M. Murphy
Ecology · Conservation Genetics · 2002–2016
A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 72 citations into it; #6,768 of 10,717 by trust here, #3,525 by citations
- Genetics — 54 citations into it; #3,234 of 6,854 by trust here, #1,889 by citations
- Nature and Landscape Conservation — 37 citations into it
- Ecological Modeling — 24 citations into it
- Ecology, Evolution, Behavior and Systematics — 13 citations into it
- Environmental Engineering — 12 citations into it
- Statistics and Probability — 12 citations into it
- Artificial Intelligence — 10 citations into it
Whom M. Murphy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. Piggott
- Leo Breiman
- E. Bellemain
- Pierre Legendre
- François Balloux
- G. De’ath
- Samuel A. Cushman
- B. Mcrae
- Jerome H. Friedman
- J. Arnaud
Who trusts M. Murphy overall
- J. Scoble
- Andrew Storfer
- Andrew Lowe
- Samuel A. Cushman
- Niko Balkenhol
- L. Waits
- Stephen F. Spear
- R. Holderegger
- Z. Nagy
- W. Peterman
Papers from M. Murphy's perspective
Ordered by how strongly the researchers M. Murphy trusts endorse each paper. Same corpus, a different order for every researcher.
- Landscape genetics: combining landscape ecology and population genetics
- Gene Flow in Complex Landscapes: Testing Multiple Hypotheses with Causal Modeling (American Naturalist)
- ISOLATION BY RESISTANCE (Evolution; international journal of organic evolution)
- Predictive habitat distribution models in ecology
- Circuit theory predicts gene flow in plant and animal populations (Proceedings of the National Academy of Sciences of the United States of America)
- Bagging Predictors
- A simulated annealing approach to define the genetic structure of populations (Molecular Ecology)
- Why sampling scheme matters: the effect of sampling scheme on landscape genetic results (Conservation Genetics)
- Greedy function approximation: A gradient boosting machine.
- Inference of population structure using multilocus genotype data. (Genetics)
Their papers
- Critical considerations for the application of environmental DNA methods to detect aquatic species (2016) — 879 citations
- The impact of time and field conditions on brown bear (Ursus arctos) faecal DNA amplification (2007) — 165 citations
- An evaluation of long-term preservation methods for brown bear (Ursus arctos) faecal DNA samples (2002) — 150 citations
- Modeling Species Distribution and Change Using Random Forest (2011) — 396 citations
- Landscape genetics: where are we now? (2010) — 597 citations
- Representing genetic variation as continuous surfaces: An approach for identifying spatial dependency in landscape genetic studies (2008) — 112 citations
- Putting the ‘landscape’ in landscape genetics (2007) — 935 citations