Dan L. Warren

Ecological Modeling · 2008–2021

A researcher in the Science corpus: 8 papers; trusts 30 researchers and is trusted by 85 researchers here, as inferred from the citation graph.

Subfields

• Ecological Modeling — 119 citations into it; #59 of 2,530 by trust here, #299 by citations
• Nature and Landscape Conservation — 101 citations into it; #208 of 6,941 by trust here, #1,064 by citations
• Ecology — 86 citations into it; #302 of 10,717 by trust here, #2,507 by citations
• Genetics — 23 citations into it
• Statistics and Probability — 15 citations into it
• Artificial Intelligence — 14 citations into it
• Molecular Biology — 7 citations into it; #3,188 of 17,773 by trust here, #6,609 by citations
• Paleontology — 7 citations into it; #197 of 1,427 by trust here, #95 by citations

Whom Dan L. Warren trusts overall

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

1. Steven J. Phillips
2. A. Townsend Peterson
3. A. Jiménez‐Valverde
4. Robert J. Hijmans
5. R. P. Anderson
6. Jorge Soberón
7. Hirotugu Akaike
8. Jorge M. Lobo
9. J. Losos
10. Daniel McFadden

Who trusts Dan L. Warren overall

1. R. P. Anderson
2. Rune Halvorsen
3. A. Townsend Peterson
4. B. Low
5. Mariya Shcheglovitova
6. D. Pike
7. Robert Muscarella
8. Peter J. Galante
9. M. Cobos
10. Orly Razgour

Papers from Dan L. Warren's perspective

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

1. Maximum entropy modeling of species geographic distributions
2. Niche Conservatism: Integrating Evolution, Ecology, and Conservation Biology
3. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
4. INTERPRETATION OF MODELS OF FUNDAMENTAL ECOLOGICAL NICHES AND SPECIES' DISTRIBUTIONAL AREAS
5. Extinction risk from climate change (Nature)
6. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
7. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
8. Predictive habitat distribution models in ecology
9. Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning
10. Real vs. artefactual absences in species distributions: tests for Oryzomys albigularis (Rodentia: Muridae) in Venezuela

Their papers

• AWTY (are we there yet?): a system for graphical exploration of MCMC convergence in Bayesian phylogenetics (2008) — 1,779 citations
• ENMTools: a toolbox for comparative studies of environmental niche models (2010) — 2,009 citations
• 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
• Which species distribution models are more (or less) likely to project broad-scale, climate-induced shifts in species ranges? (2016) — 128 citations
• Incorporating model complexity and spatial sampling bias into ecological niche models of climate change risks faced by 90 California vertebrate species of concern (2014) — 287 citations
• Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. (2011) — 2,209 citations
• Environmental Niche Equivalency versus Conservatism: Quantitative Approaches to Niche Evolution (2008) — 2,518 citations