Peter Beerli
Genetics · 2001–2016
A researcher in the Science corpus: 9 papers; trusts 34 researchers and is trusted by 75 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 43 citations into it; #207 of 6,854 by trust here, #1,419 by citations
- Molecular Biology — 24 citations into it; #7,205 of 17,773 by trust here, #6,893 by citations
- Artificial Intelligence — 13 citations into it
- Paleontology — 13 citations into it; #1,220 of 1,427 by trust here, #407 by citations
- Statistics and Probability — 13 citations into it; #1,122 of 12,932 by trust here, #1,751 by citations
- Environmental Engineering — 10 citations into it
- Plant Science — 5 citations into it
- Water Science and Technology — 5 citations into it
Whom Peter Beerli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael P. Cummings
- Michael J. Sanderson
- J. Hey
- Christian M. Zmasek
- Jason Schweinsberg
- Peter J. Green
- Joseph Felsenstein
- J. Neigel
- François Rousset
- Nial Friel
Who trusts Peter Beerli overall
- M. Hellberg
- I. Sanmartín
- S. Edwards
- Michael Palczewski
- MARK A. Beaumont
- Andrew Rambaut
- Devon E. Pearse
- Richard H. Ree
- B. Mcrae
- J. Neigel
Papers from Peter Beerli's perspective
Ordered by how strongly the researchers Peter Beerli trusts endorse each paper. Same corpus, a different order for every researcher.
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- PAUP* Phylogenetic analysis using parsimony (*and other methods) Version 4
- MRBAYES: Bayesian inference of phylogenetic trees (Bioinform.)
- MrBayes 3: Bayesian phylogenetic inference under mixed models (Bioinform.)
- Arthropod relationships revealed by phylogenomic analysis of nuclear protein-coding sequences (Nature)
- Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling
- PAUP* [Phylogenetic Analysis Using Parsimony (and Other Methods)]
- Improving marginal likelihood estimation for Bayesian phylogenetic model selection. (Systematic Biology)
- Inference of population structure using multilocus genotype data. (Genetics)
- Computing Bayes factors using thermodynamic integration. (Systematic Biology)
Their papers
- BEAGLE: An Application Programming Interface and High-Performance Computing Library for Statistical Phylogenetics (2011) — 656 citations
- The utility of single nucleotide polymorphisms in inferences of population history (2003) — 655 citations
- Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach (2001) — 1,775 citations
- Estimating Divergence Times from Molecular Data on Phylogenetic and Population Genetic Timescales (2002) — 596 citations
- Evaluating marginal likelihood with thermodynamic integration method and comparison with several other numerical methods (2016) — 52 citations
- Unified Framework to Evaluate Panmixia and Migration Direction Among Multiple Sampling Locations (2010) — 680 citations
- How to use MIGRATE or why are Markov chain Monte Carlo programs difficult to use (2009) — 316 citations
- Comparison of Bayesian and maximum-likelihood inference of population genetic parameters (2006) — 898 citations
- The Strength of Phenotypic Selection in Natural Populations (2001) — 1,803 citations