Mark Sutton
Impact in
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- Particle Detector Development and Performance
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- Virtual Reality Applications and Impacts
Papers in ⓘ
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- Particle Detector Development and Performance 4
- Particle physics theoretical and experimental studies 3
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- Medical Imaging Techniques and Applications 2
- Co-authors
- H. Drevermann (2 shared papers)M. Warren (1 shared paper)F. Parodi (1 shared paper)Lachlan Mason (1 shared paper)R. Brenner (1 shared paper)I. Bizjak (1 shared paper)D. Emeliyanov (1 shared paper)M. Cervetto (1 shared paper)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)CERN Bulletin (1 paper)IEEE Symposium Conference Record Nuclear Science 2004. (1 paper)Bulletin of the American Physical Society (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United KingdomSwitzerland
In The Last Decade
Mark Sutton
5 papers receiving 5 citations
Peers
Comparison fields: 5 of 8
- Nuclear and High Energy Physics 3
- Human-Computer Interaction 1
- Media Technology 1
- Computer Vision and Pattern Recognition 2
- Computer Networks and Communications 1
Countries citing papers authored by Mark Sutton
This map shows the geographic impact of Mark Sutton'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 Mark Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sutton more than expected).
Fields of papers citing papers by Mark Sutton
This network shows the impact of papers produced by Mark Sutton. 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 Mark Sutton. The network helps show where Mark Sutton may publish in the future.
Co-authors
The 15 scholars most cited alongside Mark Sutton, 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 | Use of Multi-sensory Immersive Technologies in Fluid Dynamics Education | 2019 | 1 |
| 2 | 2007 | 1 | |
| 3 | 2005 | 1 | |
| 4 | 2005 | 1 | |
| 5 | 2009 | 1 |
About Mark Sutton
Mark Sutton is a scholar working on Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging, Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 5 papers that have together received 5 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (4 papers), Particle physics theoretical and experimental studies (3 papers), Medical Imaging Techniques and Applications (2 papers), Experimental and Theoretical Physics Studies (1 paper), Advanced Data Storage Technologies (1 paper), Algorithms and Data Compression (1 paper) and Advancements in PLL and VCO Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (3 citations), Human-Computer Interaction (1 citation), Media Technology (1 citation), Computer Vision and Pattern Recognition (2 citations) and Computer Networks and Communications (1 citation). Mark Sutton has collaborated with scholars based in United Kingdom and Switzerland. Frequent co-authors include H. Drevermann, M. Warren, F. Parodi, Lachlan Mason, R. Brenner, I. Bizjak, D. Emeliyanov, M. Cervetto, Omar K. Matar and Lyes Kahouadji. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, CERN Bulletin, IEEE Symposium Conference Record Nuclear Science 2004., Bulletin of the American Physical Society and CERN Document Server (European Organization for Nuclear Research).
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.