C.M. Bishop
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 5%
- Neural Networks and Applications
Papers in
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- Image Retrieval and Classification Techniques 3
- Advanced Image and Video Retrieval Techniques 2
-
- Advanced Clustering Algorithms Research 1
- Co-authors
- Nicholas Lange (1 shared paper)B. D. Ripley (1 shared paper)Michael E. Tipping (1 shared paper)Julia Lasserre (1 shared paper)Thomas P. Minka (1 shared paper)İlkay Ulusoy (1 shared paper)Markus Svensén (1 shared paper)Geoffrey E. Hinton (1 shared paper)
- Journals
- Nuclear Fusion (2 papers)Allergy (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)Plasma Physics and Controlled Fusion (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
C.M. Bishop
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 359
- Artificial Intelligence 380
- Signal Processing 114
- Nuclear and High Energy Physics 113
- Immunology and Allergy 28
Countries citing papers authored by C.M. Bishop
This map shows the geographic impact of C.M. Bishop'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.M. Bishop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.M. Bishop more than expected).
Fields of papers citing papers by C.M. Bishop
This network shows the impact of papers produced by C.M. Bishop. 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.M. Bishop. The network helps show where C.M. Bishop may publish in the future.
Co-authors
The 20 scholars most cited alongside C.M. Bishop, 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 | 1997 | 363 | |
| 2 | 2006 | 193 | |
| 3 | 1998 | 129 | |
| 4 | 2013 | 126 | |
| 5 | 2005 | 97 | |
| 6 | 1986 | 81 | |
| 7 | 2004 | 46 | |
| 8 | 1997 | 34 | |
| 9 | 1992 | 19 | |
| 10 | 2004 | 13 | |
| 11 | 1987 | 12 | |
| 12 | 2024 | 9 | |
| 13 | 2005 | 1 |
About C.M. Bishop
C.M. Bishop is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Nuclear and High Energy Physics, Astronomy and Astrophysics and Aerospace Engineering, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (3 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Ionosphere and magnetosphere dynamics (2 papers), Robotics and Sensor-Based Localization (1 paper), Interactive and Immersive Displays (1 paper), Advanced Clustering Algorithms Research (1 paper) and Plasma Diagnostics and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (359 citations), Artificial Intelligence (380 citations), Signal Processing (114 citations), Nuclear and High Energy Physics (113 citations) and Immunology and Allergy (28 citations). C.M. Bishop has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Nicholas Lange, B. D. Ripley, Michael E. Tipping, Julia Lasserre, Thomas P. Minka, İlkay Ulusoy, Markus Svensén, Geoffrey E. Hinton, John A. Curtin and Graham Roberts. Their work appears in journals such as Nuclear Fusion, Allergy, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Plasma Physics and Controlled Fusion and Journal of the American Statistical Association.
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.