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Engineering and Technology
USA
2026

D-Index & Metrics

Engineering and Technology

D-Index
98
Citations
45029
World Ranking
160
National Ranking
57

John M. Pauly 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 John M. Pauly 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: 353 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

John M. Pauly 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 John M. Pauly 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: 98 D-Index — 98th percentile

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

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2014 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

John M. Pauly is affiliated with Stanford University in the United States. Their research spans multiple fields, including Medicine, Engineering, and Computer Science, with significant focus on subfields such as Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, and Electrical and Electronic Engineering.

The main topics of their work include Advanced MRI Techniques and Applications, Medical Imaging Techniques and Applications, Radiomics and Machine Learning in Medical Imaging, Advanced X-ray and CT Imaging, Sparse and Compressive Sensing Techniques, Atomic and Subatomic Physics Research, and Medical Image Segmentation Techniques.

John M. Pauly has contributed to a range of scientific publications. Some recent papers include:

  • Adapted large language models can outperform medical experts in clinical text summarization (2024, Nature Medicine)
  • Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging (2020, IEEE Signal Processing Magazine)
  • NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction (2022, IEEE Transactions on Neural Networks and Learning Systems)
  • Ultra-Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs (2020, Radiology)
  • Analysis of deep complex-valued convolutional neural networks for MRI reconstruction and phase-focused applications (2021, Magnetic Resonance in Medicine)

Their frequent publication venues include:

  • 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
  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • Magnetic Resonance in Medicine
  • IEEE Signal Processing Magazine

Frequent co-authors in their research consist of Shreyas Vasanawala, Ali Syed, Greig Scott, Morteza Mardani, and Akshay Chaudhari.

In recognition of their contributions, John M. Pauly was named a Fellow of the Indian National Academy of Engineering (INAE) in 2014.

Best Publications

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

    Michael Lustig;David Donoho;John M. Pauly

  • 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

  • Control over brain activation and pain learned by using real-time functional MRI.

    R. Christopher deCharms;Fumiko Maeda;Gary H. Glover;David Ludlow

  • Parameter relations for the Shinnar-Le Roux selective excitation pulse design algorithm (NMR imaging)

    J. Pauly;P. Le Roux;D. Nishimura;A. Macovski

  • A k-space analysis of small-tip-angle excitation

    John Pauly;Dwight Nishimura;Albert Macovski

  • Projection reconstruction techniques for reduction of motion effects in MRI.

    G. H. Glover;J. M. Pauly

  • Simultaneous spatial and spectral selective excitation.

    Meyer Ch;Pauly Jm;Macovski A;Nishimura Dg

  • Metal-Induced Artifacts in MRI

    Brian A Hargreaves;Pauline W Worters;Kim Butts Pauly;John M Pauly

  • Deep Generative Adversarial Neural Networks for Compressive Sensing MRI

    Morteza Mardani;Enhao Gong;Joseph Y. Cheng;Shreyas S. Vasanawala

  • Positive contrast magnetic resonance imaging of cells labeled with magnetic nanoparticles

    Charles H. Cunningham;Takayasu Arai;Phillip C. Yang;Michael V. McConnell

  • Lung parenchyma: projection reconstruction MR imaging.

    C. J. Bergin;J. M. Pauly;Al Macovski

  • Saturated double-angle method for rapid B1+ mapping.

    Charles H. Cunningham;John M. Pauly;Krishna S. Nayak

  • SEMAC: Slice Encoding for Metal Artifact Correction in MRI

    Wenmiao Lu;Kim Butts Pauly;Garry E. Gold;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

  • Rapid gridding reconstruction with a minimal oversampling ratio

    P.J. Beatty;D.G. Nishimura;J.M. Pauly

  • Hyperpolarized 13C MRI: Path to Clinical Translation in Oncology

    John Kurhanewicz;Daniel B Vigneron;Jan Henrik Ardenkjaer-Larsen;James A Bankson

  • Learned regulation of spatially localized brain activation using real-time fMRI.

    R.Christopher deCharms;Kalina Christoff;Gary H Glover;John 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

  • A homogeneity correction method for magnetic resonance imaging with time-varying gradients

    D.C. Noll;C.H. Meyer;J.M. Pauly;D.G. Nishimura

  • Referenceless PRF shift thermometry.

    Viola Rieke;Karl K. Vigen;Graham Sommer;Bruce L. Daniel

  • Deblurring for non-2D Fourier transform magnetic resonance imaging.

    D C Noll;J M Pauly;C H Meyer;D G Nishimura

Frequent Co-Authors

Dwight G. Nishimura
Dwight G. Nishimura Stanford University
Michael Lustig
Michael Lustig University of California, Berkeley
Daniel B. Vigneron
Daniel B. Vigneron University of California, San Francisco
Garry E. Gold
Garry E. Gold Stanford University
Craig H. Meyer
Craig H. Meyer University of Virginia
John Kurhanewicz
John Kurhanewicz University of California, San Francisco
Krishna S. Nayak
Krishna S. Nayak University of Southern California
Sarah J. Nelson
Sarah J. Nelson University of California, San Francisco
Gary H. Glover
Gary H. Glover Stanford University
Kim Butts Pauly
Kim Butts Pauly Stanford University

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