World's Best Scientists 2026 revealed!
Theo van Walsum

Theo van Walsum

D-Index & Metrics

Computer Science

D-Index
42
Citations
6519
World Ranking
8477
National Ranking
142

Theo van Walsum 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 Theo van Walsum 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: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Theo van Walsum 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 Theo van Walsum 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Theo van Walsum is affiliated with Erasmus MC in the Netherlands and is active in research primarily within the field of Medicine. Their work spans several subfields including Radiology, Nuclear Medicine and Imaging, Epidemiology, Pulmonary and Respiratory Medicine, Surgery, and Biomedical Engineering.

Their research covers various specialized topics, reflecting a focus on imaging and clinical management, particularly in vascular and neurological contexts. Key areas of study include:

  • Acute Ischemic Stroke Management
  • Cerebrovascular and Carotid Artery Diseases
  • Retinal Imaging and Analysis
  • Surgical Simulation and Training
  • Glaucoma and retinal disorders
  • Retinal Diseases and Treatments
  • Augmented Reality Applications

Theo van Walsum's publication record includes contributions to numerous journals, with frequent appearances in:

  • International Journal of Computer Assisted Radiology and Surgery (9 publications)
  • arXiv (Cornell University) (8 publications)
  • Medical Image Analysis (7 publications)
  • Medical Physics (5 publications)
  • Neuroradiology (4 publications)

Recent papers reflecting their work are:

  • "Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering," 2020, Medical Image Analysis
  • "Automatic Collateral Scoring From 3D CTA Images," 2020, IEEE Transactions on Medical Imaging
  • "autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients," 2021, IEEE Transactions on Medical Imaging
  • "Adaptive optics ophthalmoscopy: a systematic review of vascular biomarkers," 2021, Survey of Ophthalmology
  • "Microvascular damage assessed by optical coherence tomography angiography for glaucoma diagnosis: a systematic review of the most discriminative regions," 2020, Acta Ophthalmologica

Theo van Walsum has collaborated extensively with a number of frequent co-authors, such as:

  • Ruisheng Su (27 joint publications)
  • Wim H. van Zwam (26 joint publications)
  • Aad van der Lugt (22 joint publications)
  • Sandra Cornelissen (20 joint publications)
  • Matthijs van der Sluijs (17 joint publications)

Best Publications

  • Model-based quantitation of 3-D magnetic resonance angiographic images

    A.F. Frangi;W.J. Niessen;R.M. Hoogeveen;T. van Walsum

  • Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms

    Michiel Schaap;Coert T. Metz;Theo van Walsum;Alina G. van der Giessen

  • Standardized evaluation methodology for 2-D-3-D registration

    E.B. van de Kraats;G.P. Penney;D. Tomazevic;T. van Walsum

  • Nonrigid registration of dynamic medical imaging data using nD + t B-splines and a groupwise optimization approach.

    C.T. Metz;S. Klein;M. Schaap;T. van Walsum

  • Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography.

    Hortense Kirişli;M. Schaap;C. T. Metz;A. S. Dharampal

  • 2D–3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models

    N. Baka;B.L. Kaptein;M. de Bruijne;M. de Bruijne;T. van Walsum

  • Iconic techniques for feature visualization

    Frits H. Post;Frank J. Post;Theo Van Walsum;Deborah Silver

  • Fluid Flow Visualization

    Frits H. Post;Theo van Walsum

  • Tissue segmentation of head and neck CT images for treatment planning: a multiatlas approach combined with intensity modeling.

    Valerio Fortunati;René F. Verhaart;Fedde van der Lijn;Wiro J. Niessen

  • Evaluation of a multi-atlas based method for segmentation of cardiac CTA data: a large-scale, multicenter, and multivendor study

    H. A. Kirişli;M. Schaap;S. Klein;S. L. Papadopoulou

  • Coronary centerline extraction from CT coronary angiography images using a minimum cost path approach

    C. T. Metz;M. Schaap;A. C. Weustink;N. R. Mollet

  • Feature extraction and iconic visualization

    T. Van Walsum;F.H. Post;D. Silver;F.J. Post

  • Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading.

    K. Hameeteman;M. A. Zuluaga;M. A. Zuluaga;M. Freiman;L. Joskowicz

  • An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework

    Jelmer M. Wolterink;Tim Leiner;Bob D. De Vos;Jean Louis Coatrieux

  • Automatic segmentation, detection and quantification of coronary artery stenoses on CTA

    Rahil Shahzad;Hortense Kirişli;Coert Metz;Hui Tang;Hui Tang

  • Oriented Gaussian Mixture Models for Nonrigid 2D/3D Coronary Artery Registration

    N. Baka;C. T. Metz;C. J. Schultz;R.-J van Geuns

  • Vessel Specific Coronary Artery Calcium Scoring. An Automatic System

    Rahil Shahzad;Rahil Shahzad;Theo van Walsum;Michiel Schaap;Alexia Rossi

  • Fully automatic cardiac segmentation from 3D CTA data: a multi-atlas based approach

    Hortense A. Kirisli;Michiel Schaap;Stefan Klein;Lisan A. Neefjes

  • Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy

    Pierre Ambrosini;Daniel Ruijters;Wiro J. Niessen;Adriaan Moelker

  • Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression

    Michiel Schaap;Lisan Neefjes;Coert Metz;Alina Giessen

  • Reproducibility, Accuracy, and Predictors of Accuracy for the Detection of Coronary Atherosclerotic Plaque Composition by Computed Tomography: An Ex Vivo Comparison to Intravascular Ultrasound

    Alina G. van der Giessen;Michael H. Toepker;Patrick M. Donelly;Fabian Bamberg

Frequent Co-Authors

Wiro J. Niessen
Wiro J. Niessen University Medical Center Groningen
Stefan Klein
Stefan Klein Erasmus University Rotterdam
Aad van der Lugt
Aad van der Lugt Erasmus University Rotterdam
Lucas J. van Vliet
Lucas J. van Vliet Delft University of Technology
Antonius F.W. van der Steen
Antonius F.W. van der Steen Erasmus University Rotterdam
Evelyn Regar
Evelyn Regar University of Zurich
Josien P. W. Pluim
Josien P. W. Pluim Eindhoven University of Technology
Oscar H. Franco
Oscar H. Franco University Medical Center Utrecht
Meike W. Vernooij
Meike W. Vernooij Erasmus University Rotterdam
Jacqueline C.M. Witteman
Jacqueline C.M. Witteman Erasmus University Rotterdam

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