World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
28870
World Ranking
4944
National Ranking
2298

Paul A. Yushkevich 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 Paul A. Yushkevich 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: 270 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Paul A. Yushkevich 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 Paul A. Yushkevich 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Paul A. Yushkevich is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the fields of Medicine and Neuroscience, with a focus on several subfields including Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental Health, Physiology, Cognitive Neuroscience, and Neurology.

The scientist's work addresses multiple main topics, such as:

  • Dementia and Cognitive Impairment Research
  • Advanced Neuroimaging Techniques and Applications
  • Alzheimer's disease research and treatments
  • Functional Brain Connectivity Studies
  • Neurological Disease Mechanisms and Treatments
  • Medical Image Segmentation Techniques
  • Advanced MRI Techniques and Applications

Paul A. Yushkevich has contributed extensively to various publication venues, most frequently appearing in:

  • Alzheimer s & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Human Brain Mapping
  • Neurology

Among their recent papers are:

  • Early stages of tau pathology and its associations with functional connectivity, atrophy and memory, 2021, Brain
  • ANHIR: Automatic Non-Rigid Histological Image Registration Challenge, 2020, IEEE Transactions on Medical Imaging
  • Hippocampal subfield volumetry from structural isotropic 1 mm3MRI scans: A note of caution, 2020, Human Brain Mapping
  • Contribution of mixed pathology to medial temporal lobe atrophy in Alzheimer's disease, 2020, Alzheimer s & Dementia
  • The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview, 2020, Lecture notes in computer science

Collaborations have been a significant aspect of their career, with frequent coauthors including:

  • Sandhitsu R. Das
  • David A. Wolk
  • Laura E.M. Wisse
  • Long Xie
  • David J. Irwin

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

  • N4ITK: Improved N3 Bias Correction

    Nicholas J Tustison;Brian B Avants;Philip A Cook;Yuanjie Zheng

  • Multi-Atlas Segmentation with Joint Label Fusion

    Hongzhi Wang;J. W. Suh;S. R. Das;J. B. Pluta

  • The optimal template effect in hippocampus studies of diseased populations

    Brian B. Avants;Paul A. Yushkevich;John Pluta;David Minkoff

  • Automated Volumetry and Regional Thickness Analysis of Hippocampal Subfields and Medial Temporal Cortical Structures in Mild Cognitive Impairment

    Paul A. Yushkevich;John B. Pluta;Hongzhi Wang;Long Xie

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

    Paul A. Yushkevich;Yang Gao;Guido Gerig

  • Deformable registration of diffusion tensor MR images with explicit orientation optimization.

    Hui Zhang;Paul A Yushkevich;Daniel C Alexander;James C Gee

  • Deformable M-Reps for 3D Medical Image Segmentation

    Stephen M. Pizer;P. Thomas Fletcher;Sarang Joshi;Andrew Thall

  • Segmentation, registration, and measurement of shape variation via image object shape

    S.M. Pizer;D.S. Fritsch;P.A. Yushkevich;V.E. Johnson

  • Quantitative Comparison of 21 Protocols for Labeling Hippocampal Subfields and Parahippocampal Subregions in In Vivo MRI: Towards a Harmonized Segmentation Protocol

    Paul A. Yushkevich;Robert S C Amaral;Jean C. Augustinack;Andrew R. Bender

  • High-Dimensional Spatial Normalization of Diffusion Tensor Images Improves the Detection of White Matter Differences: An Example Study Using Amyotrophic Lateral Sclerosis

    Hui Zhang;B.B. Avants;P.A. Yushkevich;J.H. Woo

  • Nearly Automatic Segmentation of Hippocampal Subfields in In Vivo Focal T2-Weighted MRI

    Paul A. Yushkevich;Hongzhi Wang;John Pluta;Sandhitsu R. Das

  • Multi-atlas segmentation with joint label fusion and corrective learning—an open source implementation

    Hongzhi Wang;Paul A. Yushkevich

  • A learning-based wrapper method to correct systematic errors in automatic image segmentation: consistently improved performance in hippocampus, cortex and brain segmentation.

    Hongzhi Wang;Sandhitsu R. Das;Jung Wook Suh;Murat Altinay

  • Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

    Christos Davatzikos;Saima Rathore;Spyridon Bakas;Sarthak Pati

  • Structure-specific statistical mapping of white matter tracts.

    Paul A. Yushkevich;Hui Zhang;Tony J. Simon;James C. Gee

  • Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology.

    Daniel H Adler;Laura E M Wisse;Ranjit Ittyerah;John B Pluta

  • A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T.

    Paul A. Yushkevich;Brian B. Avants;John Pluta;Sandhitsu R. Das

  • Multiscale deformable model segmentation and statistical shape analysis using medial descriptions

    S. Joshi;S. Pizer;P.T. Fletcher;P. Yushkevich

  • User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP

    Paul A. Yushkevich;Artem Pashchinskiy;Ipek Oguz;Suyash Mohan

  • Continuous Medial Representation for Anatomical Structures

    P.A. Yushkevich;Hui Zhang;J.C. Gee

  • Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI

    Daniel H. Adler;John Pluta;Salmon Kadivar;Caryne Craige

  • Deformable registration of diffusion tensor MR images with explicit orientation optimization

    Hui Zhang;Paul A. Yushkevich;James C. Gee

Frequent Co-Authors

James C. Gee
James C. Gee University of Pennsylvania
David A. Wolk
David A. Wolk University of Pennsylvania
Robert C. Gorman
Robert C. Gorman University of Pennsylvania
Brian B. Avants
Brian B. Avants University of Virginia
Joseph H. Gorman
Joseph H. Gorman University of Pennsylvania
Murray Grossman
Murray Grossman University of Pennsylvania
John A. Detre
John A. Detre University of Pennsylvania
Susanne G. Mueller
Susanne G. Mueller University of California, San Francisco
Songlin Ding
Songlin Ding RMIT University
Corey T. McMillan
Corey T. McMillan University of Pennsylvania

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