World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
75976
World Ranking
6272
National Ranking
133

Olivier Gascuel 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 Olivier Gascuel 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: 158 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.

Olivier Gascuel 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 Olivier Gascuel 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Olivier Gascuel is affiliated with Université Paris Cité in France and has contributed extensively to the fields of biochemistry, genetics, molecular biology, and medicine. Their research portfolio encompasses a diverse range of topics related to genomics, phylogenetic studies, genetic diversity, infectious diseases, and HIV/AIDS treatment development.

The main topics of Olivier Gascuel's work include:

  • Genomics and Phylogenetic Studies
  • Genetic diversity and population structure
  • Evolution and Paleontology Studies
  • HIV Research and Treatment
  • Evolution and Genetic Dynamics
  • HIV/AIDS drug development and treatment
  • Zoonotic diseases and public health

Their prominent subfields of study are molecular biology, genetics, infectious diseases, paleontology, and virology. Olivier Gascuel's publications frequently appear in a set of recurring venues, highlighting particular outlets for their research dissemination:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Systematic Biology
  • Nature Communications
  • Zenodo (CERN European Organization for Nuclear Research)
  • NAR Genomics and Bioinformatics

Among their recent publications are:

  • "Gotree/Goalign: toolkit and Go API to facilitate the development of phylogenetic workflows," 2021, NAR Genomics and Bioinformatics
  • "Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks," 2022, Nature Communications
  • "Sampling bias and incorrect rooting make phylogenetic network tracing of SARS-COV-2 infections unreliable," 2020, Proceedings of the National Academy of Sciences
  • "Drug resistance mutations in HIV: new bioinformatics approaches and challenges," 2021, Current Opinion in Virology
  • "Deciphering RNA G-quadruplex function during the early steps of HIV-1 infection," 2022, Nucleic Acids Research

Frequent collaborators working alongside Olivier Gascuel include:

  • Anna Zhukova
  • Frédéric Lemoine
  • Jakub Voznica
  • Luc Blassel
  • Emma Saulnier

Olivier Gascuel's research bridges the domains of molecular biology and infectious diseases, with significant contributions to understanding the evolutionary dynamics of pathogens and genetic variation. Their work on HIV integrates computational and bioinformatics approaches to analyze drug resistance and viral genetics, contributing to treatment and epidemiological insights.

Best Publications

  • New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0

    Stéphane Guindon;Jean-François Dufayard;Vincent Lefort;Maria Anisimova

  • A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood.

    Stéphane Guindon;Olivier Gascuel

  • SeaView Version 4: A Multiplatform Graphical User Interface for Sequence Alignment and Phylogenetic Tree Building

    Manolo Gouy;Stéphane Guindon;Olivier Gascuel

  • Phylogeny.fr: robust phylogenetic analysis for the non-specialist

    Alexis Dereeper;Valentin Guignon;Guillaume Blanc;Stéphane Audic

  • An Improved General Amino Acid Replacement Matrix

    Si Quang Le;Olivier Gascuel

  • Approximate likelihood-ratio test for branches : A fast, accurate, and powerful alternative

    Maria Anisimova;Olivier Gascuel

  • BIONJ: an improved version of the NJ algorithm based on a simple model of sequence data.

    Olivier Gascuel

  • SMS: Smart Model Selection in PhyML.

    Vincent Lefort;Jean-Emmanuel Longueville;Olivier Gascuel;Olivier Gascuel

  • PHYML Online--a web server for fast maximum likelihood-based phylogenetic inference.

    Stéphane Guindon;Franck Lethiec;Patrice Duroux;Olivier Gascuel

  • FastME 2.0: A Comprehensive, Accurate, and Fast Distance-Based Phylogeny Inference Program

    Vincent Lefort;Richard Desper;Olivier Gascuel

  • Survey of Branch Support Methods Demonstrates Accuracy, Power, and Robustness of Fast Likelihood-based Approximation Schemes

    Maria Anisimova;Manuel Gil;Manuel Gil;Jean-François Dufayard;Christophe Dessimoz;Christophe Dessimoz

  • Estimating maximum likelihood phylogenies with PhyML.

    Stéphane Guindon;Stéphane Guindon;Frédéric Delsuc;Jean-François Dufayard;Olivier Gascuel

  • NGPhylogeny.fr: new generation phylogenetic services for non-specialists

    Frédéric Lemoine;Damien Correia;Damien Correia;Damien Correia;Vincent Lefort;Olivia Doppelt-Azeroual

  • Renewing Felsenstein’s phylogenetic bootstrap in the era of big data

    F. Lemoine;Jean-Baka Domelevo Entfellner;E. Wilkinson;D. Correia

  • Fast and accurate phylogeny reconstruction algorithms based on the minimum-evolution principle.

    Richard Desper;Olivier Gascuel

  • Fast Dating Using Least-Squares Criteria and Algorithms

    Thu Hien To;Matthieu Jung;Samantha Lycett;Olivier Gascuel

  • Neighbor-Joining Revealed

    Olivier Gascuel;Mike Steel

  • Empirical profile mixture models for phylogenetic reconstruction

    Le Si Quang;Olivier Gascuel;Nicolas Lartillot

  • Identification of novel peptide hormones in the human proteome by hidden Markov model screening.

    Olivier Mirabeau;Emerald Perlas;Cinzia Severini;Enrica Audero

  • Theoretical Foundation of the Balanced Minimum Evolution Method of Phylogenetic Inference and Its Relationship to Weighted Least-Squares Tree Fitting

    Richard Desper;Olivier Gascuel

  • Mathematics of Evolution and Phylogeny

    Olivier Gascuel

Frequent Co-Authors

Mike Steel
Mike Steel University of Canterbury
Emmanuel J. P. Douzery
Emmanuel J. P. Douzery University of Montpellier
Olivier Elemento
Olivier Elemento Cornell University
Eric Maréchal
Eric Maréchal Grenoble Alpes University
Tanja Stadler
Tanja Stadler Swiss Institute of Bioinformatics
Bernard M. E. Moret
Bernard M. E. Moret École Polytechnique Fédérale de Lausanne
Tulio de Oliveira
Tulio de Oliveira University of KwaZulu-Natal
Cedric Notredame
Cedric Notredame Pompeu Fabra University
Marco Salemi
Marco Salemi University of Florida
Marie-Paule Lefranc
Marie-Paule Lefranc University of Montpellier

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