Janet Johnson
Impact in
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
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- Augmented Reality Applications
Papers in
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- Augmented Reality Applications 8
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- Virtual Reality Applications and Impacts 7
- Interactive and Immersive Displays 3
- Innovative Human-Technology Interaction 2
- Co-authors
- Nadir Weibel (12 shared papers)Thomas J. Sharkey (7 shared papers)Michael C. Yip (3 shared papers)Konrad Davis (3 shared papers)Xinming Zhang (2 shared papers)Ru Wang (1 shared paper)Vijay M. Ravindra (1 shared paper)Erik J. Olson (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (1 paper)Applied Nursing Research (1 paper)Surgery (1 paper)Gerontology and Geriatric Medicine (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Janet Johnson
13 papers receiving 248 citations
Peers
Comparison fields: 5 of 71
- Human-Computer Interaction 128
- Computer Vision and Pattern Recognition 153
- Issues, ethics and legal aspects 4
- Radiological and Ultrasound Technology 16
- Surgery 78
Countries citing papers authored by Janet Johnson
This map shows the geographic impact of Janet Johnson'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 Janet Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Johnson more than expected).
Fields of papers citing papers by Janet Johnson
This network shows the impact of papers produced by Janet Johnson. 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 Janet Johnson. The network helps show where Janet Johnson may publish in the future.
Co-authors
The 21 scholars most cited alongside Janet Johnson, 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 | 2021 | 87 | |
| 2 | 2014 | 43 | |
| 3 | 2020 | 32 | |
| 4 | 2019 | 31 | |
| 5 | 2021 | 15 | |
| 6 | 2022 | 12 | |
| 7 | 2018 | 12 | |
| 8 | 2019 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2018 | 3 | |
| 11 | 2019 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Janet Johnson
Janet Johnson is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Surgery, Automotive Engineering and Radiological and Ultrasound Technology, having authored 15 papers that have together received 258 indexed citations. Recurring topics across this work include Augmented Reality Applications (8 papers), Virtual Reality Applications and Impacts (7 papers), Surgical Simulation and Training (4 papers), Interactive and Immersive Displays (3 papers), Family and Patient Care in Intensive Care Units (2 papers), Grief, Bereavement, and Mental Health (2 papers), Innovative Human-Technology Interaction (2 papers) and Spatial Cognition and Navigation (2 papers). The work is most often cited by research in Human-Computer Interaction (128 citations), Computer Vision and Pattern Recognition (153 citations), Issues, ethics and legal aspects (4 citations), Radiological and Ultrasound Technology (16 citations) and Surgery (78 citations). Janet Johnson has collaborated with scholars based in United States and China. Frequent co-authors include Nadir Weibel, Thomas J. Sharkey, Michael C. Yip, Konrad Davis, Xinming Zhang, Ru Wang, Vijay M. Ravindra, Erik J. Olson, Matthew D. Tadlock and Michael Krzyżaniak. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Applied Nursing Research, Surgery and Gerontology and Geriatric Medicine.
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.