C.M. Bishop
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Handwritten Text Recognition Techniques
- 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
-
- Magnetic confinement fusion research 3
- Co-authors
- Nicholas Lange (1 shared paper)Brian David Ripley (1 shared paper)Thomas P. Minka (1 shared paper)Julia Lasserre (1 shared paper)Michael E. Tipping (1 shared paper)İlkay Ulusoy (1 shared paper)Geoffrey E. Hinton (1 shared paper)Markus Svensén (1 shared paper)
- Journals
- Nuclear Fusion (2 papers)Allergy (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)Journal of the American Statistical Association (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
C.M. Bishop
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 412
- Artificial Intelligence 463
- Signal Processing 150
- Nuclear and High Energy Physics 115
- Immunology and Allergy 34
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 | 403 | |
| 2 | 2006 | 222 | |
| 3 | 1998 | 147 | |
| 4 | 2013 | 138 | |
| 5 | 2005 | 105 | |
| 6 | 1986 | 82 | |
| 7 | 2004 | 55 | |
| 8 | 1997 | 44 | |
| 9 | 1992 | 23 | |
| 10 | 1992 | 20 | |
| 11 | 2004 | 15 | |
| 12 | 1987 | 12 | |
| 13 | 2024 | 9 | |
| 14 | 2005 | 1 |
About C.M. Bishop
C.M. Bishop is a scholar working on Computer Vision and Pattern Recognition, Nuclear and High Energy Physics, Artificial Intelligence, Astronomy and Astrophysics and Human-Computer Interaction, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (3 papers), Magnetic confinement fusion research (3 papers), Neural Networks and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Ionosphere and magnetosphere dynamics (2 papers), Machine Learning and ELM (1 paper), Advanced Data Storage Technologies (1 paper) and Target Tracking and Data Fusion in Sensor Networks (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (412 citations), Artificial Intelligence (463 citations), Signal Processing (150 citations), Nuclear and High Energy Physics (115 citations) and Immunology and Allergy (34 citations). C.M. Bishop has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Nicholas Lange, Brian David Ripley, Thomas P. Minka, Julia Lasserre, Michael E. Tipping, İlkay Ulusoy, Geoffrey E. Hinton, Markus Svensén, John Michael Winn and Syed Hasan Arshad. Their work appears in journals such as Nuclear Fusion, Allergy, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Journal of the American Statistical Association and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.