World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
24472
World Ranking
6280
National Ranking
2808

Michael Lustig 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 Lustig 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: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Michael Lustig 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 Lustig 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: 47 D-Index — 56th percentile

56% 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

  • 2013 - Fellow of Alfred P. Sloan Foundation

Overview

Michael Lustig is affiliated with the University of California, Berkeley in the United States. Their research primarily spans medicine and engineering, with significant focus on medical imaging and advanced MRI techniques.

The scientist's main fields of study include:

  • Medicine
  • Engineering

Within these fields, key subfields of study in their work are:

  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

The central topics covered in their publications are:

  • Advanced MRI Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Atomic and Subatomic Physics Research
  • Advanced Neuroimaging Techniques and Applications
  • Wireless Body Area Networks
  • Radiomics and Machine Learning in Medical Imaging
  • Photoacoustic and Ultrasonic Imaging

Michael Lustig has published in various venues, with frequent contributions to:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition / Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Magnetic Resonance in Medicine
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Advanced Materials Technologies

The scientist's recent papers include:

  • "Implicit data crimes: Machine learning bias arising from misuse of public data" (2022), Proceedings of the National Academy of Sciences
  • "Extreme MRI: Large-scale volumetric dynamic imaging from continuous non-gated acquisitions" (2020), Magnetic Resonance in Medicine
  • "Impact Tech Startups: A Conceptual Framework, Machine-Learning-Based Methodology and Future Research Directions" (2021), Sustainability
  • "Direct 16S/18S rRNA Gene PCR Followed by Sanger Sequencing as a Clinical Diagnostic Tool for Detection of Bacterial and Fungal Infections: a Systematic Review and Meta-Analysis" (2023), Journal of Clinical Microbiology
  • "Quantitative anatomy mimicking slice phantoms" (2021), Magnetic Resonance in Medicine

Frequent co-authors collaborating with Michael Lustig are:

  • Shreyas Vasanawala
  • Ana Claudia Arias
  • Julian Maravilla
  • Frank Ong
  • Peder E. Z. Larson

Among honors received, Michael Lustig was awarded the Fellow of the Alfred P. Sloan Foundation in 2013.

Best Publications

  • Sparse MRI: The application of compressed sensing for rapid MR imaging.

    Michael Lustig;David Donoho;John M. Pauly

  • An Interior-Point Method for Large-Scale $ll_1$ -Regularized Least Squares

    Seung-Jean Kim;K. Koh;M. Lustig;S. Boyd

  • Compressed Sensing MRI

    M. Lustig;D.L. Donoho;J.M. Santos;J.M. Pauly

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

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

  • SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space.

    Michael Lustig;Michael Lustig;John M. Pauly

  • k-t SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity

    M. Lustig;J. M. Santos;D. L. Donoho;J. M. Pauly

  • Calibrationless parallel imaging reconstruction based on structured low‐rank matrix completion

    Peter J. Shin;Peter J. Shin;Peder E. Z. Larson;Peder E. Z. Larson;Michael A. Ohliger;Michael Elad

  • Fast $ll_1$ -SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime

    M. Murphy;M. Alley;J. Demmel;K. Keutzer

  • Coil compression for accelerated imaging with Cartesian sampling.

    Tao Zhang;John M. Pauly;Shreyas S. Vasanawala;Michael Lustig

  • Improved Pediatric MR Imaging with Compressed Sensing

    Shreyas S. Vasanawala;Marcus T. Alley;Brian A. Hargreaves;Richard A. Barth

  • Compressed sensing for resolution enhancement of hyperpolarized 13C flyback 3D-MRSI.

    Simon Hu;Michael Lustig;Albert P. Chen;Jason Crane

  • T2 shuffling: Sharp, multicontrast, volumetric fast spin‐echo imaging

    Jonathan I. Tamir;Martin Uecker;Weitian Chen;Peng Lai

  • Multi-Scale Dictionary Learning Using Wavelets

    B. Ophir;M. Lustig;M. Elad

  • Screen-printed flexible MRI receive coils

    Joseph R. Corea;Anita M. Flynn;Balthazar Lechêne;Greig Scott

  • Fast dynamic 3D MR spectroscopic imaging with compressed sensing and multiband excitation pulses for hyperpolarized 13C studies.

    Peder E. Z. Larson;Simon Hu;Michael Lustig;Adam B. Kerr

  • Multiband excitation pulses for hyperpolarized 13C dynamic chemical-shift imaging

    Peder E.Z. Larson;Adam B. Kerr;Albert P. Chen;Michael S. Lustig

  • Free‐breathing pediatric MRI with nonrigid motion correction and acceleration

    Joseph Y. Cheng;Tao Zhang;Nichanan Ruangwattanapaisarn;Marcus T. Alley

  • Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

    SS Vasanawala;MJ Murphy;MT Alley;P Lai

  • 3D compressed sensing for highly accelerated hyperpolarized (13)C MRSI with in vivo applications to transgenic mouse models of cancer.

    Simon Hu;Michael Lustig;Asha Balakrishnan;Peder E. Z. Larson

  • Better than real: Complex-valued neural nets for MRI fingerprinting

    Patrick Virtue;Stella X. Yu;Michael Lustig

  • Pulse sequence for dynamic volumetric imaging of hyperpolarized metabolic products

    Charles H. Cunningham;Albert P. Chen;Michael Lustig;Brian A. Hargreaves

Frequent Co-Authors

John M. Pauly
John M. Pauly Stanford University
Daniel B. Vigneron
Daniel B. Vigneron University of California, San Francisco
John Kurhanewicz
John Kurhanewicz University of California, San Francisco
Sarah J. Nelson
Sarah J. Nelson University of California, San Francisco
Dwight G. Nishimura
Dwight G. Nishimura Stanford University
Ana Claudia Arias
Ana Claudia Arias University of California, Berkeley
David L. Donoho
David L. Donoho Stanford University
Lucio Frydman
Lucio Frydman Weizmann Institute of Science
Stella X. Yu
Stella X. Yu University of Michigan–Ann Arbor
Michael Elad
Michael Elad Technion – Israel Institute of Technology

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