Stéphane Guindon

Molecular Biology · 2003–2012

A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 229 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 48 citations into it; #63 of 17,773 by trust here, #834 by citations
• Genetics — 41 citations into it; #18 of 6,854 by trust here, #146 by citations
• Paleontology — 20 citations into it; #699 of 1,427 by trust here, #247 by citations

Whom Stéphane Guindon trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alexandros Stamatakis
2. Maria Anisimova
3. Olivier Gascuel
4. Joseph Felsenstein
5. John P. Huelsenbeck
6. Fredrik Ronquist
7. Derrick J. Zwickl
8. Christian M. Zmasek
9. Nick Goldman
10. Michael P. Cummings

Who trusts Stéphane Guindon overall

1. Alexandros Stamatakis
2. Marc W. Cadotte
3. Morgan N. Price
4. Olivier Gascuel
5. Maria Anisimova
6. Jonathan Pevsner
7. Diego Darriba
8. Toni Gabaldón
9. Federico Abascal
10. Bui Quang Minh

Papers from Stéphane Guindon's perspective

Ordered by how strongly the researchers Stéphane Guindon trusts endorse each paper. Same corpus, a different order for every researcher.

1. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. (Systematic Biology)
2. A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
3. MRBAYES: Bayesian inference of phylogenetic trees (Bioinform.)
4. Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
5. MrBayes 3: Bayesian phylogenetic inference under mixed models (Bioinform.)
6. A new method for calculating evolutionary substitution rates (Journal of Molecular Evolution)
7. Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
8. Likelihood-based tests of topologies in phylogenetics. (Systematic Biology)
9. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.
10. Phylogenetic models of rate heterogeneity: a high performance computing perspective (Proceedings 20th IEEE International Parallel & Distributed Processing Symposium)

Their papers

• A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. (2003) — 17,026 citations
• New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. (2010) — 17,454 citations
• SeaView version 4: A multiplatform graphical user interface for sequence alignment and phylogenetic tree building. (2010) — 5,738 citations
• Partitionfinder: combined selection of partitioning schemes and substitution models for phylogenetic analyses. (2012) — 5,480 citations
• Estimating maximum likelihood phylogenies with PhyML. (2009) — 816 citations
• The influence of rate heterogeneity among sites on the time dependence of molecular rates. (2012) — 286 citations