D. Bloyet
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Physics of Superconductivity and Magnetism 24
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- Medical Image Segmentation Techniques 24
- Co-authors
- Su Ruan (22 shared papers)Bernard Mazoyer (8 shared papers)Jalal Fadili (5 shared papers)Jean‐Marc Constans (5 shared papers)Weibei Dou (6 shared papers)Yanping Chen (2 shared papers)Jing‐Hao Xue (2 shared papers)M.J. Fadili (4 shared papers)
- Journals
- Review of Scientific Instruments (7 papers)Journal of Applied Physics (3 papers)IEEE Transactions on Magnetics (3 papers)IEEE Transactions on Instrumentation and Measurement (3 papers)Applied Physics Letters (3 papers)
- Partner nations
- FranceChinaUnited Kingdom
In The Last Decade
D. Bloyet
85 papers receiving 929 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 356
- Neurology 115
- Condensed Matter Physics 141
- Radiology, Nuclear Medicine and Imaging 196
- Media Technology 63
Countries citing papers authored by D. Bloyet
This map shows the geographic impact of D. Bloyet'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 D. Bloyet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Bloyet more than expected).
Fields of papers citing papers by D. Bloyet
This network shows the impact of papers produced by D. Bloyet. 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 D. Bloyet. The network helps show where D. Bloyet may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Bloyet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 128 | |
| 2 | 2000 | 109 | |
| 3 | 2000 | 91 | |
| 4 | 2001 | 60 | |
| 5 | 2002 | 45 | |
| 6 | 1997 | 39 | |
| 7 | 2006 | 35 | |
| 8 | 1997 | 30 | |
| 9 | 1978 | 23 | |
| 10 | 1979 | 21 | |
| 11 | 2001 | 18 | |
| 12 | 1997 | 16 | |
| 13 | 2000 | 15 | |
| 14 | 1998 | 15 | |
| 15 | 2002 | 15 | |
| 16 | 1997 | 14 | |
| 17 | 1988 | 13 | |
| 18 | 2001 | 12 | |
| 19 | 1989 | 12 | |
| 20 | 1994 | 11 |
About D. Bloyet
D. Bloyet is a scholar working on Condensed Matter Physics, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 92 papers that have together received 992 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (24 papers), Medical Image Segmentation Techniques (24 papers), Medical Imaging Techniques and Applications (10 papers), AI in cancer detection (8 papers), Cell Image Analysis Techniques (7 papers), Superconducting and THz Device Technology (7 papers), Advanced MRI Techniques and Applications (6 papers) and Magnetic properties of thin films (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (356 citations), Neurology (115 citations), Condensed Matter Physics (141 citations), Radiology, Nuclear Medicine and Imaging (196 citations) and Media Technology (63 citations). D. Bloyet has collaborated with scholars based in France, China and United Kingdom. Frequent co-authors include Su Ruan, Bernard Mazoyer, Jalal Fadili, Jean‐Marc Constans, Weibei Dou, Yanping Chen, Jing‐Hao Xue, M.J. Fadili, Laurence Méchin and E. Varoquaux. Their work appears in journals such as Review of Scientific Instruments, Journal of Applied Physics, IEEE Transactions on Magnetics, IEEE Transactions on Instrumentation and Measurement and Applied Physics Letters.
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.