Philip Stephens
Nature and Landscape Conservation · 2002–2017
A researcher in the Science corpus: 8 papers; trusts 29 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 98 citations into it; #386 of 6,941 by trust here, #782 by citations
- Ecological Modeling — 84 citations into it; #144 of 2,530 by trust here, #342 by citations
- Ecology — 80 citations into it; #6,040 of 10,717 by trust here, #5,221 by citations
- Ecology, Evolution, Behavior and Systematics — 39 citations into it; #1,658 of 6,648 by trust here, #2,574 by citations
- Global and Planetary Change — 26 citations into it; #1,846 of 10,225 by trust here, #2,694 by citations
- Genetics — 23 citations into it
- Statistics and Probability — 21 citations into it
- Artificial Intelligence — 15 citations into it
Whom Philip Stephens trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- K. Burnham
- David R. Anderson
- Brian Dennis
- L. Eberhardt
- Jerald B. Johnson
- J. Pearce
- Shinichi Nakagawa
- Wilfried Thuiller
- S. Richards
- R. Freckleton
Who trusts Philip Stephens overall
- Shinichi Nakagawa
- L. Garamszegi
- R. Freckleton
- Roger Mundry
- Harlan Campbell
- Benjamin M. Bolker
- W. J. Sutherland
- K. Norris
- M. Galipaud
- S. Richards
Papers from Philip Stephens's perspective
Ordered by how strongly the researchers Philip Stephens trusts endorse each paper. Same corpus, a different order for every researcher.
- Null Hypothesis Testing: Problems, Prevalence, and an Alternative
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- A new look at the statistical model identification
- Why do we still use stepwise modelling in ecology and behaviour? (Journal of Animal Ecology)
- Model Selection and Inference: A Practical Information-Theoretic Approach
- Evaluating the predictive performance of habitat models developed using logistic regression
- BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
- Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error (Behavioral Ecology and Sociobiology)
- Kullback-Leibler information as a basis for strong inference in ecological studies
- A Coefficient of Agreement for Nominal Scales
Their papers
- Why do we still use stepwise modelling in ecology and behaviour? (2006) — 1,544 citations
- Global patterns in the divergence between phylogenetic diversity and species richness in terrestrial birds (2017) — 99 citations
- Management by proxy?:the use of indices in applied ecology (2015) — 171 citations
- Improving species distribution models: the value of data on abundance (2014) — 189 citations
- Model selection and model averaging in behavioural ecology: the utility of the IT-AIC framework (2010) — 522 citations
- Capital or income breeding? A theoretical model of female reproductive strategies (2007) — 193 citations
- Information theory and hypothesis testing: a call for pluralism (2005) — 315 citations
- Model complexity and population predictions. The alpine marmot as a case study (2002) — 138 citations