N. Matzke
Nature and Landscape Conservation · 2011–2021
A researcher in the Science corpus: 9 papers; trusts 65 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 79 citations into it; #370 of 6,941 by trust here, #903 by citations
- Paleontology — 76 citations into it; #74 of 1,427 by trust here, #64 by citations
- Ecological Modeling — 73 citations into it; #349 of 2,530 by trust here, #444 by citations
- Ecology, Evolution, Behavior and Systematics — 63 citations into it
- Ecology — 59 citations into it; #10,035 of 10,717 by trust here, #8,686 by citations
- Genetics — 58 citations into it; #487 of 6,854 by trust here, #3,711 by citations
- Global and Planetary Change — 34 citations into it
- Molecular Biology — 34 citations into it
Whom N. Matzke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard H. Ree
- Michael J. Sanderson
- I. Sanmartín
- K. Burnham
- Michael J. Landis
- Fredrik Ronquist
- Peter J. Green
- Richard G. FitzJohn
- David Posada
- R. Cowie
Who trusts N. Matzke overall
- Matthew H. Van Dam
- Hojun Song
- J. Ebersbach
- Catherine H. Graham
- R. Mariño‐Pérez
- Jan Hackel
- A. Thornhill
- A. Muellner‐Riehl
- D. A. Woller
- T. Givnish
Papers from N. Matzke's perspective
Ordered by how strongly the researchers N. Matzke trusts endorse each paper. Same corpus, a different order for every researcher.
- Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
- A LIKELIHOOD FRAMEWORK FOR INFERRING THE EVOLUTION OF GEOGRAPHIC RANGE ON PHYLOGENETIC TREES (Evolution; international journal of organic evolution)
- Model selection and multimodel inference : a practical information-theoretic approach
- Maximum likelihood inference of geographic range evolution by dispersal, local extinction, and cladogenesis. (Systematic Biology)
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- Inference from Iterative Simulation Using Multiple Sequences
- Bayesian Phylogeography Finds Its Roots (PLoS Comput. Biol.)
- Southern hemisphere biogeography inferred by event-based models: plant versus animal patterns. (Systematic Biology)
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Statistical Phylogeography (Molecular Ecology)
Their papers
- ENMTools 1.0: an R package for comparative ecological biogeography (2021) — 392 citations
- Evaluating presence‐only species distribution models with discrimination accuracy is uninformative for many applications (2019) — 90 citations
- Bayesian estimation of the global biogeographical history of the Solanaceae (2017) — 286 citations
- Evaluating the influence of connectivity and distance on biogeographical patterns in the south‐western deserts of North America (2016) — 106 citations
- Model selection in historical biogeography reveals that founder-event speciation is a crucial process in Island Clades. (2014) — 1,214 citations
- Bayesian analysis of biogeography when the number of areas is large. (2013) — 788 citations
- Probabilistic historical biogeography: new models for founder-event speciation, imperfect detection, and fossils allow improved accuracy and model-testing (2013) — 957 citations
- Approaching a state shift in Earth’s biosphere (2012) — 1,780 citations
- Has the Earth’s sixth mass extinction already arrived? (2011) — 3,779 citations