Matthew Trumble
Impact in
-
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 3
- Video Surveillance and Tracking Methods 3
- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- Adrian HiltonJohn CollomosseAndrew GilbertCharles MallesonMarco VolinoMark Halling‐BrownSam EllisP M Harris
- Journals
- Radiology Artificial Intelligence (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)International Journal of Computer Vision (1 paper)View (2 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
Matthew Trumble
7 papers receiving 333 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 287
- Human-Computer Interaction 67
- Control and Systems Engineering 86
- Physical Therapy, Sports Therapy and Rehabilitation 15
- Endocrinology, Diabetes and Metabolism 40
Countries citing papers authored by Matthew Trumble
This map shows the geographic impact of Matthew Trumble'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 Matthew Trumble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Trumble more than expected).
Fields of papers citing papers by Matthew Trumble
This network shows the impact of papers produced by Matthew Trumble. 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 Matthew Trumble. The network helps show where Matthew Trumble may publish in the future.
Co-authors
The 15 scholars most cited alongside Matthew Trumble, 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 | 2024 | 4 | |
| 2 | 2020 | 2 | |
| 3 | 2018 | 2 | |
| 4 | 2018 | 62 | |
| 5 | 2017 | 186 | |
| 6 | 2017 | 74 | |
| 7 | 2016 | 14 |
About Matthew Trumble
Matthew Trumble is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Human-Computer Interaction, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 7 papers that have together received 344 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (3 papers), Video Surveillance and Tracking Methods (3 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Digital Radiography and Breast Imaging (1 paper), Infrared Thermography in Medicine (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (287 citations), Human-Computer Interaction (67 citations), Control and Systems Engineering (86 citations), Physical Therapy, Sports Therapy and Rehabilitation (15 citations) and Endocrinology, Diabetes and Metabolism (40 citations). Matthew Trumble has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Adrian Hilton, John Collomosse, Andrew Gilbert, Charles Malleson, Marco Volino, Mark Halling‐Brown, Sam Ellis, P M Harris, Kenneth C. Young and Lucy M. Warren. Their work appears in journals such as Radiology Artificial Intelligence, IEEE Transactions on Visualization and Computer Graphics, International Journal of Computer Vision and View.
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.