C. Beeston
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Image and Object Detection Techniques
- Advanced Neural Network Applications
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
Papers in
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- Face recognition and analysis 2
- Medical Image Segmentation Techniques 2
- Image Retrieval and Classification Techniques 1
- Advanced Vision and Imaging 1
- Surgery 1
- Infectious Diseases and Tuberculosis 1
- Co-authors
- R. J. Barlow (1 shared paper)Chris Taylor (3 shared papers)G. Edwards (2 shared papers)T.F. Cootes (2 shared papers)Alan Hufton (1 shared paper)Julia Smith (1 shared paper)Susan Astley (1 shared paper)Andrew Ustianowski (1 shared paper)
- Journals
- Journal of Medical Microbiology (1 paper)Computer Physics Communications (1 paper)Lecture notes in computer science (3 papers)Research Explorer (The University of Manchester) (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
C. Beeston
6 papers receiving 177 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 98
- Nuclear and High Energy Physics 51
- Radiology, Nuclear Medicine and Imaging 27
- Radiation 9
- Biophysics 6
Countries citing papers authored by C. Beeston
This map shows the geographic impact of C. Beeston'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 C. Beeston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Beeston more than expected).
Fields of papers citing papers by C. Beeston
This network shows the impact of papers produced by C. Beeston. 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 C. Beeston. The network helps show where C. Beeston may publish in the future.
Co-authors
The 10 scholars most cited alongside C. Beeston, 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 | 1999 | 106 | |
| 2 | 1993 | 64 | |
| 3 | 2008 | 12 | |
| 4 | 2000 | 2 | |
| 5 | 2010 | 2 | |
| 6 | Atlas matching using active appearance models | 1999 | 1 |
About C. Beeston
C. Beeston is a scholar working on Computer Vision and Pattern Recognition, Surgery, Small Animals, Pulmonary and Respiratory Medicine and Geometry and Topology, having authored 6 papers that have together received 187 indexed citations. Recurring topics across this work include Face recognition and analysis (2 papers), Medical Image Segmentation Techniques (2 papers), Image Retrieval and Classification Techniques (1 paper), Morphological variations and asymmetry (1 paper), Advanced Vision and Imaging (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Mycobacterium research and diagnosis (1 paper) and Infectious Diseases and Tuberculosis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (98 citations), Nuclear and High Energy Physics (51 citations), Radiology, Nuclear Medicine and Imaging (27 citations), Radiation (9 citations) and Biophysics (6 citations). C. Beeston has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include R. J. Barlow, Chris Taylor, G. Edwards, T.F. Cootes, Alan Hufton, Julia Smith, Susan Astley, Andrew Ustianowski, D.J. Hawkes and Ronald P. Gaston. Their work appears in journals such as Journal of Medical Microbiology, Computer Physics Communications, Lecture notes in computer science and Research Explorer (The University of Manchester).
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.