Sue Long
Impact in
- Human-Computer Interaction top 1%
- Interactive and Immersive Displays
- Usability and User Interface Design
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- Context-Aware Activity Recognition Systems
- Augmented Reality Applications
Papers in
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- Context-Aware Activity Recognition Systems 3
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- Interactive and Immersive Displays 2
- Co-authors
- Gregory D. Abowd (4 shared papers)Christopher G. Atkeson (3 shared papers)Rob Kooper (3 shared papers)Mike Pinkerton (1 shared paper)Jason Hong (1 shared paper)Nitin Sawhney (1 shared paper)Cindy E. Hmelo (1 shared paper)Chris Atkeson (1 shared paper)
- Journals
- The American Surgeon (1 paper)Wireless Networks (1 paper)British Journal of Community Nursing (1 paper)International Journal of Therapy and Rehabilitation (1 paper)Paediatric Care (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Sue Long
8 papers receiving 1.1k citations
Sue Long's Hit Papers
Peers
Comparison fields: 5 of 82
- Human-Computer Interaction 319
- Computer Vision and Pattern Recognition 881
- Transportation 163
- Computer Networks and Communications 417
- Signal Processing 164
Countries citing papers authored by Sue Long
This map shows the geographic impact of Sue Long'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 Sue Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Long more than expected).
Fields of papers citing papers by Sue Long
This network shows the impact of papers produced by Sue Long. 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 Sue Long. The network helps show where Sue Long may publish in the future.
Co-authors
The 13 scholars most cited alongside Sue Long, 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 | Cyberguide: A mobile context‐aware tour guide Hit paper breakdown → | 1997 | 874 |
| 2 | 1996 | 196 | |
| 3 | 1996 | 152 | |
| 4 | 1996 | 65 | |
| 5 | 2007 | 24 | |
| 6 | 2008 | 19 | |
| 7 | 1997 | 7 | |
| 8 | 2020 | 2 |
About Sue Long
Sue Long is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Networks and Communications, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (3 papers), Interactive and Immersive Displays (2 papers), Physical Activity and Health (2 papers), Stroke Rehabilitation and Recovery (2 papers), Cardiac Health and Mental Health (2 papers), Bluetooth and Wireless Communication Technologies (2 papers), Multimedia Communication and Technology (1 paper) and Global Health Workforce Issues (1 paper). The work is most often cited by research in Human-Computer Interaction (319 citations), Computer Vision and Pattern Recognition (881 citations), Transportation (163 citations), Computer Networks and Communications (417 citations) and Signal Processing (164 citations). Sue Long has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Gregory D. Abowd, Christopher G. Atkeson, Rob Kooper, Mike Pinkerton, Jason Hong, Nitin Sawhney, Cindy E. Hmelo, Chris Atkeson, John Unsworth and Shelina Visram. Their work appears in journals such as The American Surgeon, Wireless Networks, British Journal of Community Nursing, International Journal of Therapy and Rehabilitation and Paediatric Care.
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.