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Computer Science
Israel
2026

D-Index & Metrics

Computer Science

D-Index
102
Citations
85751
World Ranking
327
National Ranking
7

Michael Elad publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael Elad sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 343 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Michael Elad D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Elad sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 102 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in Israel Leader Award
  • 2025 - Research.com Computer Science in Israel Leader Award
  • 2023 - Research.com Computer Science in Israel Leader Award
  • 2022 - Research.com Computer Science in Israel Leader Award
  • 2018 - SIAM Fellow For contributions to the theory and development of sparse representations and their applications to signal and image processing.
  • 2012 - IEEE Fellow For contributions to sparsity and redundancy +in image processing

Overview

Michael Elad is affiliated with the Technion - Israel Institute of Technology in Israel. Their research focuses primarily on computer science and engineering, with specialized work in areas such as computer vision and pattern recognition, artificial intelligence, and computational mechanics.

The major topics of their research include:

  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques
  • Sparse and Compressive Sensing Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Cell Image Analysis Techniques
  • Advanced Image and Video Retrieval Techniques
  • Photoacoustic and Ultrasonic Imaging

Michael Elad has published extensively in various venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • SIAM Journal on Imaging Sciences
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Gastrointestinal Endoscopy

Some recent papers authored or co-authored by Michael Elad are:

  • "Denoising Diffusion Restoration Models," 2022, arXiv (Cornell University)
  • "Image Denoising: The Deep Learning Revolution and Beyond-A Survey Paper," 2023, SIAM Journal on Imaging Sciences
  • "Patch Craft: Video Denoising by Deep Modeling and Patch Matching," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Better Compression With Deep Pre-Editing," 2021, IEEE Transactions on Image Processing
  • "Technical Design Report for the LUXE experiment," 2024, The European Physical Journal Special Topics

Frequent co-authors include:

  • Ehud Rivlin
  • Tomer Michaeli
  • Bahjat Kawar
  • Roy Ganz
  • Chris Manzie

Michael Elad has contributed to book publications through the publisher Springer Science+Business Media, with titles such as "Image and Graphics" published in 2021.

Recognition for their work includes being named a SIAM Fellow in 2018 for contributions to the theory and development of sparse representations and their applications to signal and image processing. Additionally, they were awarded IEEE Fellow status in 2012 for contributions to sparsity and redundancy in image processing.

Best Publications

  • $rm K$ -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

    M. Aharon;M. Elad;A. Bruckstein

  • Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries

    M. Elad;M. Aharon

  • Optimally sparse representation in general (nonorthogonal) dictionaries via 1 minimization

    David L. Donoho;Michael Elad

  • Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing

    Michael Elad

  • On single image scale-up using sparse-representations

    Roman Zeyde;Michael Elad;Matan Protter

  • Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing

    Unknown

  • Fast and robust multiframe super resolution

    S. Farsiu;M.D. Robinson;M. Elad;P. Milanfar

  • Stable recovery of sparse overcomplete representations in the presence of noise

    D.L. Donoho;M. Elad;V.N. Temlyakov

  • From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

    Alfred M. Bruckstein;David L. Donoho;Michael Elad

  • Sparse Representation for Color Image Restoration

    J. Mairal;M. Elad;G. Sapiro

  • Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images

    M. Elad;A. Feuer

  • Dictionaries for Sparse Representation Modeling

    Ron Rubinstein;Alfred M Bruckstein;Michael Elad

  • ESPIRiT--an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA.

    Martin Uecker;Peng Lai;Mark J. Murphy;Patrick Virtue

  • Image decomposition via the combination of sparse representations and a variational approach

    J.-L. Starck;M. Elad;D.L. Donoho

  • A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur

    M. Elad;Y. Hel-Or

  • Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)

    M. Elad;J.-L. Starck;P. Querre;D.L. Donoho

  • On the origin of the bilateral filter and ways to improve it

    M. Elad

  • Optimized Projections for Compressed Sensing

    M. Elad

  • A Variational Framework for Retinex

    Ron Kimmel;Michael Elad;Doron Shaked;Renato Keshet

  • Efficient Implementation of the K-SVD Algorithm using Batch Orthogonal Matching Pursuit

    Ron Rubinstein;Michael Zibulevsky;Michael Elad

  • Advances and Challenges in Super-Resolution

    Sina Farsiu;M. Dirk Robinson;Michael Elad;Peyman Milanfar

Frequent Co-Authors

Peyman Milanfar
Peyman Milanfar Google (United States)
Michael Zibulevsky
Michael Zibulevsky Technion – Israel Institute of Technology
Alfred M. Bruckstein
Alfred M. Bruckstein Technion – Israel Institute of Technology
Raja Giryes
Raja Giryes Tel Aviv University
David L. Donoho
David L. Donoho Stanford University
Ron Kimmel
Ron Kimmel Technion – Israel Institute of Technology
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Sina Farsiu
Sina Farsiu Duke University
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Julien Mairal
Julien Mairal French Institute for Research in Computer Science and Automation - INRIA

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