Rebecca E. Ross

Ecology · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 57 citations into it; #5,664 of 10,717 by trust here, #10,333 by citations
• Ecological Modeling — 41 citations into it; #1,345 of 2,530 by trust here, #2,047 by citations
• Nature and Landscape Conservation — 33 citations into it
• Global and Planetary Change — 31 citations into it
• Oceanography — 21 citations into it; #2,156 of 4,047 by trust here, #3,855 by citations
• Genetics — 10 citations into it
• Ecology, Evolution, Behavior and Systematics — 7 citations into it

Whom Rebecca E. Ross trusts overall

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

1. Steven J. Phillips
2. K. Howell
3. J. M. Roberts
4. Canran Liu
5. Miroslav Dud'ik
6. R. P. Anderson
7. Robert E. Schapire
8. Jane Elith
9. P. Berry
10. R. Holt

Who trusts Rebecca E. Ross overall

1. K. Howell
2. Nils Piechaud
3. Anna-Leena Downie

Papers from Rebecca E. Ross's perspective

Ordered by how strongly the researchers Rebecca E. Ross trusts endorse each paper. Same corpus, a different order for every researcher.

1. Maximum entropy modeling of species geographic distributions
2. A maximum entropy approach to species distribution modeling (International Conference on Machine Learning)
3. Promising the future? Global change projections of species distributions
4. Predicting suitable habitat for the cold-water coral Lophelia pertusa (Scleractinia)
5. Selecting thresholds of occurrence in the prediction of species distributions
6. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
7. Predicting global habitat suitability for stony corals on seamounts
8. Using habitat models to identify suitable sites for marine protected areas for harbour porpoises (Phocoena phocoena)
9. Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. (Ecology Letters)
10. What do we gain from simplicity versus complexity in species distribution models

Their papers

• Outstanding Challenges in the Transferability of Ecological Models. (2018) — 629 citations
• Estimating dispersal distance in the deep sea: challenges and applications to marine reserves (2015) — 187 citations
• Use of predictive habitat modelling to assess the distribution and extent of the current protection of ‘listed’ deep‐sea habitats (2013) — 129 citations