S. Goodman
Ecological Modeling · Oryx · 2000–2018
A researcher in the Science corpus: 11 papers; trusts 24 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 61 citations into it; #1,334 of 2,530 by trust here, #585 by citations
- Ecology — 57 citations into it
- Nature and Landscape Conservation — 54 citations into it; #6,876 of 6,941 by trust here, #5,573 by citations
- Ecology, Evolution, Behavior and Systematics — 27 citations into it; #2,830 of 6,648 by trust here, #1,607 by citations
- Genetics — 21 citations into it; #3,999 of 6,854 by trust here, #1,346 by citations
- Molecular Biology — 8 citations into it
- Paleontology — 6 citations into it
Whom S. Goodman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. P. Anderson
- Steven J. Phillips
- S. Veloz
- M. Moran
- Shinichi Nakagawa
- Luis V. García
- Richard G. Pearson
- A. Townsend Peterson
- David Posada
- Robert J. Hijmans
Who trusts S. Goodman overall
- M. Callmander
- Peter M. Kappeler
- M. E. Irwin
- Kerry Ossi
- D. B. Harris
- A. Yoder
- Ian Tattersall
- F. Glaw
- P. Lahann
- R. Mittermeier
Papers from S. Goodman's perspective
Ordered by how strongly the researchers S. Goodman trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum entropy modeling of species geographic distributions
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in Madagascar
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Mapping Species Distributions: Spatial Inference and Prediction
- Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. (Ecological Applications)
- Five (or so) challenges for species distribution modelling
- Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models
- Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
- Uses and requirements of ecological niche models and related distributional models
Their papers
- Taxonomic Revision of Mouse Lemurs (Microcebus) in the Western Portions of Madagascar (2000) — 198 citations
- Biogeography of lemurs in the humid forests of Madagascar: the role of elevational distribution and rivers (2004) — 141 citations
- The challenge of modeling niches and distributions for data‐poor species: a comprehensive approach to model complexity (2018) — 149 citations
- Spatial filtering to reduce sampling bias can improve the performance of ecological niche models (2014) — 1,338 citations
- New Directions in Lemur Studies (2012) — 135 citations
- Patterns of species change in anthropogenically disturbed forests of Madagascar (2010) — 241 citations
- Updated estimates of biotic diversity and endemism for Madagascar (2005) — 373 citations
- The distribution and conservation of bats in the dry regions of Madagascar (2005) — 127 citations
- Reconstruction of the colonization of southern Madagascar by introduced Rattus rattus (2005) — 83 citations
- Illumination of cryptic species boundaries in long-tailed shrew tenrecs (Mammalia: Tenrecidae; Microgale), with new insights into geographic variation and distributional constraints (2004) — 84 citations
- The Natural History of Madagascar (2003) — 641 citations