World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8967
World Ranking
7160
National Ranking
3136

Gordon Kindlmann 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 Gordon Kindlmann 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: 93 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Gordon Kindlmann 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 Gordon Kindlmann 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Gordon Kindlmann is affiliated with the University of Chicago in the United States and has contributed to research primarily in the fields of Medicine and Computer Science. Their body of work spans diverse subfields including Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, as well as Hardware and Architecture.

The researcher's work covers topical areas such as Aortic aneurysm repair treatments, Cardiovascular Health and Disease Prevention, Aortic Disease and Treatment Approaches, Advanced Neuroimaging Techniques and Applications, Fetal and Pediatric Neurological Disorders, MRI in cancer diagnosis, and 3D Shape Modeling and Analysis.

Recent scholarly contributions include the following papers:

  • SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization, 2020, JCO Clinical Cancer Informatics
  • The geometric evolution of aortic dissections: Predicting surgical success using fluctuations in integrated Gaussian curvature, 2024, PLoS Computational Biology
  • The Geometric Evolution of Aortic Dissections: Predicting Surgical Success using Fluctuations in Integrated Gaussian Curvature, 2022, bioRxiv (Cold Spring Harbor Laboratory)
  • Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits, 2023, arXiv (Cornell University)
  • Comparing and Combining Approximate Computing Frameworks, 2021, arXiv (Cornell University)

Frequent collaborators in their research include Kameel Khabaz, Seth Sankary, Cheong Lee, Ross Milner, and Luka Pocivavsek. Kindlmann's research appears regularly in venues such as arXiv (Cornell University), JCO Clinical Cancer Informatics, PLoS Computational Biology, bioRxiv (Cold Spring Harbor Laboratory), and the Journal of the American College of Surgeons.

Their interdisciplinary work integrates advanced imaging technologies and computational methods, particularly focusing on applications in cardiovascular medicine and neuroimaging. Kindlmann has engaged in developing tools like diffusion MRI software pertinent to brain cancer surgery planning as well as modeling approaches related to aortic dissection surgical outcomes.

Best Publications

  • Semi-automatic generation of transfer functions for direct volume rendering

    Gordon Kindlmann;James W. Durkin

  • Multidimensional transfer functions for interactive volume rendering

    J. Kniss;G. Kindlmann;C. Hansen

  • DTI measures in crossing-fibre areas: increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease.

    Gwenaëlle Douaud;Saâd Jbabdi;Timothy Edward John Behrens;Ricarda A. Menke

  • Curvature-based transfer functions for direct volume rendering: methods and applications

    G. Kindlmann;R. Whitaker;T. Tasdizen;T. Moller

  • Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets

    Joe Kniss;Gordon Kindlmann;Charles Hansen

  • The transfer function bake-off

    H. Pfister;B. Lorensen;C. Bajaj;G. Kindlmann

  • Tensorlines: advection-diffusion based propagation through diffusion tensor fields

    David Weinstein;Gordon Kindlmann;Eric Lundberg

  • Superquadric tensor glyphs

    Gordon Kindlmann

  • Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images

    Daniel B. Ennis;Gordon Kindlmann

  • A geometric analysis of diffusion tensor measurements of the human brain.

    Andrew L. Alexander;Khader Hasan;Gordon Kindlmann;Dennis L. Parker

  • Semi-Automatic Generation of Transfer Functions for Direct Volume Rendering

    James W. Durkin;Gordon Kindlmann

  • Strategies for direct volume rendering of diffusion tensor fields

    G. Kindlmann;D. Weinstein;D. Hart

  • Diffusion Tensor Visualization with Glyph Packing

    G. Kindlmann;Westin

  • An Algebraic Process for Visualization Design

    Gordon L. Kindlmann;Carlos Eduardo Scheidegger

  • Interactive simulation and visualization

    C. Johnson;S.G. Parker;C. Hansen;G.L. Kindlmann

  • Interactive Diffusion Tensor Tractography Visualization for Neurosurgical Planning

    Alexandra Jacqueline Golby;Gordon Kindlmann;Isaiah Hakim Norton;Alexander Yarmarkovich

  • Resolving crossings in the corticospinal tract by two-tensor streamline tractography: Method and clinical assessment using fMRI.

    Arish A. Qazi;Alireza Radmanesh;Lauren O'Donnell;Gordon Kindlmann

  • Superquadric Glyphs for Symmetric Second-Order Tensors

    Thomas Schultz;Gordon L Kindlmann

  • SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research.

    Isaiah Norton;Walid Ibn Essayed;Fan Zhang;Sonia Pujol

  • An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications.

    Anna Vilanova;Song Zhang;Gordon L. Kindlmann;David H. Laidlaw

  • Hue-balls and lit-tensors for direct volume rendering of diffusion tensor fields

    Gordon Kindlmann;David Weinstein

Frequent Co-Authors

Carl-Fredrik Westin
Carl-Fredrik Westin Brigham and Women's Hospital
Charles Hansen
Charles Hansen University of Utah
Anna Vilanova
Anna Vilanova Eindhoven University of Technology
Chris R. Johnson
Chris R. Johnson University of Utah
George R. Washko
George R. Washko Brigham and Women's Hospital
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Stephen M. Smith
Stephen M. Smith University of Oxford
David H. Laidlaw
David H. Laidlaw Brown University
Alexandra J. Golby
Alexandra J. Golby Brigham and Women's Hospital
Martha E. Shenton
Martha E. Shenton Harvard University

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