World's Best Scientists 2026 revealed!
Kees Joost Batenburg

Kees Joost Batenburg

D-Index & Metrics

Computer Science

D-Index
34
Citations
6266
World Ranking
12026
National Ranking
225

Kees Joost Batenburg 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 Kees Joost Batenburg 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: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Kees Joost Batenburg 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 Kees Joost Batenburg 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Kees Joost Batenburg is affiliated with Leiden University in the Netherlands. Their research primarily focuses on the intersection of medical imaging, advanced X-ray and CT imaging techniques, and biomedical engineering. They have contributed extensively to topics covering medical imaging techniques and applications, advanced electron microscopy techniques, and radiation dose and imaging.

Their scholarly output includes numerous publications in leading venues. Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Imaging
  • Scientific Reports
  • IEEE Transactions on Computational Imaging

Batenburg's main fields of study encompass Medicine and Engineering, with notable work in subfields such as Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Computer Vision and Pattern Recognition, and Artificial Intelligence.

Their recent papers showcase a range of imaging-related research topics. Select recent publications include:

  • "Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning," 2021, Journal of Dental Research
  • "Deep denoising for multi-dimensional synchrotron X-ray tomography without high-quality reference data," 2021, Scientific Reports
  • "Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications," 2021, Journal of Imaging
  • "Explorative Imaging and Its Implementation at the FleX-ray Laboratory," 2020, Journal of Imaging
  • "A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery," 2022, Dentomaxillofacial Radiology

Batenburg has collaborated frequently with a group of scientists, including Daniël M. Pelt, Tristan van Leeuwen, Robert van Liere, Sophia Bethany Coban, and Felix Lucka.

Their research extensively covers core topics such as:

  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Advanced X-ray Imaging Techniques
  • Radiation Dose and Imaging
  • Advanced Electron Microscopy Techniques and Applications
  • Electron and X-Ray Spectroscopy Techniques
  • Medical Imaging and Analysis

Best Publications

  • 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

  • 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

  • 3D imaging of nanomaterials by discrete tomography.

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

  • Electron tomography based on a total variation minimization reconstruction technique

    B. Goris;W. Van den Broek;K.J. Batenburg;K.J. Batenburg;H. Heidari Mezerji

  • Motion tracking-enhanced MART for tomographic PIV

    Matteo Novara;Kees Joost Batenburg;Fulvio Scarano

  • Iterative Correction of Beam Hardening Artifacts in CT

    G. Van Gompel;K. Van Slambrouck;M. Defrise;K. J. Batenburg

  • Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning.

    H. Wang;J. Minnema;K.J. Batenburg;T. Forouzanfar

  • Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data

    Daniël M. Pelt;Dogˇa Gürsoy;Willem Jan Palenstijn;Jan Sijbers

  • Improving tomographic reconstruction from limited data using Mixed-Scale Dense convolutional neural networks

    Daniël Maria Pelt;Kees Joost Batenburg;James A. Sethian

  • Fast Tomographic Reconstruction From Limited Data Using Artificial Neural Networks

    Daniel Maria Pelt;Kees Joost Batenburg

  • Advanced reconstruction algorithms for electron tomography : from comparison to combination

    B. Goris;T. Roelandts;K.J. Batenburg;K.J. Batenburg;H. Heidari Mezerji

  • Optimal Threshold Selection for Tomogram Segmentation by Projection Distance Minimization

    K.J. Batenburg;J. Sijbers

  • Dart: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography

    K.J. Batenburg;J. Sijbers

  • An evolutionary algorithm for discrete tomography

    K. J. Batenburg

  • TomoBank: a tomographic data repository for computational x-ray science

    Francesco De Carlo;Doǧa Gürsoy;Daniel J. Ching;K. Joost Batenburg

  • Adaptive thresholding of tomograms by projection distance minimization

    K. J. Batenburg;J. Sijbers

  • The ASTRA Tomography Toolbox

    Willem Jan Palenstijn;K. Joost Batenburg;Jan Sijbers

  • TVR-DART: A More Robust Algorithm for Discrete Tomography From Limited Projection Data With Automated Gray Value Estimation

    Xiaodong Zhuge;Willem Jan Palenstijn;Kees Joost Batenburg

  • Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network

    Jordi Minnema;Maureen van Eijnatten;Maureen van Eijnatten;Allard A Hendriksen;Niels Liberton

  • Automatic Parameter Estimation for the Discrete Algebraic Reconstruction Technique (DART)

    W. van Aarle;K. J. Batenburg;J. Sijbers

  • Accurate segmentation of dense nanoparticles by partially discrete electron tomography

    T. Roelandts;K.J. Batenburg;K.J. Batenburg;E. Biermans;C. Kübel

Frequent Co-Authors

Jan Sijbers
Jan Sijbers University of Antwerp
Sara Bals
Sara Bals University of Antwerp
G. Van Tendeloo
G. Van Tendeloo University of Antwerp
Pegie Cool
Pegie Cool University of Antwerp
Christian Kübel
Christian Kübel Karlsruhe Institute of Technology
Hiroshi Jinnai
Hiroshi Jinnai Tohoku University
Velimir Radmilovic
Velimir Radmilovic University of Belgrade
Rafal E. Dunin-Borkowski
Rafal E. Dunin-Borkowski Forschungszentrum Jülich
Ute Kaiser
Ute Kaiser University of Ulm
Yuichi Ikuhara
Yuichi Ikuhara University of Tokyo

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