World's Best Scientists 2026 revealed!
Remco R. Bouckaert

Remco R. Bouckaert

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
20759
World Ranking
7143
National Ranking
29

Remco R. Bouckaert publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Remco R. Bouckaert sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 93 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Remco R. Bouckaert D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Remco R. Bouckaert sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Remco R. Bouckaert is affiliated with the University of Auckland in New Zealand. Their main scientific contributions are in the field of Biochemistry, Genetics and Molecular Biology, with 94 publications. Within this broad domain, their work spans several subfields including Molecular Biology, Genetics, Paleontology, Infectious Diseases, and Language and Linguistics.

Their research topics cover a variety of areas, notably Genomics and Phylogenetic Studies, Genetic diversity and population structure, Evolution and Paleontology Studies, RNA and protein synthesis mechanisms, Evolution and Genetic Dynamics, Linguistic Variation and Morphology, and Language and cultural evolution.

Some recent papers by Remco R. Bouckaert demonstrate interdisciplinary connections between linguistics and genetic or evolutionary studies:

  • Triangulation supports agricultural spread of the Transeurasian languages, 2021, Nature
  • Adaptive dating and fast proposals: Revisiting the phylogenetic relaxed clock model, 2021, PLoS Computational Biology
  • Language trees with sampled ancestors support a hybrid model for the origin of Indo-European languages, 2023, Science
  • Phylogeographic analysis of the Bantu language expansion supports a rainforest route, 2022, Proceedings of the National Academy of Sciences
  • StarBeast3: Adaptive Parallelized Bayesian Inference under the Multispecies Coalescent, 2022, Systematic Biology

The frequent co-authors collaborating with Bouckaert include Jordan Douglas, Peter R. Wills, Alexei J. Drummond, Cinthy L. Jiménez-Silva, and Charles W. Carter. Their publication record shows ongoing partnerships with these researchers across multiple projects.

Publication venues where Bouckaert has frequently appeared include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Systematic Biology
  • Research Square (Research Square)
  • PLoS Computational Biology

Their research integrates approaches from genetics and linguistics, reflecting in studies that combine phylogenetic methods with language evolution and cultural diffusion. This interdisciplinary emphasis is expressed through works that bridge genetic data analysis and language trait modeling, contributing to understanding human population history and language spread mechanisms.

Best Publications

  • BEAST 2: A Software Platform for Bayesian Evolutionary Analysis

    Remco R. Bouckaert;Joseph Heled;Denise Kühnert;Timothy G. Vaughan

  • BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis.

    Remco Bouckaert;Remco Bouckaert;Timothy G Vaughan;Timothy G Vaughan;Joëlle Barido-Sottani;Joëlle Barido-Sottani;Sebastián Duchêne

  • DensiTree: making sense of sets of phylogenetic trees.

    Remco R. Bouckaert

  • Evaluating the replicability of significance tests for comparing learning algorithms

    Remco R. Bouckaert;Eibe Frank

  • StarBEAST2 Brings Faster Species Tree Inference and Accurate Estimates of Substitution Rates

    Huw A. Ogilvie;Remco R. Bouckaert;Alexei J. Drummond

  • WEKA---Experiences with a Java Open-Source Project

    Remco R. Bouckaert;Eibe Frank;Mark A. Hall;Geoffrey Holmes

  • Bayesian belief networks : from construction to inference

    R.R. Bouckaert

  • WEKA Manual for Version 3-6-10

    Remco R. Bouckaert;Eibe Frank;Richard Kirkby;Peter Reutemann

  • Naive Bayes for text classification with unbalanced classes

    Eibe Frank;Remco R. Bouckaert

  • Bayesian network classifiers in Weka

    Remco R. Bouckaert

  • Probalistic Network Construction Using the Minimum Description Length Principle

    Remco R. Bouckaert

  • DensiTree 2: Seeing Trees Through the Forest

    Remco R. Bouckaert;Joseph Heled

  • Choosing between two learning algorithms based on calibrated tests

    Remco R. Bouckaert

  • Looking for trees in the forest: summary tree from posterior samples

    Joseph Heled;Remco R Bouckaert

  • Model Selection and Parameter Inference in Phylogenetics Using Nested Sampling.

    Patricio R. Maturana;Brendon J. Brewer;Steffen Klaere;Remco Bouckaert

  • Adaptive dating and fast proposals: Revisiting the phylogenetic relaxed clock model.

    Jordan Douglas;Rong Zhang;Remco Bouckaert;Remco Bouckaert

  • Properties of Bayesian belief network learning algorithms

    Remco R. Bouckaert

  • A Bayesian phylogenetic study of the Dravidian language family

    Vishnupriya Kolipakam;Vishnupriya Kolipakam;Fiona M. Jordan;Michael Dunn;Michael Dunn;Simon J. Greenhill;Simon J. Greenhill

  • Language trees with sampled ancestors support a hybrid model for the origin of Indo-European languages

    Unknown

  • Bayesian Phylogenetic Estimation of Clade Ages Supports Trans-Atlantic Dispersal of Cichlid Fishes.

    Michael Matschiner;Michael Matschiner;Zuzana Musilová;Julia Maria Isis Barth;Zuzana Starostová

  • On chain graph models for description of conditional independence structures

    Milan Studený;Remco R. Bouckaert

  • Bayesian Network Classifiers in Weka for Version 3-5-7

    Remco R. Bouckaert

  • Naive bayes classifiers that perform well with continuous variables

    Remco R. Bouckaert

  • Bayesian Network Classifiers in Weka for Version 3-5-8

    Remco R. Bouckaert

Frequent Co-Authors

Alexei J. Drummond
Alexei J. Drummond University of Auckland
Simon J. Greenhill
Simon J. Greenhill Max Planck Society
Eibe Frank
Eibe Frank University of Waikato
Tanja Stadler
Tanja Stadler Swiss Institute of Bioinformatics
Marc A. Suchard
Marc A. Suchard University of California, Los Angeles
Quentin D. Atkinson
Quentin D. Atkinson University of Auckland
Andrew Rambaut
Andrew Rambaut University of Edinburgh
David W. Welch
David W. Welch University of Auckland
Enrique Castillo
Enrique Castillo University of Cantabria
Noah A. Rosenberg
Noah A. Rosenberg Stanford University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Remco R. Bouckaert

Trending Scientists

Recently Published Articles