Paul van der Mark
Genetics · 2008–2012
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 25 citations into it; #1,305 of 6,854 by trust here, #1,064 by citations
- Molecular Biology — 20 citations into it; #4,118 of 17,773 by trust here, #4,775 by citations
- Paleontology — 18 citations into it; #336 of 1,427 by trust here, #102 by citations
- Nature and Landscape Conservation — 10 citations into it
- Ecology — 5 citations into it
Whom Paul van der Mark trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Beerli
- Fredrik Ronquist
- John P. Huelsenbeck
- Joseph Felsenstein
- I. Sanmartín
- Mark V. Lomolino
- Paul O. Lewis
- Mark Pagel
- Daniel R. Brooks
- Richard H. Ree
Who trusts Paul van der Mark overall
- I. Sanmartín
- Fredrik Ronquist
- A. Harris
- Richard H. Ree
- Philippe Lemey
- E. A. Almeida
- Andrew Rambaut
- Antoine Fouquet
- Ziheng Yang
- S. Buerki
Papers from Paul van der Mark's perspective
Ordered by how strongly the researchers Paul van der Mark trusts endorse each paper. Same corpus, a different order for every researcher.
- MrBayes 3: Bayesian phylogenetic inference under mixed models (Bioinform.)
- Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
- Bayesian selection of continuous-time Markov chain evolutionary models. (Molecular biology and evolution)
- MRBAYES: Bayesian inference of phylogenetic trees (Bioinform.)
- Improving marginal likelihood estimation for Bayesian phylogenetic model selection. (Systematic Biology)
- Bayesian phylogenetic analysis of combined data. (Systematic Biology)
- Bayesian phylogenetic model selection using reversible jump Markov chain Monte Carlo. (Molecular biology and evolution)
- A likelihood approach to estimating phylogeny from discrete morphological character data. (Systematic Biology)
- Comparison of Bayesian and maximum-likelihood inference of population genetic parameters (Bioinform.)
- Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach (Proceedings of the National Academy of Sciences of the United States of America)