World's Best Scientists 2026 revealed!
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
118
Citations
84652
World Ranking
155
National Ranking
91

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2018 - Fellow of the American Academy of Arts and Sciences
  • 2013 - SIAM Fellow For contributions to both theory and practice in the fields of image processing and computer vision.

Overview

Guillermo Sapiro is affiliated with Duke University in the United States. Their research spans several fields, primarily focused on Medicine and Computer Science. Within these areas, their work includes significant contributions to Cognitive Neuroscience, Artificial Intelligence, Education, Computer Vision and Pattern Recognition, and Clinical Psychology.

The scientist's research topics cover a diverse range including Autism Spectrum Disorder Research, Child Development and Digital Technology, Virology and Viral Diseases, Family and Disability Support Research, Child Nutrition and Feeding Issues, Infant Health and Development, and Neurological Disorders and Treatments.

Guillermo Sapiro's recent papers reflect engagement with both theoretical and applied aspects of these fields. Selected publications include:

  • Computational Methods to Measure Patterns of Gaze in Toddlers With Autism Spectrum Disorder, 2021, JAMA Pediatrics
  • GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions, 2021, arXiv (Cornell University)
  • Early detection of autism using digital behavioral phenotyping, 2023, Nature Medicine
  • Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism, 2020, Autism Research
  • To do no harm - and the most good - with AI in health care, 2024, Nature Medicine

Their collaborations include frequent co-authors:

  • J. Matías Di Martino
  • Géraldine Dawson
  • Kimberly L. H. Carpenter
  • Lauren Franz
  • Scott N. Compton

Guillermo Sapiro has published in multiple venues, with recurring publications appearing in:

  • arXiv (Cornell University)
  • Scientific Reports
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Autism Research
  • Nature Medicine

Recognition for their scientific contributions includes being named a Fellow of the American Academy of Arts and Sciences in 2018. Earlier, in 2013, they were honored as a SIAM Fellow for work in image processing and computer vision, emphasizing theoretical and practical contributions.

Best Publications

  • Geodesic Active Contours

    Vicent Caselles;Ron Kimmel;Guillermo Sapiro

  • Image inpainting

    Marcelo Bertalmio;Guillermo Sapiro;Vincent Caselles;Coloma Ballester

  • Online Learning for Matrix Factorization and Sparse Coding

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • Online dictionary learning for sparse coding

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography

    Oleg Kuybeda;Gabriel A. Frank;Alberto Bartesaghi;Mario Borgnia

  • The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS

    M.J. Weinberger;G. Seroussi;G. Sapiro

  • Sparse Representation for Computer Vision and Pattern Recognition

    John Wright;Yi Ma;Julien Mairal;Guillermo Sapiro

  • Sparse Representation for Color Image Restoration

    J. Mairal;M. Elad;G. Sapiro

  • Simultaneous structure and texture image inpainting

    M. Bertalmio;L. Vese;G. Sapiro;S. Osher

  • Non-local sparse models for image restoration

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • Robust anisotropic diffusion

    M.J. Black;G. Sapiro;D.H. Marimont;D. Heeger

  • Navier-stokes, fluid dynamics, and image and video inpainting

    M. Bertalmio;A.L. Bertozzi;G. Sapiro

  • Supervised Dictionary Learning

    Julien Mairal;Jean Ponce;Guillermo Sapiro;Andrew Zisserman

  • Geometric partial differential equations and image analysis

    Guillermo Sapiro

  • Filling-in by joint interpolation of vector fields and gray levels

    C. Ballester;M. Bertalmio;V. Caselles;G. Sapiro

  • Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

    Stamatios N. Sotiropoulos;Saâd Jbabdi;Junqian Xu;Jesper L. R. Andersson

  • Discriminative learned dictionaries for local image analysis

    J. Mairal;F. Bach;J. Ponce;G. Sapiro

  • Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

    Kamil Ugurbil;Junqian Xu;Edward J. Auerbach;Steen Moeller

  • Classification and clustering via dictionary learning with structured incoherence and shared features

    Ignacio Ramirez;Pablo Sprechmann;Guillermo Sapiro

  • LOCO-I: a low complexity, context-based, lossless image compression algorithm

    M.J. Weinberger;G. Seroussi;G. Sapiro

  • Supervised Dictionary Learning

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

Frequent Co-Authors

Alexander M. Bronstein
Alexander M. Bronstein Technion – Israel Institute of Technology
Paul M. Thompson
Paul M. Thompson University of Southern California
Vicent Caselles
Vicent Caselles University of Valencia
Allen Tannenbaum
Allen Tannenbaum Stony Brook University
Lawrence Carin
Lawrence Carin Duke University
Marcelo Bertalmío
Marcelo Bertalmío Spanish National Research Council
Geraldine Dawson
Geraldine Dawson Duke University
Sriram Subramaniam
Sriram Subramaniam University of British Columbia
Raja Giryes
Raja Giryes Tel Aviv University
Neda Jahanshad
Neda Jahanshad University of Southern California

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