Paul C. Johnson

Methods in Ecology and Evolution · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Whom Paul C. Johnson trusts overall

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

  1. Shinichi Nakagawa
  2. H. Schielzeth
  3. Tom A. B. Snijders
  4. Mollie E. Brooks
  5. C. Clark
  6. Roel Bosker

Who trusts Paul C. Johnson overall

  1. J. Lefcheck
  2. Martin A. Stoffel
  3. Shinichi Nakagawa
  4. H. Schielzeth
  5. Xingli Giam
  6. Byron C. Jaeger
  7. Judith Degen

Papers from Paul C. Johnson's perspective

Ordered by how strongly the researchers Paul C. Johnson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Multilevel analysis : an introduction to basic and advanced multilevel modeling
  2. MuMIn : multi-model inference, R package version 0.12.0
  3. Repeatability for Gaussian and non‐Gaussian data: a practical guide for biologists (Biological Reviews of The Cambridge Philosophical Society)
  4. Generalized linear mixed models: a practical guide for ecology and evolution. (Trends in Ecology & Evolution)
  5. A general and simple method for obtaining R2 from generalized linear mixed‐effects models
  6. Mixed Effects Models and Extensions in Ecology with R
  7. MCMC methods for multi-response generalized linear mixed models
  8. Linear Mixed Models for Longitudinal Data (Technometrics)
  9. Zero-inflated Poisson regression, with an application to defects in manufacturing
  10. Using observation-level random effects to model overdispersion in count data in ecology and evolution (PeerJ)

Their papers