E. Ieno
Nature and Landscape Conservation · 2006–2016
A researcher in the Science corpus: 14 papers; trusts 17 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 33 citations into it; #784 of 6,941 by trust here, #1,184 by citations
- Statistics and Probability — 29 citations into it; #3,844 of 12,932 by trust here, #1,382 by citations
- Ecology — 27 citations into it; #3,710 of 10,717 by trust here, #4,523 by citations
- Artificial Intelligence — 18 citations into it; #8,189 of 35,345 by trust here, #3,059 by citations
- Oceanography — 9 citations into it; #3,026 of 4,047 by trust here, #142 by citations
- Ecological Modeling — 7 citations into it; #1,423 of 2,530 by trust here, #2,225 by citations
- Environmental Engineering — 6 citations into it
- Molecular Biology — 5 citations into it
Whom E. Ieno trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Deepayan Sarkar
- G. Quinn
- A. Zuur
- John K. Kruschke
- O. Schabenberger
- Andreas Karlsson
- Aaron M. Ellison
- Geert Molenberghs
- Michael P. Austin
- John Fox
Who trusts E. Ieno overall
- Jacob C. Douma
- A. Zuur
- Harlan Campbell
- Rune Halvorsen
- Roger Mundry
- X. Harrison
- P. Acevedo
- Stefano Mammola
- J. Weedon
- Pieter T. J. Johnson
Papers from E. Ieno's perspective
Ordered by how strongly the researchers E. Ieno trusts endorse each paper. Same corpus, a different order for every researcher.
- Biodiversity and Ecosystem Functioning: Current Knowledge and Future Challenges (Science)
- Model selection and multimodel inference : a practical information-theoretic approach
- Partitioning selection and complementarity in biodiversity experiments (Nature)
- Mixed-Effects Models in S and S-Plus
- Overyielding in grassland communities: testing the sampling effect hypothesis with replicated biodiversity experiments
- Species diversity enhances ecosystem functioning through interspecific facilitation (Nature)
- Experimental Design and Data Analysis for Biologists
- Bayesian inference in ecology
- The Visual Display of Quantitative Information
- Ecological Models and Data in R
Their papers
- A protocol for data exploration to avoid common statistical problems (2010) — 7,388 citations
- A protocol for conducting and presenting results of regression‐type analyses (2016) — 667 citations
- Beginner's guide to zero-inflated models with R (2016) — 77 citations
- A Beginner’s Guide to GLM and GLMM with R: A Frequentist and Bayesian Perspective for Ecologists (2013) — 350 citations
- Zero inflated models and generalized linear mixed models with R (2012) — 250 citations
- GLM and GAM for Count Data (2009) — 126 citations
- Mixed Effects Modelling for Nested Data (2009) — 248 citations
- Comprar Mixed Effects Models and Extensions in Ecology with R | Zuur, Alain F. | 9780387874579 | Springer (2009) — 356 citations
- Mixed Effects Models and Extensions in Ecology with R (2009) — 11,288 citations
- Zero-Truncated and Zero-Inflated Models for Count Data (2009) — 326 citations
- GLM and GAM for Absence–Presence and Proportional Data (2009) — 53 citations
- GLMM Applied on the Spatial Distribution of Koalas in a Fragmented Landscape (2009) — 137 citations
- Analysing Ecological Data (2007) — 1,542 citations
- How biodiversity affects ecosystem functioning: roles of infaunal species richness, identity and density in the marine benthos (2006) — 165 citations