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Remco R. Bouckaert

Remco R. Bouckaert

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
20759
World Ranking
7140
National Ranking
29

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

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