Michael R. May

Molecular Biology · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael R. May trusts overall

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

  1. Peter J. Green
  2. D. Rabosky
  3. John K. Kruschke
  4. Michael E. Alfaro
  5. Simon J. Godsill

Papers from Michael R. May's perspective

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

  1. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  2. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
  3. Nine exceptional radiations plus high turnover explain species diversity in jawed vertebrates (Proceedings of the National Academy of Sciences of the United States of America)
  4. Automatic Detection of Key Innovations, Rate Shifts, and Diversity-Dependence on Phylogenetic Trees (PLoS ONE)
  5. Bayesian data analysis.
  6. Trans-dimensional Markov chain Monte Carlo
  7. RPANDA: an R package for macroevolutionary analyses on phylogenetic trees
  8. Land-plant diversity and the end-Permian mass extinction
  9. Phased Diploid Genome Assembly with Single Molecule Real-Time Sequencing (Nature Methods)
  10. GEIGER: investigating evolutionary radiations (Bioinform.)

Their papers