World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
36248
World Ranking
1122
National Ranking
600

Guido Gerig publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Guido Gerig sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 327 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Guido Gerig D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Guido Gerig sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 79 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to medical image processing
  • 2012 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Guido Gerig is affiliated with New York University in the United States and has contributed extensively to research in the field of medicine, focusing primarily on radiology, nuclear medicine, and imaging. Their scholarly work spans over a hundred publications with notable engagement in pediatrics, perinatology, child health, cognitive neuroscience, computer vision, pattern recognition, and artificial intelligence.

The scientist's research covers several main topics, including:

  • Advanced Neuroimaging Techniques and Applications
  • Fetal and Pediatric Neurological Disorders
  • Autism Spectrum Disorder Research
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques
  • Neonatal and fetal brain pathology
  • Functional Brain Connectivity Studies

Guido Gerig has authored and co-authored papers published in a variety of venues. Frequent publication outlets include:

  • UNC Libraries
  • arXiv (Cornell University)
  • Lecture Notes in Computer Science
  • Journal of Neurodevelopmental Disorders
  • 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

Among recent papers, the following are notable:

  • "Subcortical Brain Development in Autism and Fragile X Syndrome: Evidence for Dynamic, Age- and Disorder-Specific Trajectories in Infancy," 2022, American Journal of Psychiatry
  • "Infant Visual Brain Development and Inherited Genetic Liability in Autism," 2022, American Journal of Psychiatry
  • "Generative Adversarial Registration for Improved Conditional Deformable Templates," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Sex differences associated with corpus callosum development in human infants: A longitudinal multimodal imaging study," 2020, NeuroImage
  • "Enlarged Perivascular Spaces in Infancy and Autism Diagnosis, Cerebrospinal Fluid Volume, and Later Sleep Problems," 2023, JAMA Network Open

Gerig has collaborated frequently with several researchers across numerous projects. Among these co-authors are Martin Styner, Joseph Piven, Stephen R. Dager, Heather C. Hazlett, and Annette Estes.

Recognition of Guido Gerig's contributions includes being named IEEE Fellow in 2019 for work in medical image processing and election as a Fellow of the Indian National Academy of Engineering (INAE) in 2012.

Best Publications

  • User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

    Paul A. Yushkevich;Joseph Piven;Heather Cody Hazlett;Rachel Gimpel Smith

  • Nonlinear anisotropic filtering of MRI data

    G. Gerig;O. Kubler;R. Kikinis;F.A. Jolesz

  • Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images.

    Yoshinobu Sato;Shin Nakajima;Nobuyuki Shiraga;Hideki Atsumi

  • Unbiased diffeomorphic atlas construction for computational anatomy.

    S. Joshi;Brad Davis;Matthieu Jomier;Guido Gerig

  • Parametrization of closed surfaces for 3-D shape description

    Ch. Brechbühler;G. Gerig;O. Kübler

  • A brain tumor segmentation framework based on outlier detection.

    Marcel Prastawa;Elizabeth Bullitt;Sean Ho;Guido Gerig

  • Parametric estimate of intensity inhomogeneities applied to MRI

    M. Styner;C. Brechbuhler;G. Szckely;G. Gerig

  • Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005

    James S. Duncan;Guido Gerig

  • ITK-SNAP: An interactive tool for semi-automatic segmentation of multi-modality biomedical images

    Paul A. Yushkevich;Yang Gao;Guido Gerig

  • Elastic model-based segmentation of 3-D neuroradiological data sets

    A. Kelemen;G. Szekely;G. Gerig

  • Measuring tortuosity of the intracerebral vasculature from MRA images

    E. Bullitt;G. Gerig;S.M. Pizer;Weili Lin

  • Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM

    Martin Styner;Ipek Oguz;Shun Xu;Christian Brechbühler

  • Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation

    Guido Gerig;Matthieu Jomier;Miranda Chakos

  • Multiscale detection of curvilinear structures in 2-D and 3-D image data

    T.M. Koller;G. Gerig;G. Szekely;D. Dettwiler

  • Automatic segmentation of MR images of the developing newborn brain.

    Marcel Prastawa;John H. Gilmore;Weili Lin;Guido Gerig

  • 3D Multi-scale line filter for segmentation and visualization of curvilinear structures in medical images

    Yoshinobu Sato;Shin Nakajima;Hideki Atsumi;Thomas Koller

  • Level-set evolution with region competition: automatic 3-D segmentation of brain tumors

    S. Ho;E. Bullitt;G. Gerig

  • Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models

    Gábor Székely;András Kelemen;Christian Brechbühler;Guido Gerig

  • Vessel tortuosity and brain tumor malignancy: a blinded study.

    Elizabeth Bullitt;Donglin Zeng;Guido Gerig;Stephen Aylward

  • Shape analysis of brain ventricles using SPHARM

    G. Gerig;M. Styner;D. Jones;D. Weinberger

Frequent Co-Authors

Martin Styner
Martin Styner University of North Carolina at Chapel Hill
Joseph Piven
Joseph Piven University of North Carolina at Chapel Hill
Weili Lin
Weili Lin University of North Carolina at Chapel Hill
Heather C. Hazlett
Heather C. Hazlett University of North Carolina at Chapel Hill
Sarang Joshi
Sarang Joshi University of Utah
Elizabeth Bullitt
Elizabeth Bullitt University of North Carolina at Chapel Hill
Sarah Paterson
Sarah Paterson Temple University
Jed T. Elison
Jed T. Elison University of Minnesota
Robert T. Schultz
Robert T. Schultz Children's Hospital of Philadelphia
Annette Estes
Annette Estes University of Washington

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