Michael Elad
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Media Technology top 0.01%
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications
Papers in
-
- Image and Signal Denoising Methods 125
- Advanced Image Processing Techniques 60
- Advanced Vision and Imaging 24
- Medical Image Segmentation Techniques 17
-
- Sparse and Compressive Sensing Techniques 107
- Co-authors
- Michal Aharon (6 shared papers)Alfred M. Bruckstein⋆ (16 shared papers)David L. Donoho (13 shared papers)Peyman Milanfar (27 shared papers)Ron Rubinstein (9 shared papers)Michael Zibulevsky (18 shared papers)Sina Farsiu (10 shared papers)Arie Feuer (8 shared papers)
- Journals
- IEEE Transactions on Image Processing (26 papers)IEEE Transactions on Signal Processing (20 papers)IEEE Signal Processing Letters (6 papers)IEEE Transactions on Information Theory (6 papers)Journal of Visual Communication and Image Representation (5 papers)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Michael Elad
218 papers receiving 38.5k citations
Michael Elad's Hit Papers
Peers
Comparison fields: 5 of 176
- Computer Vision and Pattern Recognition 24.6k
- Media Technology 10.3k
- Computational Mechanics 15.8k
- Signal Processing 6.5k
- Computational Mathematics 267
Countries citing papers authored by Michael Elad
This map shows the geographic impact of Michael Elad'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 Michael Elad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Elad more than expected).
Fields of papers citing papers by Michael Elad
This network shows the impact of papers produced by Michael Elad. 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 Michael Elad. The network helps show where Michael Elad may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Elad, 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 223 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation Hit paper breakdown → | 2006 | 6717 |
| 2 | Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries Hit paper breakdown → | 2006 | 3760 |
| 3 | Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ 1 minimization Hit paper breakdown → | 2003 | 1884 |
| 4 | Sparse and Redundant Representations Hit paper breakdown → | 2010 | 1577 |
| 5 | Stable recovery of sparse overcomplete representations in the presence of noise Hit paper breakdown → | 2005 | 1510 |
| 6 | From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images Hit paper breakdown → | 2009 | 1502 |
| 7 | Fast and Robust Multiframe Super Resolution Hit paper breakdown → | 2004 | 1460 |
| 8 | Sparse and Redundant Representations : From Theory to Applications in Signal and Image Processing Hit paper breakdown → | 2010 | 1356 |
| 9 | Sparse Representation for Color Image Restoration Hit paper breakdown → | 2007 | 1210 |
| 10 | ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA Hit paper breakdown → | 2013 | 942 |
| 11 | Dictionaries for Sparse Representation Modeling Hit paper breakdown → | 2010 | 901 |
| 12 | Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images Hit paper breakdown → | 1997 | 730 |
| 13 | Image decomposition via the combination of sparse representations and a variational approach Hit paper breakdown → | 2005 | 707 |
| 14 | Optimized Projections for Compressed Sensing Hit paper breakdown → | 2007 | 614 |
| 15 | Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA) Hit paper breakdown → | 2005 | 613 |
| 16 | On the origin of the bilateral filter and ways to improve it Hit paper breakdown → | 2002 | 574 |
| 17 | Efficient Implementation of the K-SVD Algorithm using Batch Orthogonal Matching Pursuit Hit paper breakdown → | 2008 | 538 |
| 18 | A Variational Framework for Retinex Hit paper breakdown → | 2003 | 535 |
| 19 | Generalizing the Nonlocal-Means to Super-Resolution Reconstruction Hit paper breakdown → | 2008 | 509 |
| 20 | The Little Engine That Could: Regularization by Denoising (RED) Hit paper breakdown → | 2017 | 488 |
About Michael Elad
Michael Elad is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing, Media Technology and Biomedical Engineering, having authored 223 papers that have together received 40.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (125 papers), Sparse and Compressive Sensing Techniques (107 papers), Advanced Image Processing Techniques (60 papers), Blind Source Separation Techniques (40 papers), Advanced Vision and Imaging (24 papers), Advanced Image Fusion Techniques (23 papers), Image Processing Techniques and Applications (22 papers) and Medical Image Segmentation Techniques (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (24.6k citations), Media Technology (10.3k citations), Computational Mechanics (15.8k citations), Signal Processing (6.5k citations) and Computational Mathematics (267 citations). Michael Elad has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Michal Aharon, Alfred M. Bruckstein⋆, David L. Donoho, Peyman Milanfar, Ron Rubinstein, Michael Zibulevsky, Sina Farsiu, Arie Feuer, Julien Mairal and Guillermo Sapiro. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Information Theory and Journal of Visual Communication and Image Representation.
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.