Boris Mailhé
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Signal Processing top 5%
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
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- Blind Source Separation Techniques 11
- Speech and Audio Processing 4
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- Image and Signal Denoising Methods 12
- Co-authors
- Pierre Vandergheynst (10 shared papers)Rémi Gribonval (10 shared papers)Hervé Delingette (2 shared papers)Julian Krebs (2 shared papers)Tommaso Mansi (2 shared papers)Nicholas Ayache (1 shared paper)Frédéric Bimbot (5 shared papers)Mark D. Plumbley (4 shared papers)
- Journals
- Magnetic Resonance Imaging (2 papers)Magnetic Resonance in Medicine (2 papers)IEEE Transactions on Information Theory (1 paper)Signal Processing (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Boris Mailhé
28 papers receiving 529 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 241
- Signal Processing 116
- Radiology, Nuclear Medicine and Imaging 174
- Computational Mechanics 158
- Acoustics and Ultrasonics 4
Countries citing papers authored by Boris Mailhé
This map shows the geographic impact of Boris Mailhé'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 Boris Mailhé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Mailhé more than expected).
Fields of papers citing papers by Boris Mailhé
This network shows the impact of papers produced by Boris Mailhé. 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 Boris Mailhé. The network helps show where Boris Mailhé may publish in the future.
Co-authors
The 25 scholars most cited alongside Boris Mailhé, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 161 | |
| 2 | 2008 | 62 | |
| 3 | 2012 | 43 | |
| 4 | 2017 | 41 | |
| 5 | 2009 | 40 | |
| 6 | 2007 | 37 | |
| 7 | 2011 | 23 | |
| 8 | 2021 | 21 | |
| 9 | 2009 | 18 | |
| 10 | 2016 | 16 | |
| 11 | 2007 | 15 | |
| 12 | 2012 | 14 | |
| 13 | 2022 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2017 | 6 | |
| 16 | 2006 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2007 | 2 | |
| 20 | 2013 | 2 |
About Boris Mailhé
Boris Mailhé is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 30 papers that have together received 540 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (12 papers), Blind Source Separation Techniques (11 papers), Advanced MRI Techniques and Applications (7 papers), Medical Imaging Techniques and Applications (4 papers), Speech and Audio Processing (4 papers), Atomic and Subatomic Physics Research (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Signal Processing (116 citations), Radiology, Nuclear Medicine and Imaging (174 citations), Computational Mechanics (158 citations) and Acoustics and Ultrasonics (4 citations). Boris Mailhé has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Pierre Vandergheynst, Rémi Gribonval, Hervé Delingette, Julian Krebs, Tommaso Mansi, Nicholas Ayache, Frédéric Bimbot, Mark D. Plumbley, Sylvain Lesage and Daniele Barchiesi. Their work appears in journals such as Magnetic Resonance Imaging, Magnetic Resonance in Medicine, IEEE Transactions on Information Theory, Signal Processing and IEEE Transactions on Image Processing.
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.