World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
7648
World Ranking
8583
National Ranking
2372

Ricardo Otazo publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ricardo Otazo sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 167 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ricardo Otazo D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ricardo Otazo sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

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

The last bar groups every scientist with 107 D-Index or more.

Overview

Ricardo Otazo is affiliated with Memorial Sloan Kettering Cancer Center in the United States. Their research primarily focuses on applications in medicine, with a strong emphasis on radiology, nuclear medicine, and imaging. Otazo's work spans several overlapping subfields, including atomic and molecular physics and optics, radiation, computer vision and pattern recognition, and materials chemistry.

The main topics covered in their research include advanced MRI techniques and applications, medical imaging techniques and applications, MRI in cancer diagnosis, atomic and subatomic physics research, radiomics and machine learning in medical imaging, advanced radiotherapy techniques, and advanced neuroimaging techniques and applications.

Otazo has published extensively, including papers such as:

  • MRI-guided Radiation Therapy: An Emerging Paradigm in Adaptive Radiation Oncology (2020, Radiology)
  • Accelerated MR spectroscopic imaging-a review of current and emerging techniques (2020, NMR in Biomedicine)
  • CEST MR fingerprinting (CEST-MRF) for brain tumor quantification using EPI readout and deep learning reconstruction (2022, Magnetic Resonance in Medicine)
  • MRSIGMA: Magnetic Resonance SIGnature MAtching for real-time volumetric imaging (2020, Magnetic Resonance in Medicine)
  • Movienet: Deep space-time-coil reconstruction network without k-space data consistency for fast motion-resolved 4D MRI (2023, Magnetic Resonance in Medicine)

Their frequent coauthors include Ouri Cohen, Can Wu, Víctor Murray, Victoria Yu, and Ramin Jafari.

Otazo has contributed to several key publication venues, with multiple publications appearing in the following:

  • 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
  • NMR in Biomedicine
  • Physics in Medicine and Biology
  • Magnetic Resonance Imaging

Best Publications

  • Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI

    Li Feng;Robert Grimm;Kai Tobias Block;Hersh Chandarana

  • Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components.

    Ricardo Otazo;Emmanuel Candès;Daniel K. Sodickson

  • XD-GRASP: Golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing.

    Li Feng;Leon Axel;Hersh Chandarana;Kai Tobias Block

  • Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI.

    Ricardo Otazo;Daniel Kim;Leon Axel;Daniel K. Sodickson

  • Compressed sensing for body MRI

    Li Feng;Thomas Benkert;Kai Tobias Block;Daniel K. Sodickson

  • Highly accelerated real-time cardiac cine MRI using k–t SPARSE-SENSE

    Li Feng;Monvadi B. Srichai;Ruth P. Lim;Alexis Harrison

  • Free-Breathing Contrast-Enhanced Multiphase MRI of the Liver Using a Combination of Compressed Sensing, Parallel Imaging, and Golden-Angle Radial Sampling

    Hersh Chandarana;Li Feng;Tobias K. Block;Andrew B. Rosenkrantz

  • On the Applications of Robust PCA in Image and Video Processing

    Thierry Bouwmans;Sajid Javed;Hongyang Zhang;Zhouchen Lin

  • MR spectroscopic imaging: Principles and recent advances

    Stefan Posse;Ricardo Otazo;Stephen R. Dager;Jeffry Alger

  • 5D whole-heart sparse MRI.

    Li Feng;Simone Coppo;Davide Piccini;Davide Piccini;Jerome Yerly

  • Proton echo-planar spectroscopic imaging of J-coupled resonances in human brain at 3 and 4 Tesla.

    Stefan Posse;Ricardo Otazo;Arvind Caprihan;Juan Bustillo

  • Signal-to-noise ratio and spectral linewidth improvements between 1.5 and 7 Tesla in proton echo-planar spectroscopic imaging.

    Ricardo Otazo;Ricardo Otazo;Bryon A Mueller;Kamil Ugurbil;Lawrence Wald

  • Accelerated phase‐contrast cine MRI using k‐t SPARSE‐SENSE

    Daniel Kim;Hadrien A. Dyvorne;Ricardo Otazo;Li Feng

  • MRI-guided Radiation Therapy: An Emerging Paradigm in Adaptive Radiation Oncology

    Ricardo Otazo;Philippe Lambin;Jean-Philippe Pignol;Mark E Ladd

  • Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer

    Florian Knoll;Martin Holler;Thomas Koesters;Ricardo Otazo

  • Sensitivity-encoded (SENSE) proton echo-planar spectroscopic imaging (PEPSI) in the human brain.

    Fa-Hsuan Lin;Shang-Yueh Tsai;Shang-Yueh Tsai;Ricardo Otazo;Ricardo Otazo;Arvind Caprihan

  • Accelerated MR spectroscopic imaging-a review of current and emerging techniques.

    Wolfgang Bogner;Ricardo Otazo;Anke Henning;Anke Henning

  • Respiratory Motion-Resolved Compressed Sensing Reconstruction of Free-Breathing Radial Acquisition for Dynamic Liver Magnetic Resonance Imaging.

    Hersh Chandarana;Li Feng;Justin Ream;Annie Wang

  • Accelerated cardiac T2 mapping using breath-hold multiecho fast spin-echo pulse sequence with k-t FOCUSS.

    Li Feng;Ricardo Otazo;Hong Jung;Jens H. Jensen

  • Four‐dimensional respiratory motion‐resolved whole heart coronary MR angiography

    Davide Piccini;Li Feng;Gabriele Bonanno;Simone Coppo

  • Dynamic contrast-enhanced MRI of the prostate with high spatiotemporal resolution using compressed sensing, parallel imaging, and continuous golden-angle radial sampling: Preliminary experience

    Andrew B. Rosenkrantz;Christian Geppert;Robert Grimm;Tobias K. Block

  • Golden-Angle Radial Sparse Parallel MRI: Combination of Compressed Sensing, Parallel Imaging, and Golden-Angle Radial Sampling for Fast and Flexible

    Li Feng;Robert Grimm;Kai Tobias Block;Hersh Chandarana

Frequent Co-Authors

Daniel K. Sodickson
Daniel K. Sodickson New York University
Leon Axel
Leon Axel New York University
Stefan Posse
Stefan Posse University of New Mexico
Florian Knoll
Florian Knoll University of Erlangen-Nuremberg
Lawrence L. Wald
Lawrence L. Wald Harvard University
Matthias Stuber
Matthias Stuber University of Lausanne
James S. Babb
James S. Babb New York University
Thomas F. O'Donnell
Thomas F. O'Donnell Beth Israel Deaconess Medical Center
Emmanuel J. Candès
Emmanuel J. Candès Stanford University
Ivan W. Selesnick
Ivan W. Selesnick New York University

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