T. Whyntie
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
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- Radiation Detection and Scintillator Technologies 5
- Advanced Radiotherapy Techniques 2
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- Particle Detector Development and Performance 6
- Particle physics theoretical and experimental studies 3
- Dark Matter and Cosmic Phenomena 2
- Co-authors
- M. Jorge Cardoso (1 shared paper)Sébastien Ourselin (1 shared paper)Tom Vercauteren (1 shared paper)Dzhoshkun I. Shakir (1 shared paper)Eli Gibson (1 shared paper)Tom Doel (1 shared paper)Dean C. Barratt (1 shared paper)Zach Eaton-Rosen (1 shared paper)
- Journals
- Computer Methods and Programs in Biomedicine (1 paper)Journal of Applied Clinical Medical Physics (1 paper)Contemporary Physics (1 paper)Journal of Instrumentation (1 paper)Biomedical Physics & Engineering Express (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
T. Whyntie
9 papers receiving 394 citations
T. Whyntie's Hit Papers
Peers
Comparison fields: 5 of 88
- Health Informatics 19
- Radiology, Nuclear Medicine and Imaging 152
- Neurology 50
- Computer Vision and Pattern Recognition 108
- Radiation 40
Countries citing papers authored by T. Whyntie
This map shows the geographic impact of T. Whyntie'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 T. Whyntie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Whyntie more than expected).
Fields of papers citing papers by T. Whyntie
This network shows the impact of papers produced by T. Whyntie. 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 T. Whyntie. The network helps show where T. Whyntie may publish in the future.
Co-authors
The 22 scholars most cited alongside T. Whyntie, 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 | NiftyNet: a deep-learning platform for medical imaging Hit paper breakdown → | 2018 | 365 |
| 2 | 2015 | 11 | |
| 3 | 2014 | 10 | |
| 4 | 2013 | 9 | |
| 5 | 2016 | 6 | |
| 6 | 2015 | 5 | |
| 7 | Introducing Particle Physics: A Graphic Guide | 2014 | 2 |
| 8 | 2022 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 2024 | 0 |
About T. Whyntie
T. Whyntie is a scholar working on Radiation, Nuclear and High Energy Physics, Computer Networks and Communications, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 410 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (6 papers), Radiation Detection and Scintillator Technologies (5 papers), Particle physics theoretical and experimental studies (3 papers), Advanced Radiotherapy Techniques (2 papers), Dark Matter and Cosmic Phenomena (2 papers), Distributed and Parallel Computing Systems (1 paper), Radiation Effects in Electronics (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (152 citations), Neurology (50 citations), Computer Vision and Pattern Recognition (108 citations) and Radiation (40 citations). T. Whyntie has collaborated with scholars based in United Kingdom. Frequent co-authors include M. Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren, Dzhoshkun I. Shakir, Eli Gibson, Tom Doel, Dean C. Barratt, Zach Eaton-Rosen, Carole H. Sudre and Parashkev Nachev. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Journal of Applied Clinical Medical Physics, Contemporary Physics, Journal of Instrumentation and Biomedical Physics & Engineering Express.
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.