Greg Saul
Impact in
- Human-Computer Interaction top 2%
- Interactive and Immersive Displays
- Innovative Human-Technology Interaction
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- Computer Graphics and Visualization Techniques
Papers in
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- Interactive and Immersive Displays 7
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- Augmented Reality Applications 3
- Co-authors
- Takeo Igarashi (3 shared papers)Jun Mitani (2 shared papers)Manfred Lau (2 shared papers)Mark D. Gross (2 shared papers)Cheng Xu (2 shared papers)Nicolas Villar (4 shared papers)Daniel Cletheroe (4 shared papers)Tim Regan (3 shared papers)
- Journals
- Human-Computer Interaction (1 paper)BMJ Open (1 paper)Medical Hypotheses (2 papers)Lancaster EPrints (Lancaster University) (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Greg Saul
14 papers receiving 387 citations
Peers
Comparison fields: 5 of 66
- Human-Computer Interaction 243
- Computer Graphics and Computer-Aided Design 46
- Architecture 19
- Computer Science Applications 47
- Computer Vision and Pattern Recognition 137
Countries citing papers authored by Greg Saul
This map shows the geographic impact of Greg Saul'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 Greg Saul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Saul more than expected).
Fields of papers citing papers by Greg Saul
This network shows the impact of papers produced by Greg Saul. 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 Greg Saul. The network helps show where Greg Saul may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Saul, 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 | 2010 | 145 | |
| 2 | 2018 | 66 | |
| 3 | 2010 | 59 | |
| 4 | 2018 | 53 | |
| 5 | 2010 | 37 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 1999 | 6 | |
| 9 | 2019 | 3 | |
| 10 | 1991 | 3 | |
| 11 | Co-Designed Paper Devices | 2009 | 2 |
| 12 | 2013 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2010 | 1 | |
| 15 | 2010 | 1 |
About Greg Saul
Greg Saul is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Mechanical Engineering, having authored 15 papers that have together received 404 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (7 papers), Tactile and Sensory Interactions (3 papers), Modular Robots and Swarm Intelligence (3 papers), Augmented Reality Applications (3 papers), Robotics and Sensor-Based Localization (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Teaching and Learning Programming (2 papers). The work is most often cited by research in Human-Computer Interaction (243 citations), Computer Graphics and Computer-Aided Design (46 citations), Architecture (19 citations), Computer Science Applications (47 citations) and Computer Vision and Pattern Recognition (137 citations). Greg Saul has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Takeo Igarashi, Jun Mitani, Manfred Lau, Mark D. Gross, Cheng Xu, Nicolas Villar, Daniel Cletheroe, Tim Regan, Hui-Shyong Yeo and Haiyan Zhang. Their work appears in journals such as Human-Computer Interaction, BMJ Open, Medical Hypotheses and Lancaster EPrints (Lancaster University).
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.