 papers · 332 · h-index 12

Impact in

Papers in

Ryan Schubert

24 papers receiving 324 citations

Peers

Ryan Schubert
Comparison fields: 5 of 78
  • Human-Computer Interaction 220
  • Computer Vision and Pattern Recognition 141
  • Social Psychology 87
  • Cognitive Neuroscience 67
  • Health Informatics 2
Replace Pedro Monteiro with:
Pedro Monteiro Portugal
Rufat Rzayev Germany
Siroberto Scerbo United States
Jascha Achenbach Germany
Jonathon Derek Hart Australia
Austin Erickson United States
Oyewole Oyekoya United States
Jerald Thomas United States
Ekaterina Volkova Germany
Mai Otsuki Japan
Ryan Schubert relative to Pedro Monteiro Portugal Pedro Monteiro's profile →
Citations per field
00.5×
Pedro Monteiro · 1×
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 25 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201642
2 201940
3 202026
4 201925
5 201920
6 201118
7
Anticipating Widespread Augmented Reality: Insights from the 2018 AR Visioning Workshop
201918
8 201917
9 201916
10 201314
11 202114
12 202012
13 201710
14 20239
15 20169
16 20179
17 20198
18 20127
19 20206
20 20234

About Ryan Schubert

Ryan Schubert is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Social Psychology, Cognitive Neuroscience and Control and Systems Engineering, having authored 26 papers that have together received 332 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (14 papers), Augmented Reality Applications (9 papers), Action Observation and Synchronization (5 papers), Tactile and Sensory Interactions (5 papers), Interactive and Immersive Displays (3 papers), Social Robot Interaction and HRI (3 papers), Simulation-Based Education in Healthcare (2 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Human-Computer Interaction (220 citations), Computer Vision and Pattern Recognition (141 citations), Social Psychology (87 citations), Cognitive Neuroscience (67 citations) and Health Informatics (2 citations). Ryan Schubert has collaborated with scholars based in United States and Italy. Frequent co-authors include Greg Welch, Gerd Bruder, Kangsoo Kim, Austin Erickson, Jeremy N. Bailenson, Myungho Lee, Nahal Norouzi, Andrew Raij, Feng Zheng and Joseph J. LaViola. Their work appears in journals such as IEEE Computer Graphics and Applications, Computers & Graphics, Simulation in Healthcare The Journal of the Society for Simulation in Healthcare, Biophysical Journal and Journal on Multimodal User Interfaces.

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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