World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
81
Citations
24586
World Ranking
493
National Ranking
169

Norbert J. Pelc 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 Norbert J. Pelc 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: 380 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Norbert J. Pelc 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 Norbert J. Pelc 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: 81 D-Index — 95th percentile

95% 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

  • 2020 - Fellow, National Academy of Inventors
  • 2017 - SPIE Fellow
  • 2012 - Member of the National Academy of Engineering For development of algorithms and technologies for MRI, CT, and hybrid X-ray/MRI imaging.
  • 2007 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Norbert J. Pelc is affiliated with Stanford University in the United States. Their research primarily spans the fields of Medicine and Engineering, with a strong interdisciplinary focus on Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering. Additional areas of study include Pulmonary and Respiratory Medicine, Oral Surgery, and Radiation.

The scientist's work encompasses a range of topics within medical imaging, particularly relating to advanced X-ray and CT imaging, radiation dose management, and imaging techniques and applications. Key areas of focus are:

  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Medical Imaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Digital Radiography and Breast Imaging
  • Dental Radiography and Imaging
  • Ultrasound and Hyperthermia Applications

Frequent publication venues for their work include:

  • Medical Physics
  • Journal of Medical Imaging
  • Medical Imaging 2022: Physics of Medical Imaging
  • Medical Imaging 2020: Physics of Medical Imaging
  • arXiv (Cornell University)

Norbert J. Pelc has collaborated extensively with several researchers, including:

  • Adam Wang
  • Sen Wang
  • Debashish Pal
  • Zhye Yin
  • Yirong Yang

Among notable recent publications are:

  • "Principles and applications of multienergy CT: Report of AAPM Task Group 291" (2020), Medical Physics
  • "How CT happened: the early development of medical computed tomography" (2021), Journal of Medical Imaging
  • "Spectral Photon Counting CT: Imaging Algorithms and Performance Assessment" (2020), IEEE Transactions on Radiation and Plasma Medical Sciences
  • "Acoustic Attenuation: Multifrequency Measurement and Relationship to CT and MR Imaging" (2020), IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • "A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique" (2022), IEEE Access

The scientist has received several recognitions, including:

  • Fellow, National Academy of Inventors (2020)
  • SPIE Fellow (2017)
  • Member of the National Academy of Engineering (2012) for the development of algorithms and technologies for MRI, CT, and hybrid X-ray/MRI imaging
  • Fellow of the Indian National Academy of Engineering (INAE) (2007)

Best Publications

  • Photon-counting CT: Technical Principles and Clinical Prospects.

    Martin J. Willemink;Mats Persson;Amir Pourmorteza;Norbert J. Pelc

  • Generalized image combinations in dual KVP digital radiography.

    L. A. Lehmann;R. E. Alvarez;A. Macovski;W. R. Brody

  • Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) : application with fast spin-echo imaging

    Scott B. Reeder;Angel R. Pineda;Zhifei Wen;Ann Shimakawa

  • Phase contrast cine magnetic resonance imaging.

    N J Pelc;R J Herfkens;A Shimakawa;D R Enzmann

  • Multicoil Dixon chemical species separation with an iterative least-squares estimation method.

    Scott B. Reeder;Zhifei Wen;Huanzhou Yu;Angel R. Pineda

  • Concomitant gradient terms in phase contrast MR: Analysis and correction

    Matt A. Bernstein;Xiaohong Joe Zhou;Jason A. Polzin;Kevin F. King

  • Encoding strategies for three‐direction phase‐contrast MR imaging of flow

    Norbert J. Pelc;Matt A. Bernstein;Ann Shimakawa;Gary H. Glover

  • Unaliasing by fourier-encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI.

    Bruno Madore;Gary H. Glover;Norbert J. Pelc

  • Time-resolved three-dimensional phase-contrast MRI.

    Michael Markl;Frandics P. Chan;Marcus T. Alley;Kris L. Wedding

  • Normal flow patterns of intracranial and spinal cerebrospinal fluid defined with phase-contrast cine MR imaging.

    D R Enzmann;N J Pelc

  • Rapid calculation of T1 using variable flip angle gradient refocused imaging.

    Evan K. Fram;Robert J. Herfkens;G.Allan Johnson;Gary H. Glover

  • Analysis of T2 limitations and off-resonance effects on spatial resolution and artifacts in echo-planar imaging

    Farhad Farzaneh;Stephen J. Riederer;Norbert J. Pelc

  • Comparison of linear and circular polarization for magnetic resonance imaging

    G.H Glover;C.E Hayes;N.J Pelc;W.A Edelstein

  • Quantitative magnetic resonance flow imaging.

    Pelc Nj;Sommer Fg;Li Kc;Brosnan Tj

  • AN ALGORITHM FOR THE REDUCTION OF METAL CLIP ARTIFACTS IN CT RECONSTRUCTIONS

    G. H. Glover;N. J. Pelc

  • An algorithm for the reduction of metal clip artifacts in CT reconstructions

    Gary H. Glover;Norbert J. Pelc

  • Brain motion : measurement with phase-contrast MR imaging

    D R Enzmann;N J Pelc

  • Noise Due to Photon Counting Statistics in Computed X-Ray Tomography

    David A. Chesler;Stephen J. Riederer;Norbert J. Pelc

  • The noise power spectrum in computed X-ray tomography.

    S J Riederer;Norbert J Pelc;D A Chesler

  • Field map estimation with a region growing scheme for iterative 3-point water-fat decomposition

    Huanzhou Yu;Scott B. Reeder;Ann Shimakawa;Jean H. Brittain

  • Time-resolved 3-dimensional velocity mapping in the thoracic aorta: visualization of 3-directional blood flow patterns in healthy volunteers and patients.

    Michael Markl;Mary T Draney;Michael D Hope;Jonathan M Levin

  • Cerebrospinal fluid flow measured by phase-contrast cine MR.

    Dieter R. Enzmann;Norbert J. Pelc

Frequent Co-Authors

Gary H. Glover
Gary H. Glover Stanford University
Rebecca Fahrig
Rebecca Fahrig Siemens Healthcare (United States)
Robert J. Herfkens
Robert J. Herfkens Stanford University
Michael Markl
Michael Markl Northwestern University
John M. Pauly
John M. Pauly Stanford University
Roland Bammer
Roland Bammer Monash University
Garry E. Gold
Garry E. Gold Stanford University
Sandy Napel
Sandy Napel Stanford University

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