Sarah L. Boyer

Paleontology · 2002–2012

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah L. Boyer trusts overall

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

  1. G. Edgecombe
  2. Gonzalo Giribet
  3. P. Schwendinger
  4. David Posada
  5. John P. Huelsenbeck
  6. T. Buckley
  7. Fredrik Ronquist
  8. Julie Dawn Thompson
  9. Ward C. Wheeler
  10. M. Harvey

Who trusts Sarah L. Boyer overall

  1. J. Johansen
  2. Gonzalo Giribet
  3. D. Casamatta
  4. K. Řeháková
  5. J. Komárek
  6. Karina Osorio-Santos
  7. Prashant P. Sharma
  8. Ligia R. Benavides
  9. J. Morrone
  10. N. Pietrasiak

Papers from Sarah L. Boyer's perspective

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

  1. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
  2. Relaxed Phylogenetics and Dating with Confidence (PLoS Biology)
  3. Maximum likelihood inference of geographic range evolution by dispersal, local extinction, and cladogenesis. (Systematic Biology)
  4. Model selection and model averaging in phylogenetics: advantages of akaike information criterion and bayesian approaches over likelihood ratio tests. (Systematic Biology)
  5. A LIKELIHOOD FRAMEWORK FOR INFERRING THE EVOLUTION OF GEOGRAPHIC RANGE ON PHYLOGENETIC TREES (Evolution; international journal of organic evolution)
  6. MRBAYES: Bayesian inference of phylogenetic trees (Bioinform.)
  7. Assessing the root of bilaterian animals with scalable phylogenomic methods (Proceedings of the Royal Society of London. Biological Sciences)
  8. Phylogeny and Systematic Position of Opiliones: A Combined Analysis of Chelicerate Relationships Using Morphological and Molecular Data [X983] (matrix)
  9. Maximum entropy modeling of species geographic distributions
  10. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

Their papers