Stephanie N. Seifert

Ecological Modeling · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Ecological Modeling — 23 citations into it; #123 of 2,530 by trust here, #746 by citations
• Ecology — 17 citations into it; #336 of 10,717 by trust here, #2,800 by citations
• Nature and Landscape Conservation — 17 citations into it; #327 of 6,941 by trust here, #2,278 by citations

Whom Stephanie N. Seifert trusts overall

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

1. Steven J. Phillips
2. Dan L. Warren
3. Hirotugu Akaike
4. Jorge Soberón
5. A. Townsend Peterson
6. R. P. Anderson
7. A. Jiménez‐Valverde
8. Robert J. Hijmans
9. Richard E. Glor
10. Miroslav Dud'ik

Who trusts Stephanie N. Seifert overall

1. R. P. Anderson
2. Rune Halvorsen
3. Peter J. Galante
4. Robert Muscarella
5. B. Low
6. Pascal O. Title
7. Mariya Shcheglovitova
8. Adam B. Smith
9. Johanna Bradie
10. Robert A. Boria

Papers from Stephanie N. Seifert's perspective

Ordered by how strongly the researchers Stephanie N. Seifert trusts endorse each paper. Same corpus, a different order for every researcher.

1. Maximum entropy modeling of species geographic distributions
2. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
3. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. (Ecological Applications)
4. INTERPRETATION OF MODELS OF FUNDAMENTAL ECOLOGICAL NICHES AND SPECIES' DISTRIBUTIONAL AREAS
5. A new look at the statistical model identification
6. Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. (Ecological Applications)
7. The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela
8. Modelling species distributions without using species distributions: the cane toad in Australia under current and future climates
9. Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model. (Ecology)
10. Climate warming and the decline of amphibians and reptiles in Europe

Their papers

• 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