Rhodri Davies
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Computational Mechanics top 5%
- Geometry and Topology top 2%
- Co-authors
- Chris TaylorCarole TwiningT.F. CootesJohn C. WatertonJames MoonLutz‐Peter NolteKumar RajamaniMartin Styner
- Topics
- Cardiac Imaging and Diagnostics (15 papers)Medical Image Segmentation Techniques (13 papers)Advanced MRI Techniques and Applications (12 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Rhodri Davies
58 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 706
- Radiology, Nuclear Medicine and Imaging 428
- Biomedical Engineering 341
- Computational Mechanics 321
- Geometry and Topology 258
Countries citing papers authored by Rhodri Davies
This map shows the geographic impact of Rhodri Davies'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 Rhodri Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rhodri Davies more than expected).
Fields of papers citing papers by Rhodri Davies
This network shows the impact of papers produced by Rhodri Davies. 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 Rhodri Davies. The network helps show where Rhodri Davies may publish in the future.
Co-authorship network of co-authors of Rhodri Davies
This figure shows the co-authorship network connecting the top 25 collaborators of Rhodri Davies. A scholar is included among the top collaborators of Rhodri Davies based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rhodri Davies. Rhodri Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 27 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 18 | |
| 11 | 25 | |
| 12 | 40 | |
| 13 | 32 | |
| 14 | 30 | |
| 15 | 73 | |
| 16 | 70 | |
| 17 | 4 | |
| 18 | 211 | |
| 19 | An information theoretic approach to shape modelling | 3 |
| 20 | 4 |
About Rhodri Davies
Rhodri Davies is a scholar working on Health Informatics, Medical Laboratory Technology and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (15 papers), Medical Image Segmentation Techniques (13 papers) and Advanced MRI Techniques and Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (706 citations), Geometry and Topology (258 citations) and Health Informatics (34 citations). Rhodri Davies has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Chris Taylor, Carole Twining, T.F. Cootes, John C. Waterton, James Moon, Lutz‐Peter Nolte, Kumar Rajamani, Martin Styner, Gábor Székely and Peter Kellman. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.