Robin Engler
Nature and Landscape Conservation · 2004–2017
A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 83 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 106 citations into it; #170 of 6,941 by trust here, #480 by citations
- Ecological Modeling — 101 citations into it; #84 of 2,530 by trust here, #205 by citations
- Ecology — 74 citations into it; #229 of 10,717 by trust here, #585 by citations
- Ecology, Evolution, Behavior and Systematics — 36 citations into it
- Genetics — 20 citations into it
- Global and Planetary Change — 14 citations into it
- Artificial Intelligence — 8 citations into it
- Statistics and Probability — 7 citations into it
Whom Robin Engler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antoine Guisan
- Wilfried Thuiller
- Miguel B. Araújo
- Michael P. Austin
- Trevor J. Hastie
- N. E. Zimmermann
- David J. Hand
- Anthony Lehmann
- M. New
- Eric R. Ziegel
Who trusts Robin Engler overall
- Jane Elith
- Antoine Guisan
- Jorge M. Lobo
- A. Jiménez‐Valverde
- Miguel B. Araújo
- M. Wisz
- Sunil Kumar
- J. Stolar
- Rosa M. Chefaoui
- Syartinilia
Papers from Robin Engler's perspective
Ordered by how strongly the researchers Robin Engler trusts endorse each paper. Same corpus, a different order for every researcher.
- Predictive habitat distribution models in ecology
- BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Measuring the accuracy of diagnostic systems.
- The meaning and use of the area under a receiver operating characteristic (ROC) curve.
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- A Coefficient of Agreement for Nominal Scales
- Generalized Linear Models
- New developments in museum-based informatics and applications in biodiversity analysis. (Trends in Ecology & Evolution)
- Generalized linear and generalized additive models in studies of species distributions: setting the scene
Their papers
- ecospat: an R package to support spatial analyses and modeling of species niches and distributions (2017) — 1,094 citations
- The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases (2015) — 60 citations
- Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution (2013) — 107 citations
- Prospective sampling based on model ensembles improves the detection of rare species (2010) — 99 citations
- BIOMOD – a platform for ensemble forecasting of species distributions (2009) — 2,605 citations
- Seed dispersal distances: a typology based on dispersal modes and plant traits (2007) — 405 citations
- An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data (2004) — 998 citations