D. Bloyet

1.5k total citations
92 papers, 992 citations indexed

About

D. Bloyet is a scholar working on Condensed Matter Physics, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, D. Bloyet has authored 92 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Condensed Matter Physics, 25 papers in Computer Vision and Pattern Recognition and 20 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in D. Bloyet's work include Medical Image Segmentation Techniques (24 papers), Physics of Superconductivity and Magnetism (24 papers) and Medical Imaging Techniques and Applications (10 papers). D. Bloyet is often cited by papers focused on Medical Image Segmentation Techniques (24 papers), Physics of Superconductivity and Magnetism (24 papers) and Medical Imaging Techniques and Applications (10 papers). D. Bloyet collaborates with scholars based in France, China and United Kingdom. D. Bloyet's 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 and has published in prestigious journals such as Nature, Physical Review Letters and Applied Physics Letters.

In The Last Decade

D. Bloyet

85 papers receiving 929 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Bloyet France 15 356 196 152 141 123 92 992
Ping Sun China 18 220 0.6× 46 0.2× 201 1.3× 294 2.1× 57 0.5× 44 1.1k
Frederick Warner United States 11 289 0.8× 111 0.6× 236 1.6× 41 0.3× 152 1.2× 19 1.4k
Teresa Mendonça Portugal 23 281 0.8× 118 0.6× 904 5.9× 282 2.0× 25 0.2× 135 2.7k
P. Oliva Italy 23 134 0.4× 571 2.9× 189 1.2× 42 0.3× 114 0.9× 97 1.4k
Harald Köstler Germany 19 156 0.4× 104 0.5× 84 0.6× 24 0.2× 74 0.6× 86 1.2k
Munendra Singh India 16 199 0.6× 145 0.7× 113 0.7× 19 0.1× 20 0.2× 79 781
Marie Piraud Germany 17 126 0.4× 195 1.0× 140 0.9× 196 1.4× 18 0.1× 32 1.3k
Qijun Huang China 22 140 0.4× 65 0.3× 151 1.0× 13 0.1× 336 2.7× 137 1.6k
Paweł Dłotko Poland 15 88 0.2× 96 0.5× 61 0.4× 18 0.1× 131 1.1× 53 967
Jin He China 22 112 0.3× 65 0.3× 123 0.8× 12 0.1× 352 2.9× 110 1.6k

Countries citing papers authored by D. Bloyet

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of D. Bloyet

This figure shows the co-authorship network connecting the top 25 collaborators of D. Bloyet. A scholar is included among the top collaborators of D. Bloyet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Bloyet. D. Bloyet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dou, Weibei, Yuan Ren, Su Ruan, et al.. (2006). Fuzzy kappa for the agreement measure of fuzzy classifications. Neurocomputing. 70(4-6). 726–734. 35 indexed citations
2.
Cordier, Christophe, et al.. (2005). Hall sensor response to an inhomogeneous magnetic field. IEEE Sensors Journal. 5(5). 934–941. 3 indexed citations
3.
Sing, Marc Lam Chok, et al.. (2003). Original superconducting quantum interference device (SQUID) design and measurement technique for flux noise source localization in SQUID systems. Review of Scientific Instruments. 74(12). 5118–5122. 2 indexed citations
4.
Ruan, Su, et al.. (2002). Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images. Computer Vision and Image Understanding. 85(1). 54–69. 45 indexed citations
5.
Travère, Jean-Marcel, et al.. (2002). Anisotropic diffusion filtering applied to individual PET activation images: a simulation study. 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record. 3. 1465–1469. 1 indexed citations
6.
Ruan, Su, et al.. (2002). Mixture modeling applied to the partial volume effect in MRI data. 2. 693–695. 1 indexed citations
7.
Elmoataz, Abderrahim, et al.. (2001). Mathematical morphologic segmentation dedicated to quantitative immunohistochemistry.. PubMed. 23(4). 257–67. 8 indexed citations
8.
Fadili, M.J., Su Ruan, D. Bloyet, & Bernard Mazoyer. (2001). On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series. Medical Image Analysis. 5(1). 55–67. 60 indexed citations
9.
Ruan, Su, et al.. (2000). Brain tissue classification of magnetic resonance images using partial volume modeling. IEEE Transactions on Medical Imaging. 19(12). 1179–1187. 109 indexed citations
10.
Fadili, M.J., Su Ruan, D. Bloyet, & Bernard Mazoyer. (2000). A multistep Unsupervised Fuzzy Clustering Analysis of fMRI time series. Human Brain Mapping. 10(4). 160–178. 91 indexed citations
11.
Boudry, Christophe, Paulette Herlin, Benoît Plancoulaine, et al.. (1999). Automatic Morphological Sieving: Comparison between Different Methods, Application to DNA Ploidy Measurements. Analytical Cellular Pathology. 18(4). 203–210. 1 indexed citations
12.
Routoure, Jean‐Marc, et al.. (1999). Low frequency excess noise measurements in high frequency polysilicon emitter bipolar transistors. Solid-State Electronics. 43(4). 729–740. 3 indexed citations
13.
Bloyet, D., et al.. (1999). Image analysis software for automatic DNA ploidy assessment of archival solid tumours. Cytometry. 37(4). 267–274. 1 indexed citations
14.
Elmoataz, Abderrahim, et al.. (1997). Generalized region growing operator with optimal scanning: application to segmentation of breast cancer images. Journal of Microscopy. 186(1). 41–50. 16 indexed citations
15.
Ruan, Su, et al.. (1996). Detection of Brain Activation Signal from Functional Magnetic Resonance Imaging Data. Journal of Neuroimaging. 6(4). 207–212. 4 indexed citations
16.
Masson, Eric, et al.. (1992). Development of an automatic program for the stereological estimation of the volume weighted mean volume of cell nuclei. Pathology - Research and Practice. 188(4-5). 438–442. 5 indexed citations
17.
Allain, Pascal, Jean-Marcel Travère, Claude Baron, D. Bloyet, & Michel Desvignes. (1992). Entirely automatic 3D MR brain analysis as a step in multimodal processing. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 177. 947–949.
18.
Herlin, Paulette, et al.. (1989). Silver Impregnation of Membranes on Undeplasticized Semi-Thin Sections for Morphometry. Pathology - Research and Practice. 185(5). 558–560. 1 indexed citations
19.
Bloyet, D., et al.. (1985). Very-low-noise amplifier for low-temperature pulsed NMR experiments. Review of Scientific Instruments. 56(9). 1763–1771. 9 indexed citations
20.
Bloyet, D., et al.. (1971). Générateur d'impulsions pour expérience de R. M. N. à impulsions multiples. Revue de Physique Appliquée. 6(4). 475–480. 2 indexed citations

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.

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