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Engineering and Technology
USA
2026

D-Index & Metrics

Engineering and Technology

D-Index
97
Citations
32961
World Ranking
178
National Ranking
64

Lawrence L. Wald 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 Lawrence L. Wald 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: 463 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Lawrence L. Wald 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 Lawrence L. Wald 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: 97 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
  • 2019 - Fellow, National Academy of Inventors
  • 2012 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Lawrence L. Wald is affiliated with Harvard University in the United States and has contributed extensively to the fields of medicine, particularly focusing on radiology, nuclear medicine, and imaging. Their research includes over 277 publications in medicine, with 225 specifically related to radiology, nuclear medicine, and imaging, as well as significant work spanning atomic and molecular physics, biomedical engineering, cognitive neuroscience, and neurology.

The scientist's work covers a broad range of advanced topics in medical imaging and neuroimaging. These include:

  • Advanced MRI Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • Atomic and Subatomic Physics Research
  • Advanced NMR Techniques and Applications
  • Functional Brain Connectivity Studies
  • MRI in cancer diagnosis
  • Medical Imaging Techniques and Applications

Many of Lawrence L. Wald's research outputs have been published across multiple prominent scientific venues. These frequent publication platforms 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
  • Magnetic Resonance in Medicine
  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Brain stimulation

Their recent papers demonstrate ongoing engagement with advancing MRI technology and applications. Notable papers include:

  • A portable scanner for magnetic resonance imaging of the brain (2020, Nature Biomedical Engineering)
  • Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome (2021, NeuroImage)
  • Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla (2023, Nature Methods)
  • Axon diameter index estimation independent of fiber orientation distribution using high-gradient diffusion MRI (2020, NeuroImage)
  • In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution (2021, Scientific Data)

Lawrence L. Wald has collaborated frequently with several researchers, reflecting a network of interdisciplinary work. Frequent co-authors include:

  • Jason Stockmann
  • Susie Y. Huang
  • Bastien Guérin
  • Boris Keil
  • Fuyixue Wang

Recognition of their contributions is evident in awards such as:

  • Fellow, National Academy of Inventors (2019)
  • Fellow of the Indian National Academy of Engineering (INAE) (2012)

Best Publications

  • Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty.

    Kawin Setsompop;Borjan A. Gagoski;Jonathan R. Polimeni;Thomas Witzel;Thomas Witzel

  • A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI

    Juan Eugenio Iglesias;Jean C. Augustinack;Khoa Nguyen;Christopher M. Player

  • Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters.

    Christina Triantafyllou;Richard D. Hoge;Gunnar Krueger;Christopher J. Wiggins

  • Pushing the limits of in vivo diffusion MRI for the Human Connectome Project

    K. Setsompop;R. Kimmlingen;E. Eberlein;T. Witzel

  • Laminar analysis of 7 T BOLD using an imposed spatial activation pattern in human V1

    Jonathan R. Polimeni;Bruce Fischl;Bruce Fischl;Douglas N. Greve;Lawrence L. Wald;Lawrence L. Wald

  • Automated segmentation of hippocampal subfields from ultra‐high resolution in vivo MRI

    Koen Van Leemput;Koen Van Leemput;Akram Bakkour;Thomas Benner;Graham Wiggins

  • Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.

    Avram J. Holmes;Marisa O. Hollinshead;Timothy M. O’Keefe;Victor I. Petrov

  • Visual word processing and experiential origins of functional selectivity in human extrastriate cortex

    Chris I. Baker;Jia Liu;Lawrence L. Wald;Kenneth K. Kwong

  • 32-channel 3 Tesla receive-only phased-array head coil with soccer-ball element geometry.

    G.C. Wiggins;C. Triantafyllou;A. Potthast;A. Reykowski

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

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

  • Improving diffusion MRI using simultaneous multi-slice echo planar imaging.

    Kawin Setsompop;Julien Cohen-Adad;Borjan A. Gagoski;Tommi Raij

  • The Human Connectome Project and Beyond: Initial Applications of 300 mT/m Gradients

    Jennifer A. McNab;Brian L. Edlow;Thomas Witzel;Susie Yi Huang

  • Theory and application of array coils in MR spectroscopy

    Steven M. Wright;Lawrence L. Wald;Lawrence L. Wald

  • Stereopsis activates V3A and caudal intraparietal areas in macaques and humans

    Doris Y. Tsao;Wim Vanduffel;Wim Vanduffel;Yuka Sasaki;Denis Fize

  • Three dimensional echo-planar imaging at 7 Tesla.

    Benedikt A. Poser;Peter J. Koopmans;Thomas Witzel;Thomas Witzel;Lawrence L. Wald;Lawrence L. Wald

  • Parallel imaging reconstruction using automatic regularization

    Fa-Hsuan Lin;Kenneth K. Kwong;John W. Belliveau;Lawrence L. Wald

  • Organization of high-level visual cortex in human infants

    Ben Deen;Hilary Richardson;Daniel D. Dilks;Daniel D. Dilks;Atsushi Takahashi

  • Interslice leakage artifact reduction technique for simultaneous multislice acquisitions

    Stephen F. Cauley;Jonathan R. Polimeni;Himanshu Bhat;Lawrence L. Wald;Lawrence L. Wald

  • 96-Channel Receive-Only Head Coil for 3 Tesla: Design Optimization and Evaluation

    Graham C. Wiggins;Jonathan R. Polimeni;Andreas Potthast;Melanie Schmitt

  • Repeated fMRI using iron oxide contrast agent in awake, behaving macaques at 3 Tesla.

    Francisca Pais Leite;Doris Tsao;Wim Vanduffel;Denis Fize

  • 7 Tesla MRI of the ex vivo human brain at 100 micron resolution

    Brian L. Edlow;Azma Mareyam;Andreas Horn;Jonathan R. Polimeni

Frequent Co-Authors

Kawin Setsompop
Kawin Setsompop Stanford University
Thomas Witzel
Thomas Witzel Harvard University
Bruce R. Rosen
Bruce R. Rosen Harvard University
Bruce Fischl
Bruce Fischl Harvard University
Berkin Bilgic
Berkin Bilgic Harvard University
Wim Vanduffel
Wim Vanduffel Harvard University
Julien Cohen-Adad
Julien Cohen-Adad Polytechnique Montréal
Jean C. Augustinack
Jean C. Augustinack Harvard University
P. Ellen Grant
P. Ellen Grant Boston Children's Hospital
André J. W. van der Kouwe
André J. W. van der Kouwe Harvard University

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