World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
14524
World Ranking
7768
National Ranking
247

Erik Meijering 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 Erik Meijering 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: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Erik Meijering 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 Erik Meijering 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to computational methods for biological image analysis

Overview

Erik Meijering is affiliated with the University of New South Wales in Australia and has an extensive record of research primarily in computer science and medicine, with significant contributions to biochemistry, genetics, and molecular biology. Their work spans key subfields such as computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, biophysics, and molecular biology.

Their research topics include:

  • Cell Image Analysis Techniques
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Digital Imaging for Blood Diseases
  • Advanced Neural Network Applications
  • Image Processing Techniques and Applications
  • Medical Image Segmentation Techniques

Meijering's publication record includes papers in several prominent scientific venues. Frequent publication venues are:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • Scientific Reports
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Methods

Selected recent papers authored or coauthored by Erik Meijering include:

  • "Metrics reloaded: recommendations for image analysis validation" (2024), Nature Methods
  • "The Cell Tracking Challenge: 10 years of objective benchmarking" (2023), Nature Methods
  • "Understanding metric-related pitfalls in image analysis validation" (2024), Nature Methods
  • "A bird's-eye view of deep learning in bioimage analysis" (2020), Computational and Structural Biotechnology Journal
  • "SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation" (2022), IEEE Transactions on Neural Networks and Learning Systems

Frequent collaborators include:

  • Arcot Sowmya
  • Yang Song
  • Min Liu
  • Yaonan Wang
  • Ewan K.A. Millar

In 2019, Erik Meijering was recognized as an IEEE Fellow for contributions to computational methods for biological image analysis.

Best Publications

  • Design and Validation of a Tool for Neurite Tracing and Analysis in Fluorescence Microscopy Images

    E. Meijering;M. Jacob;J.-C.F. Sarria;P. Steiner

  • Methods for cell and particle tracking.

    Erik Meijering;Oleh Dzyubachyk;Ihor Smal

  • Objective comparison of particle tracking methods

    Nicolas Chenouard;Ihor Smal;Fabrice de Chaumont;Martin Maška;Martin Maška

  • A chronology of interpolation: from ancient astronomy to modern signal and image processing

    Unknown

  • Cell Segmentation: 50 Years Down the Road [Life Sciences]

    E. Meijering

  • An objective comparison of cell-tracking algorithms

    Vladimír Ulman;Martin Maška;Klas E G Magnusson;Olaf Ronneberger

  • A benchmark for comparison of cell tracking algorithms

    Martin Maška;Vladimír Ulman;David Svoboda;Pavel Matula

  • Neuron tracing in perspective

    Erik Meijering

  • Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy

    O. Dzyubachyk;W.A. van Cappellen;J. Essers;W.J. Niessen

  • Quantitative evaluation of convolution-based methods for medical image interpolation.

    Erik H.W. Meijering;Wiro J. Niessen;Max A. Viergever

  • Tracking in cell and developmental biology.

    Erik Meijering;Oleh Dzyubachyk;Ihor Smal;Wiggert A. van Cappellen

  • Quantitative Comparison of Spot Detection Methods in Fluorescence Microscopy

    I. Smal;M. Loog;W. Niessen;E. Meijering

  • Tracking in molecular bioimaging

    E. Meijering;I. Smal;G. Danuser

  • Super-resolution methods in MRI: can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time?

    Esben Plenge;Dirk H. J. Poot;Monique Bernsen;Gyula Kotek

  • BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images

    Hanchuan Peng;Michael Hawrylycz;Jane Roskams;Sean Hill

  • Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images: Application to Microtubule Growth Analysis

    I. Smal;K. Draegestein;N. Galjart;W. Niessen

  • Imagining the future of bioimage analysis

    Erik Meijering;Anne E Carpenter;Hanchuan Peng;Fred A Hamprecht

  • Retrospective motion correction in digital subtraction angiography: a review

    E.H.W. Meijering;W.J. Niessen;M.A. Viegever

  • Image reconstruction by convolution with symmetrical piecewise nth-order polynomial kernels

    E.H.W. Meijering;K.J. Zuiderveld;M.A. Viergever

  • A note on cubic convolution interpolation

    E. Meijering;M. Unser

  • General multimodal elastic registration based on mutual information

    J. B. Antoine Maintz;Erik H.W. Meijering;Max A. Viergever

Frequent Co-Authors

Wiro J. Niessen
Wiro J. Niessen University Medical Center Groningen
Max A. Viergever
Max A. Viergever Utrecht University
Anna Akhmanova
Anna Akhmanova Utrecht University
Jeroen Essers
Jeroen Essers Erasmus University Rotterdam
Yaonan Wang
Yaonan Wang Hunan University
Ivo F. Sbalzarini
Ivo F. Sbalzarini Max Planck Institute of Molecular Cell Biology and Genetics
Boudewijn P. F. Lelieveldt
Boudewijn P. F. Lelieveldt Leiden University Medical Center
Michael Unser
Michael Unser École Polytechnique Fédérale de Lausanne
Lukas C. Kapitein
Lukas C. Kapitein Utrecht University
Niels Galjart
Niels Galjart Erasmus University Rotterdam

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