Miguel Nakamura
Ecological Modeling · 2006–2011
A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 64 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 111 citations into it; #72 of 2,530 by trust here, #45 by citations
- Nature and Landscape Conservation — 95 citations into it; #256 of 6,941 by trust here, #134 by citations
- Ecology — 78 citations into it; #206 of 10,717 by trust here, #470 by citations
- Ecology, Evolution, Behavior and Systematics — 21 citations into it
- Genetics — 21 citations into it
Whom Miguel Nakamura trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jorge Soberón
- A. Townsend Peterson
- Antoine Guisan
- R. P. Anderson
- Steven J. Phillips
- Qinghua Guo
- Miguel B. Araújo
- Catherine H. Graham
- Wilfried Thuiller
- David D. Ackerly
Who trusts Miguel Nakamura overall
- Jorge Soberón
- B. Blonder
- R. P. Anderson
- Jorge M. Lobo
- A. Townsend Peterson
- Jane Elith
- A. Jiménez‐Valverde
- Rune Halvorsen
- Joaquín Hortal
- Miguel B. Araújo
Papers from Miguel Nakamura's perspective
Ordered by how strongly the researchers Miguel Nakamura trusts endorse each paper. Same corpus, a different order for every researcher.
- On the relationship between niche and distribution
- Evidence of climatic niche shift during biological invasion. (Ecology Letters)
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- Grinnellian and Eltonian niches and geographic distributions of species. (Ecology Letters)
- A maximum entropy approach to species distribution modeling (International Conference on Machine Learning)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Community Assembly, Niche Conservatism, and Adaptive Evolution in Changing Environments (INTERNATIONAL JOURNAL PLANT SCIENCES)
- Predicting climate‐induced range shifts: model differences and model reliability
- Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. (Ecological Applications)
- Rebuilding community ecology from functional traits. (Trends in Ecology & Evolution)
Their papers
- Ecological Niches and Geographic Distributions (2011) — 1,887 citations
- Niches and distributional areas: Concepts, methods, and assumptions (2009) — 1,236 citations
- Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in Madagascar (2006) — 3,236 citations
- Novel methods improve prediction of species' distributions from occurrence data (2006) — 7,428 citations