Brian S. Cade

Nature and Landscape Conservation · 2003–2015

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

• Nature and Landscape Conservation — 17 citations into it; #323 of 6,941 by trust here, #1,509 by citations
• Ecology — 14 citations into it; #7,470 of 10,717 by trust here, #9,173 by citations
• Ecological Modeling — 13 citations into it; #473 of 2,530 by trust here, #2,225 by citations
• Statistics and Probability — 11 citations into it
• Ecology, Evolution, Behavior and Systematics — 10 citations into it
• Artificial Intelligence — 7 citations into it
• Genetics — 5 citations into it

Whom Brian S. Cade trusts overall

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

1. K. Burnham
2. R. Freckleton
3. Nicholas Gotelli
4. Jerald B. Johnson
5. Roger W. Koenker
6. David R. Anderson
7. R. Strawderman
8. Jennifer A. Hoeting
9. C. Grueber
10. Kristian S. Omland

Who trusts Brian S. Cade overall

1. Marti J. Anderson
2. J. Fieberg
3. M. Miriti
4. M. Galipaud
5. N. Tôrres
6. P. Guidetti
7. Daniel Allen
8. K. S. Knight
9. Colin T. Kremer
10. Hao Zang

Papers from Brian S. Cade's perspective

Ordered by how strongly the researchers Brian S. Cade trusts endorse each paper. Same corpus, a different order for every researcher.

1. Estimating the Dimension of a Model
2. Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error (Behavioral Ecology and Sociobiology)
3. Generalized Linear Models
4. Model selection and multimodel inference : a practical information-theoretic approach
5. Regression Shrinkage and Selection via the Lasso
6. Model selection in ecology and evolution. (Trends in Ecology & Evolution)
7. Model selection and inference : a practical information-theoretic approach
8. Information Theory and an Extension of the Maximum Likelihood Principle
9. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis
10. Why do we still use stepwise modelling in ecology and behaviour? (Journal of Animal Ecology)

Their papers

• QUANTILE REGRESSION REVEALS HIDDEN BIAS AND UNCERTAINTY IN HABITAT MODELS (2005) — 165 citations
• Model averaging and muddled multimodel inferences. (2015) — 605 citations
• Determinants of woody cover in African savannas (2005) — 1,969 citations
• A gentle introduction to quantile regression for ecologists (2003) — 1,870 citations