Ivan Poupyrev
- Human-Computer Interaction top 0.01%
- Interactive and Immersive Displays 76
- Virtual Reality Applications and Impacts 23
- Gaze Tracking and Assistive Technology 7
- Usability and User Interface Design 7
- Cognitive Neuroscience top 0.5%
- Tactile and Sensory Interactions 50
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- Augmented Reality Applications 34
- Automotive Engineering top 2%
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- Advanced Sensor and Energy Harvesting Materials 9
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- Modular Robots and Swarm Intelligence 8
Ivan Poupyrev
96 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Human-Computer Interaction 6.8k
- Cognitive Neuroscience 4.1k
- Computer Vision and Pattern Recognition 3.3k
- Computer Graphics and Computer-Aided Design 198
- Automotive Engineering 445
Countries citing papers authored by Ivan Poupyrev
This map shows the geographic impact of Ivan Poupyrev'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 Ivan Poupyrev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Poupyrev more than expected).
Fields of papers citing papers by Ivan Poupyrev
This network shows the impact of papers produced by Ivan Poupyrev. 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 Ivan Poupyrev. The network helps show where Ivan Poupyrev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ivan Poupyrev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 69 | |
| 4 | 2017 | 24 | |
| 5 | Proceedings of the adjunct publication of the 26th annual ACM symposium on User interface software and technology | 2013 | 12 |
| 6 | 2013 | 59 | |
| 7 | 2012 | 51 | |
| 8 | 2012 | 94 | |
| 9 | 2012 | 47 | |
| 10 | 2010 | 3 | |
| 11 | 2009 | 2 | |
| 12 | 2008 | 5 | |
| 13 | 2004 | 63 | |
| 14 | 2002 | 30 | |
| 15 | 2002 | 81 | |
| 16 | 2002 | 1 | |
| 17 | 2001 | 5 | |
| 18 | Tiles: A Mixed Reality Authoring Interface. | 2001 | 48 |
| 19 | Augmented Groove : Collaborative Jamming in Augmented Reality | 2000 | 50 |
| 20 | 1998 | 230 |
About Ivan Poupyrev
Ivan Poupyrev is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Mechanical Engineering and Experimental and Cognitive Psychology, having authored 99 papers that have together received 9.2k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (76 papers), Tactile and Sensory Interactions (50 papers), Augmented Reality Applications (34 papers), Virtual Reality Applications and Impacts (23 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Modular Robots and Swarm Intelligence (8 papers), Gaze Tracking and Assistive Technology (7 papers) and Usability and User Interface Design (7 papers). The work is most often cited by research in Human-Computer Interaction (6.8k citations), Cognitive Neuroscience (4.1k citations), Computer Vision and Pattern Recognition (3.3k citations), Computer Graphics and Computer-Aided Design (198 citations) and Automotive Engineering (445 citations). Ivan Poupyrev has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Mark Billinghurst, Ali Israr, Doug A. Bowman, Joseph J. LaViola, Ernst Kruijff, Hirokazu Kato, Suzanne Weghorst, Chris Harrison, Shigeaki Maruyama and Tadao Ichikawa. Their work appears in journals such as ACM Transactions on Graphics, Communications of the ACM, Scientific Reports, IEEE Journal of Solid-State Circuits and Journal of Visual Languages & 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.