D. Bloyet
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- Medical Image Segmentation Techniques 24
- Neurology top 10%
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism 24
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- Medical Imaging Techniques and Applications 10
- Advanced MRI Techniques and Applications 6
- Media Technology top 5%
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- AI in cancer detection 8
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- Superconducting and THz Device Technology 7
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- Cell Image Analysis Techniques 7
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- Magnetic properties of thin films 6
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 35 | |
| 2 | 2005 | 3 | |
| 3 | 2003 | 2 | |
| 4 | 2002 | 45 | |
| 5 | 2002 | 1 | |
| 6 | 2002 | 1 | |
| 7 | Mathematical morphologic segmentation dedicated to quantitative immunohistochemistry. | 2001 | 8 |
| 8 | 2001 | 60 | |
| 9 | 2000 | 109 | |
| 10 | 2000 | 91 | |
| 11 | 1999 | 1 | |
| 12 | 1999 | 3 | |
| 13 | 1999 | 1 | |
| 14 | 1997 | 16 | |
| 15 | 1996 | 4 | |
| 16 | 1992 | 5 | |
| 17 | 1992 | 0 | |
| 18 | 1989 | 1 | |
| 19 | 1985 | 9 | |
| 20 | 1971 | 2 |
About D. Bloyet
D. Bloyet is a scholar working on Condensed Matter Physics, Computer Vision and Pattern Recognition, Biophysics, Radiology, Nuclear Medicine and Imaging and Structural Biology, having authored 92 papers that have together received 992 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (24 papers), Physics of Superconductivity and Magnetism (24 papers), Medical Imaging Techniques and Applications (10 papers), AI in cancer detection (8 papers), Superconducting and THz Device Technology (7 papers), Cell Image Analysis Techniques (7 papers), Magnetic properties of thin films (6 papers) and Advanced MRI Techniques and Applications (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, Weibei Dou, Jean‐Marc Constans, Yanping Chen, Jing‐Hao Xue, M.J. Fadili, Laurence Méchin and E. Varoquaux. Their work appears in journals such as Review of Scientific Instruments, IEEE Transactions on Magnetics, Journal of Applied Physics, 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.