World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
12648
World Ranking
9507
National Ranking
92

Wim F. Vranken 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 Wim F. Vranken 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Wim F. Vranken 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 Wim F. Vranken 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Wim F. Vranken is a researcher affiliated with the Vrije Universiteit Brussel in Belgium. Their work primarily focuses on the field of Biochemistry, Genetics and Molecular Biology, contributing extensively to the understanding of molecular processes within these domains.

Their research spans several subfields including Molecular Biology, Spectroscopy, Materials Chemistry, Genetics, and Computational Theory and Mathematics. This multidisciplinary approach enables comprehensive investigations into biomolecular structures and mechanisms.

Wim F. Vranken's body of work covers key topics such as:

  • Protein Structure and Dynamics
  • RNA and protein synthesis mechanisms
  • Enzyme Structure and Function
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • RNA Research and Splicing
  • Mass Spectrometry Techniques and Applications

Their recent publications reflect active contributions to various aspects of protein and molecular biology research. Selected papers include:

  • Critical assessment of protein intrinsic disorder prediction, 2021, Nature Methods
  • MobiDB: intrinsically disordered proteins in 2021, 2020, Nucleic Acids Research
  • The ACPYPE web server for small-molecule MD topology generation, 2023, Bioinformatics
  • Megabodies expand the nanobody toolkit for protein structure determination by single-particle cryo-EM, 2021, Nature Methods
  • PDBe-KB: collaboratively defining the biological context of structural data, 2021, Nucleic Acids Research

Wim collaborates frequently with several researchers, contributing to numerous joint studies. Regular coauthors include Jose Gavaldá-García, David Bickel, Joel Roca-Martínez, Adrián Díaz, and Pathmanaban Ramasamy.

The venues where Wim F. Vranken most often publishes include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nucleic Acids Research
  • Bioinformatics
  • Journal of Molecular Biology

Best Publications

  • The CCPN data model for NMR spectroscopy: Development of a software pipeline

    Wim F. Vranken;Wayne Boucher;Tim J. Stevens;Rasmus H. Fogh

  • ACPYPE - AnteChamber PYthon Parser interfacE

    Alan W Sousa da Silva;Alan W Sousa da Silva;Wim F Vranken;Wim F Vranken

  • RECOORD: A recalculated coordinate database of 500+ proteins from the PDB using restraints from the BioMagResBank

    Aart J. Nederveen;Jurgen F. Doreleijers;Wim Vranken;Zachary Miller

  • DisProt 7.0: a major update of the database of disordered proteins.

    Damiano Piovesan;Francesco Tabaro;Francesco Tabaro;Ivan Micetic;Marco Necci

  • PDBe: Protein Data Bank in Europe

    S. Velankar;C. Best;B. Beuth;C. H. Boutselakis

  • DisProt: intrinsic protein disorder annotation in 2020.

    András Hatos;Borbála Hajdu-Soltész;Alexander M Monzon;Nicolas Palopoli

  • MobiDB: intrinsically disordered proteins in 2021.

    Damiano Piovesan;Marco Necci;Nahuel Escobedo;Alexander Miguel Monzon

  • MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins.

    Damiano Piovesan;Francesco Tabaro;Lisanna Paladin;Marco Necci;Marco Necci

  • WeNMR: Structural Biology on the Grid

    Tsjerk A. Wassenaar;Marc Dijk;Nuno Loureiro-Ferreira;Gijs Schot

  • DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins.

    Daniele Raimondi;Daniele Raimondi;Ibrahim Tanyalcin;Julien Ferté;Andrea M. Gazzo

  • From protein sequence to dynamics and disorder with DynaMine

    Elisa Cilia;Rita Pancsa;Peter Tompa;Tom Lenaerts;Tom Lenaerts

  • Recommendations of the wwPDB NMR Validation Task Force.

    Gaetano T. Montelione;Michael Nilges;Michael Nilges;Ad Bax;Peter Güntert

  • The DynaMine webserver: predicting protein dynamics from sequence

    Elisa Cilia;Rita Pancsa;Peter Tompa;Tom Lenaerts

  • Remediation of the protein data bank archive

    Kim Henrick;Zukang Feng;Wolfgang Bluhm;Dimitris Dimitropoulos

  • E-MSD: the European Bioinformatics Institute Macromolecular Structure Database.

    Harry Boutselakis;Dimitris Dimitropoulos;Joël Fillon;Adel Golovin

  • E-MSD: an integrated data resource for bioinformatics

    Adel Golovin;Thomas J. Oldfield;John G. Tate;Samir S. Velankar

  • The CCPN project: an interim report on a data model for the NMR community.

    Rasmus Fogh;John Ionides;Eldon Ulrich;Wayne Boucher

  • CING: an integrated residue-based structure validation program suite

    Jurgen F. Doreleijers;Alan W. Sousa da Silva;Elmar Krieger;Sander B. Nabuurs

  • EUROCarbDB: An open-access platform for glycoinformatics

    Claus Wilhelm Von Der Lieth;Ana Ardá Freire;Dennis Blank;Matthew P. Campbell;Matthew P. Campbell

  • PDBe-KB: a community-driven resource for structural and functional annotations

    Mihaly Varadi;John Berrisford;Mandar Deshpande;Sreenath S. Nair

  • Corrigendum: DisProt 7.0: a major update of the database of disordered proteins.

    Damiano Piovesan;Francesco Tabaro;Ivan Mičetić;Marco Necci

  • DynaMine: From protein sequence to dynamics and disorder

    Elisa Cilia;Rita Pancsa;Peter Tompa;Tom Lenaerts

Frequent Co-Authors

Peter Tompa
Peter Tompa Vrije Universiteit Brussel
Geerten W. Vuister
Geerten W. Vuister University of Leicester
Peter Güntert
Peter Güntert ETH Zurich
John L. Markley
John L. Markley University of Wisconsin–Madison
Alexandre M. J. J. Bonvin
Alexandre M. J. J. Bonvin Utrecht University
Michael Nilges
Michael Nilges Université Paris Cité
Silvio C. E. Tosatto
Silvio C. E. Tosatto University of Padua
Michele Vendruscolo
Michele Vendruscolo University of Cambridge
Ernest D. Laue
Ernest D. Laue University of Cambridge
Gaetano T. Montelione
Gaetano T. Montelione Rensselaer Polytechnic Institute

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