Brian R. Moore

Paleontology · 2004–2016

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Paleontology — 22 citations into it; #171 of 1,427 by trust here, #273 by citations
• Genetics — 16 citations into it; #758 of 6,854 by trust here, #2,093 by citations
• Molecular Biology — 13 citations into it
• Ecology, Evolution, Behavior and Systematics — 10 citations into it; #753 of 6,648 by trust here, #1,917 by citations
• Nature and Landscape Conservation — 10 citations into it; #3,273 of 6,941 by trust here, #5,887 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Brian R. Moore trusts overall

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

1. Joseph Felsenstein
2. Richard H. Ree
3. Peter J. Green
4. D. Rabosky
5. John K. Kruschke
6. Fredrik Ronquist
7. I. Sanmartín
8. Michael J. Sanderson
9. Charles C. Davis
10. Andrew Gelman

Who trusts Brian R. Moore overall

1. N. Matzke
2. I. Sanmartín
3. Richard H. Ree
4. W. Baker
5. K. Tolley
6. Y. Bouchenak‐Khelladi
7. Prashant P. Sharma
8. A. Harris
9. Thomas L. P. Couvreur
10. Gonzalo Giribet

Papers from Brian R. Moore's perspective

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

1. Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
2. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
3. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
4. A LIKELIHOOD FRAMEWORK FOR INFERRING THE EVOLUTION OF GEOGRAPHIC RANGE ON PHYLOGENETIC TREES (Evolution; international journal of organic evolution)
5. Maximum likelihood inference of geographic range evolution by dispersal, local extinction, and cladogenesis. (Systematic Biology)
6. Inference from Iterative Simulation Using Multiple Sequences
7. Historical biogeography, ecology and species richness. (Trends in Ecology & Evolution)
8. Bayesian Phylogeography Finds Its Roots (PLoS Comput. Biol.)
9. An evaluation of new parsimony‐based versus parametric inference methods in biogeography: a case study using the globally distributed plant family Sapindaceae
10. Southern hemisphere biogeography inferred by event-based models: plant versus animal patterns. (Systematic Biology)

Their papers

• A Bayesian approach for detecting the impact of mass‐extinction events on molecular phylogenies when rates of lineage diversification may vary (2016) — 117 citations
• Bayesian analysis of biogeography when the number of areas is large. (2013) — 788 citations
• A LIKELIHOOD FRAMEWORK FOR INFERRING THE EVOLUTION OF GEOGRAPHIC RANGE ON PHYLOGENETIC TREES (2005) — 850 citations
• Detecting Diversification Rate Variation in Supertrees (2004) — 109 citations