Michaël Unser
Impact in
- Computer Vision and Pattern Recognition top 0.02%
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Structural Biology top 0.1%
Papers in
-
- Image and Signal Denoising Methods 307
- Medical Image Segmentation Techniques 119
-
- Sparse and Compressive Sensing Techniques 117
- Advanced Numerical Analysis Techniques 104
- Co-authors
- P. Thévenaz (60 shared papers)Akram Aldroubi (41 shared papers)Thierry Blu (69 shared papers)M. Eden (18 shared papers)Daniel Sage (44 shared papers)Urs E. Ruttimann (7 shared papers)Thierry Blu (29 shared papers)Mathews Jacob (16 shared papers)
- Journals
- IEEE Transactions on Image Processing (75 papers)IEEE Transactions on Signal Processing (49 papers)IEEE Transactions on Medical Imaging (19 papers)IEEE Signal Processing Letters (18 papers)Signal Processing (17 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Michaël Unser
684 papers receiving 36.2k citations
Michaël Unser's Hit Papers
Peers
Comparison fields: 5 of 213
- Computer Vision and Pattern Recognition 17.4k
- Structural Biology 1.0k
- Biophysics 3.4k
- Media Technology 4.9k
- Signal Processing 3.5k
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-authors
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
Showing the 20 most-cited of 715 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A pyramid approach to subpixel registration based on intensity Hit paper breakdown → | 1998 | 2343 |
| 2 | Deep Convolutional Neural Network for Inverse Problems in Imaging Hit paper breakdown → | 2017 | 1690 |
| 3 | Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy images Hit paper breakdown → | 2004 | 1269 |
| 4 | Splines: a perfect fit for signal and image processing Hit paper breakdown → | 1999 | 1222 |
| 5 | Texture classification and segmentation using wavelet frames Hit paper breakdown → | 1995 | 1085 |
| 6 | Sampling-50 years after Shannon Hit paper breakdown → | 2000 | 981 |
| 7 | Experimental investigation of collagen waviness and orientation in the arterial adventitia using confocal laser scanning microscopy Hit paper breakdown → | 2011 | 852 |
| 8 | B-spline signal processing. I. Theory Hit paper breakdown → | 1993 | 772 |
| 9 | Interpolation revisited [medical images application] Hit paper breakdown → | 2000 | 656 |
| 10 | Low-bond axisymmetric drop shape analysis for surface tension and contact angle measurements of sessile drops Hit paper breakdown → | 2010 | 611 |
| 11 | A review of wavelets in biomedical applications Hit paper breakdown → | 1996 | 583 |
| 12 | Optimization of mutual information for multiresolution image registration Hit paper breakdown → | 2000 | 575 |
| 13 | B-spline signal processing. II. Efficiency design and applications Hit paper breakdown → | 1993 | 535 |
| 14 | B-SPLINE SIGNAL PROCESSING: PART I-THEORY | 1993 | 496 |
| 15 | A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding Hit paper breakdown → | 2007 | 488 |
| 16 | 1986 | 430 | |
| 17 | 1991 | 415 | |
| 18 | DeconvolutionLab2: An open-source software for deconvolution microscopy Hit paper breakdown → | 2017 | 407 |
| 19 | Transforms and Operators for Directional Bioimage Analysis: A Survey Hit paper breakdown → | 2016 | 375 |
| 20 | 2005 | 366 |
About Michaël Unser
Michaël Unser is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Applied Mathematics, having authored 715 papers that have together received 38.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (307 papers), Medical Image Segmentation Techniques (119 papers), Sparse and Compressive Sensing Techniques (117 papers), Advanced Numerical Analysis Techniques (104 papers), Mathematical Analysis and Transform Methods (86 papers), Digital Filter Design and Implementation (76 papers), Medical Imaging Techniques and Applications (65 papers) and Photoacoustic and Ultrasonic Imaging (64 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (17.4k citations), Structural Biology (1.0k citations), Biophysics (3.4k citations), Media Technology (4.9k citations) and Signal Processing (3.5k 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, Mathews Jacob, Dimitri Van De Ville and Michael T. McCann. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Medical Imaging, IEEE Signal Processing Letters 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.