Michaël Unser
- Computer Vision and Pattern Recognition top 0.01%
- Image and Signal Denoising Methods 301
- Medical Image Segmentation Techniques 114
- Structural Biology top 0.1%
- Biophysics top 0.01%
- Media Technology top 0.02%
- Signal Processing top 0.05%
- Digital Filter Design and Implementation 76
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- Sparse and Compressive Sensing Techniques 117
- Advanced Numerical Analysis Techniques 100
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- Mathematical Analysis and Transform Methods 84
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- Photoacoustic and Ultrasonic Imaging 65
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- Medical Imaging Techniques and Applications 62
- Co-authors
- P. ThévenazAkram AldroubiThierry BluM. EdenDaniel SageUrs E. RuttimannDimitri Van De VilleMathews Jacob
- Journals
- IEEE Transactions on Image Processing (75 papers)IEEE Transactions on Signal Processing (50 papers)IEEE Signal Processing Letters (18 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Michaël Unser
662 papers receiving 33.4k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Computer Vision and Pattern Recognition 15.7k
- Structural Biology 974
- Biophysics 3.3k
- Media Technology 4.5k
- Signal Processing 3.3k
Countries citing papers authored by Michaël Unser
This map shows the geographic impact of Michaël Unser'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 Michaël Unser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Unser more than expected).
Fields of papers citing papers by Michaël Unser
This network shows the impact of papers produced by Michaël Unser. 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 Michaël Unser. The network helps show where Michaël Unser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michaël Unser, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 45 | |
| 10 | 2019 | 43 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 11 | |
| 13 | An L1 Representer Theorem for Multiple-Kernel Regression. | 2018 | 1 |
| 14 | 2017 | 13 | |
| 15 | Deep Convolutional Neural Network for Inverse Problems in Imagingbreakdown → | 2017 | 1561 |
| 16 | 2017 | 10 | |
| 17 | 2015 | 254 | |
| 18 | MMSE denoising of sparse Levy processes via message passing | 2012 | 1 |
| 19 | The Marr wavelet pyramid and multiscale directional image analysis | 2008 | 7 |
| 20 | A NOVEL APPROACH TO NEURITE TRACING IN FLUORESCENCE MICROSCOPY IMAGES | 2003 | 8 |
About Michaël Unser
Michaël Unser is a scholar working on Computer Vision and Pattern Recognition, Structural Biology and Biophysics, having authored 690 papers that have together received 35.2k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (301 papers), Sparse and Compressive Sensing Techniques (117 papers), Medical Image Segmentation Techniques (114 papers), Advanced Numerical Analysis Techniques (100 papers), Mathematical Analysis and Transform Methods (84 papers), Digital Filter Design and Implementation (76 papers), Photoacoustic and Ultrasonic Imaging (65 papers) and Medical Imaging Techniques and Applications (62 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (15.7k citations), Structural Biology (974 citations) and Biophysics (3.3k citations). Michaël Unser has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include P. Thévenaz, Akram Aldroubi, Thierry Blu, M. Eden, Daniel Sage, Urs E. Ruttimann, Thierry Blu, Dimitri Van De Ville, Mathews Jacob and Michael T. McCann. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Medical Imaging and Signal 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.