World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
9102
World Ranking
12390
National Ranking
191

Michael Zibulevsky 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 Zibulevsky 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: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Michael Zibulevsky 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 Zibulevsky 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Michael Zibulevsky is affiliated with the Technion - Israel Institute of Technology in Israel. Their research spans several main fields including Medicine and Physics and Astronomy, with a focus on subfields such as Radiology, Nuclear Medicine and Imaging, Radiation, Computational Mechanics, Statistical and Nonlinear Physics, and Artificial Intelligence.

The main topics of Michael Zibulevsky's work include Medical Imaging Techniques and Applications, Advanced MRI Techniques and Applications, Advanced X-ray Imaging Techniques, Sparse and Compressive Sensing Techniques, Model Reduction and Neural Networks, Stochastic Gradient Optimization Techniques, and Radiation Dose and Imaging.

Recent papers authored or co-authored by Michael Zibulevsky are:

  • "PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI," 2021, The Journal of Machine Learning for Biomedical Imaging
  • "Primal-Dual Sequential Subspace Optimization for Saddle-point Problems," 2020, arXiv (Cornell University)
  • "Radiation design in computed tomography via convex optimization," 2023, arXiv (Cornell University)

Frequent co-authors of Michael Zibulevsky include:

  • Tomer Weiss
  • Ortal Senouf
  • Sanketh Vedula
  • Oleg Michailovich
  • Alex Bronstein

Michael Zibulevsky's work has been published predominantly in venues such as arXiv (Cornell University) and The Journal of Machine Learning for Biomedical Imaging. The distribution of publications is mainly two papers in arXiv and one in The Journal of Machine Learning for Biomedical Imaging.

Best Publications

  • Blind Source Separation by Sparse Decomposition in a Signal Dictionary

    Michael Zibulevsky;Barak A. Pearlmutter

  • Underdetermined blind source separation using sparse representations

    Pau Bofill;Michael Zibulevsky

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

    Ron Rubinstein;Michael Zibulevsky;Michael Elad

  • Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation

    R. Rubinstein;M. Zibulevsky;M. Elad

  • L1-L2 Optimization in Signal and Image Processing

    Michael Zibulevsky;Michael Elad

  • Blind source separation by sparse decomposition

    Michael Zibulevsky;Barak A. Pearlmutter;Pau Bofill;Pavel Kisilev

  • On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations

    A.M. Bruckstein;M. Elad;M. Zibulevsky

  • Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization

    Michael Elad;Boaz Matalon;Michael Zibulevsky

  • Penalty/Barrier Multiplier Methods for Convex Programming Problems

    Aharon Ben-Tal;Michael Zibulevsky

  • Sparsity-based single-shot subwavelength coherent diffractive imaging

    A. Szameit;Y. Shechtman;E. Osherovich;E. Bullkich

  • A wide-angle view at iterated shrinkage algorithms

    M. Elad;B. Matalon;J. Shtok;M. Zibulevsky

  • Reconstruction in diffraction ultrasound tomography using nonuniform FFT

    M.M. Bronstein;A.M. Bronstein;M. Zibulevsky;H. Azhari

  • Blind deconvolution of images using optimal sparse representations

    M.M. Bronstein;A.M. Bronstein;M. Zibulevsky;Y.Y. Zeevi

  • Sparse ICA for blind separation of transmitted and reflected images

    Alexander M. Bronstein;Michael M. Bronstein;Michael Zibulevsky;Yehoshua Y. Zeevi

  • Blind Source Separation via Multinode Sparse Representation

    Michael Zibulevsky;Pavel Kisilev;Yehoshua Y. Zeevi;Barak A. Pearlmutter

  • Image Denoising with Shrinkage and Redundant Representations

    M. Elad;B. Matalon;M. Zibulevsky

  • Extraction of a source from multichannel data using sparse decomposition

    Michael Zibulevsky;Yehoshua Y. Zeevi

  • Signal reconstruction in sensor arrays using sparse representations

    Dmitri Model;Michael Zibulevsky

  • Trainlets: Dictionary Learning in High Dimensions

    Jeremias Sulam;Boaz Ophir;Michael Zibulevsky;Michael Elad

  • Blind Source Separation by Sparse Decomposition

    Michael Zibulevsky;Barak A. Pearlmutter

  • Sparsity-based single-shot subwavelength coherent diffractive imaging

    Eliyahu Osherovich;Yoav Shechtman;Alexander Szameit;Pavel Sidorenko

  • Sparsity-based single-shot sub-wavelength coherent diffractive imaging

    Yoav Shechtman;Alexander Szameit;Elad Bullkich;Oren Cohen

Frequent Co-Authors

Alexander M. Bronstein
Alexander M. Bronstein Technion – Israel Institute of Technology
Michael M. Bronstein
Michael M. Bronstein University of Oxford
Yehoshua Y. Zeevi
Yehoshua Y. Zeevi Technion – Israel Institute of Technology
Michael Elad
Michael Elad Technion – Israel Institute of Technology
Barak A. Pearlmutter
Barak A. Pearlmutter National University of Ireland, Maynooth
Ron Kimmel
Ron Kimmel Technion – Israel Institute of Technology
Alexander Szameit
Alexander Szameit University of Rostock
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Yoav Y. Schechner
Yoav Y. Schechner Technion – Israel Institute of Technology
Mordechai Segev
Mordechai Segev Technion – Israel Institute of Technology

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