Michael Elad

63.9k citations
223 papers · 40.1k indexed · 27 hit papers · h-index 70

Michael Elad

218 papers receiving 38.1k citations

Hit Papers

The Little Engine That Co...476199720262006201650010001.5k

Peers

Michael Elad
Comparison fields: 5 of 178
  • Computer Vision and Pattern Recognition 24.5k
  • Media Technology 10.3k
  • Computational Mechanics 15.9k
  • Signal Processing 6.5k
  • Computational Mathematics 268
Replace Stéphane Mallat with:
Stéphane Mallat France
Eero P. Simoncelli United States
Hamid R. Sheikh United States
Guillermo Sapiro United States
Zhou Wang China
Wangmeng Zuo China
Richard G. Baraniuk United States
Alan C. Bovik United States
Michaël Unser Switzerland
David L. Donoho United States
Michael Elad relative to Stéphane Mallat France Stéphane Mallat's profile →
Citations per field
00.5×4.1×
Stéphane Mallat · 1×
Citations per year

Countries citing papers authored by Michael Elad

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Michael Elad Line = papers co-authored together Michael Elad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20194
3 20144
4
A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolutionbreakdown →
2014301
5 20132
6
Sequential minimal eigenvalues - an approach to analysis dictionary learning
201137
7
Near-Oracle Performance of Basis Pursuit under Random Noise
20098
8 200822
9
Generalizing the Nonlocal-Means to Super-Resolution Reconstructionbreakdown →
2008507
10
Multiscale Sparse Image Representation with Learned Dictionaries (PREPRINT)
20071
11 200731
12
Learning Multiscale Sparse Representations for Image and Video Restoration (PREPRINT)
20072
13
SUPER-RESOLUTION RESTORATION OF CONTINUOUS IMAGE SEQUENCE - ADAPTIVE FILTERING APPROACH
200718
14 200582
15 200525
16 2005113
17 2003121
18
On the origin of the bilateral filter and ways to improve itbreakdown →
2002573
19 2001334
20 1999167

About Michael Elad

Michael Elad is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology, having authored 223 papers that have together received 40.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (125 papers), Sparse and Compressive Sensing Techniques (108 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 (24.5k citations), Media Technology (10.3k citations) and Computational Mechanics (15.9k 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, Guillermo Sapiro and Julien Mairal. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, IEEE Signal Processing Letters 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.

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