World's Best Scientists 2026 revealed!
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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

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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