Robert A. Boria
Ecological Modeling · 2014–2021
A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 98 citations into it; #772 of 2,530 by trust here, #727 by citations
- Ecology — 81 citations into it; #5,866 of 10,717 by trust here, #4,052 by citations
- Nature and Landscape Conservation — 75 citations into it
- Genetics — 20 citations into it; #3,202 of 6,854 by trust here, #1,999 by citations
- Statistics and Probability — 5 citations into it
Whom Robert A. Boria trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. P. Anderson
- Steven J. Phillips
- S. Veloz
- A. Townsend Peterson
- Dan L. Warren
- Richard G. Pearson
- M. Wisz
- Robert J. Hijmans
- Miroslav Dud'ik
- Miguel B. Araújo
Who trusts Robert A. Boria overall
- B. Low
- Yoan Fourcade
- A. Castellanos
- Yiwen Zeng
- Jason L. Brown
- J. W. Huntley
- Dan L. Warren
- H. Tan
- J. Engler
- D. Yeo
Papers from Robert A. Boria's perspective
Ordered by how strongly the researchers Robert A. Boria trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum entropy modeling of species geographic distributions
- Real vs. artefactual absences in species distributions: tests for Oryzomys albigularis (Rodentia: Muridae) in Venezuela
- Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in Madagascar
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- COMPETITIVE INTERACTIONS BETWEEN TREE SPECIES IN NEW ZEALAND'S OLD‐GROWTH INDIGENOUS FORESTS
- Extinction risk from climate change (Nature)
- Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. (Ecological Applications)
- A statistical explanation of MaxEnt for ecologists
- New developments in museum-based informatics and applications in biodiversity analysis. (Trends in Ecology & Evolution)
- Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models
Their papers
- ENMeval 2.0: Redesigned for customizable and reproducible modeling of species’ niches and distributions (2021) — 599 citations
- spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models (2015) — 2,023 citations
- Spatial filtering to reduce sampling bias can improve the performance of ecological niche models (2014) — 1,338 citations
- ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models (2014) — 1,878 citations
- Can biotic interactions cause allopatry? Niche models, competition, and distributions of South American mouse opossums (2014) — 89 citations