World's Best Scientists 2026 revealed!
James S. Duncan

James S. Duncan

D-Index & Metrics

Computer Science

D-Index
69
Citations
24509
World Ranking
1939
National Ranking
982

James S. Duncan 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 James S. Duncan 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: 403 publications — 87th percentile

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

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

James S. Duncan 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 James S. Duncan 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: 69 D-Index — 87th percentile

87% 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

  • 2001 - IEEE Fellow For contributions to medical image analysis and computer vision.
  • 2000 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

James S. Duncan is affiliated with Yale University in the United States and has an extensive publication record in the areas of medicine and computer science. Their research primarily focuses on the intersection of medical imaging and computational techniques.

The scientist's main fields of study include:

  • Medicine
  • Computer Science

Their subfields of study are diverse and specialized, encompassing:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Cardiology and Cardiovascular Medicine

James S. Duncan's research covers several prominent topics related to medical imaging and machine learning:

  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Advanced MRI Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Medical Image Segmentation Techniques
  • Cardiac Valve Diseases and Treatments

Some of their recent papers include:

  • "BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis," 2021, Medical Image Analysis
  • "Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results," 2020, Medical Image Analysis
  • "SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation," 2022, IEEE Transactions on Medical Imaging
  • "AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients," 2020, arXiv (Cornell University)

The scientist has collaborated frequently with other researchers, notably:

  • Lawrence H. Staib
  • Nicha C. Dvornek
  • Chi Liu
  • Albert J. Sinusas
  • Chenyu You

James S. Duncan has published extensively in select venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis
  • Lecture Notes in Computer Science
  • Circulation

In terms of recognition, they have been awarded the following distinctions:

  • IEEE Fellow (2001), for contributions to medical image analysis and computer vision
  • Fellow of the Indian National Academy of Engineering (INAE) (2000)

Best Publications

  • Medical image analysis: progress over two decades and the challenges ahead

    J.S. Duncan;N. Ayache

  • A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

    S. Kevin Zhou;Hayit Greenspan;Christos Davatzikos;James S. Duncan

  • Boundary finding with parametrically deformable models

    L.H. Staib;J.S. Duncan

  • Objective comparison of particle tracking methods

    Nicolas Chenouard;Ihor Smal;Fabrice de Chaumont;Martin Maška;Martin Maška

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

    James S. Duncan;Guido Gerig

  • BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

    Xiaoxiao Li;Xiaoxiao Li;Yuan Zhou;Nicha Dvornek;Muhan Zhang

  • Deformable boundary finding in medical images by integrating gradient and region information

    A. Chakraborty;L.H. Staib;J.S. Duncan

  • Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results

    Xiaoxiao Li;Yufeng Gu;Nicha C. Dvornek;Lawrence H. Staib

  • Segmentation and measurement of the cortex from 3-D MR images using coupled-surfaces propagation

    Xiaolan Zeng;L.H. Staib;R.T. Schultz;J.S. Duncan

  • Medical Image Databases: A Content-based Retrieval Approach

    Hemant D. Tagare;C. Carl Jaffe;James S. Duncan

  • Positron emission tomography measurement of cerebral metabolic correlates of tryptophan depletion-induced depressive relapse

    J. D. Bremner;R. B. Innis;R. M. Salomon;L. H. Staib

  • Model-based deformable surface finding for medical images

    L.H. Staib;J.S. Duncan

  • Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.

    Charlie A Hamm;Charlie A Hamm;Clinton J Wang;Lynn J Savic;Lynn J Savic;Marc Ferrante

  • AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

    Juntang Zhuang;Tommy Tang;Yifan Ding;Sekhar C. Tatikonda

  • Estimation of 3-D left ventricular deformation from medical images using biomechanical models

    X. Papademetris;A.J. Sinusas;D.P. Dione;R.T. Constable

  • SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation.

    Chenyu You;Yuan Zhou;Ruihan Zhao;Lawrence H. Staib

  • Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks.

    Nicha C. Dvornek;Pamela Ventola;Kevin A. Pelphrey;James S. Duncan

  • Estimation of 3D left ventricular deformation from echocardiography

    Xenophon Papademetris;Albert J. Sinusas;Donald P. Dione;James S. Duncan

  • A robust point-matching algorithm for autoradiograph alignment

    Anand Rangarajan;Haili Chui;Eric Mjolsness;Suguna Pappu

  • Model-driven brain shift compensation.

    Oskar M. Skrinjar;Arya Nabavi;James S. Duncan

  • Segmentation and Measurement of the Cortex from 3D MR Images

    Xiaolan Zeng;Lawrence H. Staib;Robert T. Schultz;James S. Duncan

  • BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

    Xiaoxiao Li;Yuan Zhou;Siyuan Gao;Nicha Dvornek

  • Medical image analysis

    Baba C. Vemuri;James S. Duncan

Frequent Co-Authors

Matthew O'Donnell
Matthew O'Donnell University of Washington
Robert T. Schultz
Robert T. Schultz Children's Hospital of Philadelphia
R. Todd Constable
R. Todd Constable Yale University
Anand Rangarajan
Anand Rangarajan University of Florida
Dennis D. Spencer
Dennis D. Spencer Yale University
Derek Toomre
Derek Toomre Yale University
David A. Jaffray
David A. Jaffray The University of Texas MD Anderson Cancer Center
Pietro De Camilli
Pietro De Camilli Yale University
Kevin A. Pelphrey
Kevin A. Pelphrey University of Virginia
Arye Nehorai
Arye Nehorai Washington University in St. Louis

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