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Boudewijn P. F. Lelieveldt

Boudewijn P. F. Lelieveldt

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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
15781
World Ranking
4475
National Ranking
62

Boudewijn P. F. Lelieveldt publications per year

1997: 1 publications 1998: 3 publications 1999: 3 publications 2000: 6 publications 2001: 12 publications 2002: 6 publications 2003: 15 publications 2004: 11 publications 2005: 15 publications 2006: 7 publications 2007: 9 publications 2008: 7 publications 2009: 7 publications 2010: 11 publications 2011: 14 publications 2012: 10 publications 2013: 15 publications 2014: 12 publications 2015: 21 publications 2016: 21 publications 2017: 22 publications 2018: 21 publications 2019: 23 publications 2020: 20 publications 2021: 16 publications 2022: 12 publications 2023: 11 publications 2024: 2 publications 2025: 7 publications
1997 2025

340 publications in total across all disciplines

Boudewijn P. F. Lelieveldt publication distribution in Computer Science in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2027. The highlighted bar marks where Boudewijn P. F. Lelieveldt 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: 276 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Boudewijn P. F. Lelieveldt D-index placement in Computer Science in 2027

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2027. The highlighted bar marks where Boudewijn P. F. Lelieveldt 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: 54 D-Index — 69th percentile

69% 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

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Boudewijn P. F. Lelieveldt is affiliated with Leiden University Medical Center in the Netherlands. Their research primarily focuses on areas within Biochemistry, Genetics, and Molecular Biology, encompassing 71 publications in this field. Within these, key subfields include Molecular Biology, Neurology, Biophysics, Radiology, Nuclear Medicine and Imaging, and Immunology.

Their main topics of work cover:

  • Single-cell and spatial transcriptomics
  • Cell Image Analysis Techniques
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Gene expression and cancer classification
  • RNA Research and Splicing
  • Gene Regulatory Network Analysis
  • Neurogenesis and neuroplasticity mechanisms

Lelieveldt has co-authored frequently with several researchers, including Thomas Höllt, Tamim Abdelaal, Jeroen Eggermont, Ahmed Mahfouz, and Marcel Reinders. Their work appears in various publication venues, with the most frequent being bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Nature Neuroscience, and Nature.

Among their recent published papers are:

  • "Eleven grand challenges in single-cell data science," published in 2020 in Genome Biology
  • "Comparative cellular analysis of motor cortex in human, marmoset and mouse," published in 2021 in Nature
  • "Comparative transcriptomics reveals human-specific cortical features," published in 2023 in Science
  • "Iron loading is a prominent feature of activated microglia in Alzheimer's disease patients," published in 2021 in Acta Neuropathologica Communications
  • "A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing," published in 2021 in Genome Research

Best Publications

  • Conserved cell types with divergent features in human versus mouse cortex.

    Rebecca D. Hodge;Trygve E. Bakken;Jeremy A. Miller;Kimberly A. Smith

  • Eleven grand challenges in single-cell data science

    David Lähnemann;David Lähnemann;Johannes Köster;Johannes Köster;Ewa Szczurek;Davis J. McCarthy;Davis J. McCarthy

  • Comparative cellular analysis of motor cortex in human, marmoset and mouse

    Trygve E. Bakken;Nikolas L. Jorstad;Qiwen Hu;Blue B. Lake

  • Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease.

    Denis P Shamonin;Esther E Bron;Boudewijn P.F. Lelieveldt;Marion Smits

  • An objective comparison of cell-tracking algorithms

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

  • A new cluster validity index for the fuzzy c-mean

    M. Ramze Rezaee;B. B.F. Lelieveldt;J. H.C. Reiber

  • 3-D active appearance models: segmentation of cardiac MR and ultrasound images

    S.C. Mitchell;J.G. Bosch;B.P.F. Lelieveldt;R.J. van der Geest

  • Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images

    S.C. Mitchell;B.P.F. Lelieveldt;R.J. van der Geest;H.G. Bosch

  • Automatic segmentation of echocardiographic sequences by active appearance motion models

    J.G. Bosch;S.C. Mitchell;B.P.F. Lelieveldt;F. Nijland

  • Nonrigid image registration using multi-scale 3D convolutional neural networks

    Hessam Sokooti;Bob D. de Vos;Floris F. Berendsen;Boudewijn P. F. Lelieveldt;Boudewijn P. F. Lelieveldt

  • Approximated and User Steerable tSNE for Progressive Visual Analytics

    Nicola Pezzotti;Boudewijn P. F. Lelieveldt;Laurens van der Maaten;Thomas Hollt

  • SPASM: A 3D-ASM for segmentation of sparse and arbitrarily oriented cardiac MRI data

    Hans C. van Assen;Mikhail G. Danilouchkine;Alejandro F. Frangi;Sebastián Ordás

  • Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types

    Vincent van Unen;Thomas Höllt;Thomas Höllt;Nicola Pezzotti;Na Li

  • A community-based transcriptomics classification and nomenclature of neocortical cell types

    Rafael Yuste;Michael Hawrylycz;Nadia Aalling;Argel Aguilar-Valles

  • 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

  • Morphological maturation of the mouse brain: An in vivo MRI and histology investigation

    Luam Hammelrath;Siniša Škokić;Siniša Škokić;Artem Khmelinskii;Andreas Hess

  • DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks

    Nicola Pezzotti;Thomas Hollt;Jan Van Gemert;Boudewijn P.F. Lelieveldt

  • A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering

    Unknown

  • Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data

    Walid M. Abdelmoula;Benjamin Balluff;Sonja Englert;Jouke Dijkstra

  • Vortex flow during early and late left ventricular filling in normal subjects: quantitative characterization using retrospectively-gated 4D flow cardiovascular magnetic resonance and three-dimensional vortex core analysis

    Mohammed S M Elbaz;Emmeline E Calkoen;Jos J M Westenberg;Boudewijn P F Lelieveldt;Boudewijn P F Lelieveldt

  • Automatic segmentation and plaque characterization in atherosclerotic carotid artery MR images

    I. M. Adame;R. J. van der Geest;B. A. Wasserman;M. A. Mohamed

  • Hierarchical stochastic neighbor embedding

    N. Pezzotti;T. Höllt;B. Lelieveldt;E. Eisemann

  • Brain maturation of the adolescent rat cortex and striatum: Changes in volume and myelination

    Luam Mengler;Artem Khmelinskii;Michael Diedenhofen;Chrystelle Po

  • A community-based transcriptomics classification and nomenclature of neocortical cell types.

    Rafael Yuste;Michael Hawrylycz;Nadia Aalling;Detlev Arendt

Frequent Co-Authors

Johan H. C. Reiber
Johan H. C. Reiber Leiden University Medical Center
Rob J. van der Geest
Rob J. van der Geest Leiden University Medical Center
Marius Staring
Marius Staring Leiden University Medical Center
Milan Sonka
Milan Sonka University of Iowa
Wiro J. Niessen
Wiro J. Niessen University Medical Center Groningen
Anna Vilanova
Anna Vilanova Eindhoven University of Technology
Clemens W.G.M. Löwik
Clemens W.G.M. Löwik Erasmus University Rotterdam
Frits Koning
Frits Koning Leiden University Medical Center
Alejandro F. Frangi
Alejandro F. Frangi University of Manchester
Elmar Eisemann
Elmar Eisemann Delft University of Technology

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