Rafael Maia
Ecology, Evolution, Behavior and Systematics · 2013–2018
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Ecology, Evolution, Behavior and Systematics — 14 citations into it
- Cellular and Molecular Neuroscience — 9 citations into it
- Ecology — 6 citations into it; #10,631 of 10,717 by trust here, #10,115 by citations
Whom Rafael Maia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Hadfield
- John A. Endler
- Stephen Westland
- Shinichi Nakagawa
- N. Hart
- Caterina Ripamonti
- T. White
- Marti J. Anderson
- Benjamin M. Bolker
- David I. Warton
Who trusts Rafael Maia overall
Papers from Rafael Maia's perspective
Ordered by how strongly the researchers Rafael Maia trusts endorse each paper. Same corpus, a different order for every researcher.
- MCMC methods for multi-response generalized linear mixed models
- Animal colour vision — behavioural tests and physiological concepts (Biological Reviews of The Cambridge Philosophical Society)
- General quantitative genetic methods for comparative biology: phylogenies, taxonomies and multi‐trait models for continuous and categorical characters (Journal of Evolutionary Biology)
- Computational Colour Science Using MATLAB
- Ecological Models and Data in R
- Comparing entire colour patterns as birds see them
- A framework for analysing colour pattern geometry: adjacent colours
- Chromatic and achromatic vision: parameter choice and limitations for reliable model predictions
- Image calibration and analysis toolbox – a free software suite for objectively measuring reflectance, colour and pattern (Methods in Ecology and Evolution)
- Comparing colors using visual models
Their papers
- Comparing colors using visual models (2018) — 83 citations
- pavo 2.0: new tools for the spectral and spatial analysis of colour in R (2018) — 415 citations
- pavo: an R package for the analysis, visualization and organization of spectral data (2013) — 621 citations