World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
22130
World Ranking
2058
National Ranking
22

Jan Sijbers 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 Jan Sijbers 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: 435 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Jan Sijbers 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 Jan Sijbers 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: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Jan Sijbers is affiliated with the University of Antwerp in Belgium. Their research is primarily situated within the fields of Medicine and Engineering, with a considerable focus on Radiology, Nuclear Medicine and Imaging, as well as Biomedical Engineering.

Their work spans several specialized subfields, including Radiation, Computer Vision and Pattern Recognition, and Surgery. The main themes of their research cover a range of advanced medical imaging techniques, with particular concentration on Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, and Advanced MRI Techniques and Applications.

Specific topics they have explored include Advanced X-ray Imaging Techniques, Advanced Neuroimaging Techniques and Applications, MRI in cancer diagnosis, and Medical Image Segmentation Techniques.

Jan Sijbers has contributed to multiple recent papers, which include:

  • Harmonization of Brain Diffusion MRI: Concepts and Methods (2020), published in Frontiers in Neuroscience
  • Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning (2020), published in Food Control
  • Macro- and microstructural changes in cosmonauts' brains after long-duration spaceflight (2020), published in Science Advances
  • The effect of prolonged spaceflight on cerebrospinal fluid and perivascular spaces of astronauts and cosmonauts (2022), published in Proceedings of the National Academy of Sciences
  • FleXCT: a flexible X-ray CT scanner with 10 degrees of freedom (2020), published in Optics Express

Frequent co-authors collaborating with Jan Sijbers include:

  • Jan De Beenhouwer
  • Ben Jeurissen
  • Arnold J. den Dekker
  • Jonathan Sanctorum
  • Jens Renders

Their research has been disseminated across several prominent publication venues, including:

  • e-Journal of Nondestructive Testing
  • Optics Express
  • Zenodo (CERN European Organization for Nuclear Research)
  • Frontiers in Neuroscience
  • Nondestructive Testing And Evaluation

Best Publications

  • Denoising of diffusion MRI using random matrix theory

    Jelle Veraart;Dmitry S. Novikov;Daan Christiaens;Benjamin Ades-aron

  • Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data

    Ben Jeurissen;Jacques-Donald Tournier;Thijs Dhollander;Alan Connelly

  • Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging.

    Ben Jeurissen;Alexander Leemans;Jacques Donald Tournier;Derek Kenton Jones

  • ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data

    A. Leemans;B. Jeurissen;J. Sijbers;D. K. Jones

  • Fast and flexible X-ray tomography using the ASTRA toolbox.

    Wim van Aarle;Willem Jan Palenstijn;Jeroen Cant;Eline Janssens

  • The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography.

    Wim van Aarle;Willem Jan Palenstijn;Willem Jan Palenstijn;Jan De Beenhouwer;Thomas Altantzis

  • Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls

    Jelle Veraart;Jan Sijbers;Stefan Sunaert;Alexander Leemans

  • Maximum-likelihood estimation of Rician distribution parameters

    J. Sijbers;A.J. den Dekker;P. Scheunders;D. Van Dyck

  • Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution

    Ben Jeurissen;Alexander Leemans;Alexander Leemans;Derek Kenton Jones;Jacques-Donald Tournier

  • Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)

    W.J. Palenstijn;K.J. Batenburg;J. Sijbers

  • DART: A Practical Reconstruction Algorithm for Discrete Tomography

    K. J. Batenburg;J. Sijbers

  • Estimation of the Noise in Magnitude MR Images

    J. Sijbers;A.J. den Dekker;J. Van Audekerke;M. Verhoye

  • Maximum Likelihood Estimation of Signal Amplitude and Noise Variance From MR Data

    J. Sijbers;A.J. den Dekker

  • 3D imaging of nanomaterials by discrete tomography.

    K.J. Batenburg;S. Bals;J. Sijbers;C. Kübel

  • Reduction of ring artefacts in high resolution micro-CT reconstructions

    Jan Sijbers;Andrei Postnov

  • Extraction of Airways From CT (EXACT'09)

    Pechin Lo;Bram van Ginneken;Joseph M. Reinhardt;Tarunashree Yavarna

  • More accurate estimation of diffusion tensor parameters using diffusion Kurtosis imaging.

    Jelle Veraart;Dirk H. J. Poot;Dirk H. J. Poot;Wim Van Hecke;Wim Van Hecke;Ines Blockx

  • Optimal Experimental Design for Diffusion Kurtosis Imaging

    D.H.J. Poot;A.J. den Dekker;E. Achten;M. Verhoye

  • StatSTEM: An efficient approach for accurate and precise model-based quantification of atomic resolution electron microscopy images.

    A. De Backer;K.H.W. van den Bos;W. Van den Broek;J. Sijbers

  • Watershed-based segmentation of 3D MR data for volume quantization

    J. Sijbers;P. Scheunders;M. Verhoye;A. Van der Linden

Frequent Co-Authors

Marleen Verhoye
Marleen Verhoye University of Antwerp
Kees Joost Batenburg
Kees Joost Batenburg Leiden University
Paul M. Parizel
Paul M. Parizel University of Western Australia
Annemie Van der Linden
Annemie Van der Linden University of Antwerp
Paul Scheunders
Paul Scheunders University of Antwerp
Steven Laureys
Steven Laureys University of Liège
Sara Bals
Sara Bals University of Antwerp
Bart Nicolai
Bart Nicolai KU Leuven

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