Brian D. Hall
Impact in
- Human-Computer Interaction top 1%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
- Innovative Human-Technology Interaction
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- Augmented Reality Applications
- Data Visualization and Analytics
Papers in
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- Augmented Reality Applications 3
- Data Visualization and Analytics 2
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- Virtual Reality Applications and Impacts 4
- Interactive and Immersive Displays 3
- Co-authors
- Maximilian Speicher (3 shared papers)Michael Nebeling (3 shared papers)Sanja Arandjelovic (1 shared paper)Steven L. Gonias (1 shared paper)Bowen Zhang (1 shared paper)Haihua Zhang (1 shared paper)Matthew Kay (2 shared papers)Michelle Aebersold (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Archives of Biochemistry and Biophysics (1 paper)Computer Graphics Forum (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Brian D. Hall
8 papers receiving 523 citations
Brian D. Hall's Hit Papers
Peers
Comparison fields: 5 of 101
- Human-Computer Interaction 321
- Computer Vision and Pattern Recognition 321
- Information Systems and Management 19
- Geology 13
- Cognitive Neuroscience 41
Countries citing papers authored by Brian D. Hall
This map shows the geographic impact of Brian D. Hall'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 Brian D. Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Hall more than expected).
Fields of papers citing papers by Brian D. Hall
This network shows the impact of papers produced by Brian D. Hall. 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 Brian D. Hall. The network helps show where Brian D. Hall may publish in the future.
Co-authors
The 15 scholars most cited alongside Brian D. Hall, 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 | What is Mixed Reality? Hit paper breakdown → | 2019 | 409 |
| 2 | 2020 | 43 | |
| 3 | 2018 | 36 | |
| 4 | 2005 | 31 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 13 | |
| 7 | 2017 | 2 | |
| 8 | 2016 | 1 |
About Brian D. Hall
Brian D. Hall is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Social Psychology, Surgery and Molecular Biology, having authored 8 papers that have together received 550 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (4 papers), Interactive and Immersive Displays (3 papers), Augmented Reality Applications (3 papers), Data Visualization and Analytics (2 papers), Human-Automation Interaction and Safety (2 papers), Blood properties and coagulation (1 paper), Surgical Simulation and Training (1 paper) and Spatial Cognition and Navigation (1 paper). The work is most often cited by research in Human-Computer Interaction (321 citations), Computer Vision and Pattern Recognition (321 citations), Information Systems and Management (19 citations), Geology (13 citations) and Cognitive Neuroscience (41 citations). Brian D. Hall has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Maximilian Speicher, Michael Nebeling, Sanja Arandjelovic, Steven L. Gonias, Bowen Zhang, Haihua Zhang, Matthew Kay, Michelle Aebersold, Yvonne Jansen and Pierre Dragicevic. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, IEEE Transactions on Visualization and Computer Graphics, Archives of Biochemistry and Biophysics and Computer Graphics Forum.
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.