Eric J. Ward

Ecology · 2008–2018

A researcher in the Science corpus: 15 papers; trusts 34 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 99 citations into it; #1,044 of 10,717 by trust here, #3,054 by citations
• Global and Planetary Change — 55 citations into it; #6,064 of 10,225 by trust here, #7,711 by citations
• Nature and Landscape Conservation — 53 citations into it; #869 of 6,941 by trust here, #4,494 by citations
• Statistics and Probability — 42 citations into it
• Ecological Modeling — 31 citations into it; #371 of 2,530 by trust here, #1,757 by citations
• Artificial Intelligence — 25 citations into it
• Atmospheric Science — 23 citations into it
• Genetics — 17 citations into it

Whom Eric J. Ward trusts overall

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

1. S. Richards
2. K. Burnham
3. Steven Lindley
4. Rob J Hyndman
5. Alan Y. Chiang
6. Robert E. Kass
7. Andrew Gelman
8. John K. B. Ford
9. William S. Cleveland
10. R. Froese

Who trusts Eric J. Ward overall

1. L. Garamszegi
2. H. Wagner
3. M. Wilberg
4. Marie-Josée Fortin
5. J. Bence
6. Elizabeth E. Holmes
7. J. Thorson
8. K. Balcomb
9. D. Phillips
10. D. Noren

Papers from Eric J. Ward's perspective

Ordered by how strongly the researchers Eric J. Ward trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bayesian measures of model complexity and fit
2. Bayesian data analysis.
3. Information Theory and an Extension of the Maximum Likelihood Principle
4. Bayes factors
5. Estimating the Dimension of a Model
6. Ecological and Evolutionary Responses to Recent Climate Change
7. JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling
8. CODA: convergence diagnosis and output analysis for MCMC
9. Zero tolerance ecology: improving ecological inference by modelling the source of zero observations. (Ecology Letters)
10. Feeding ecology of eastern North Pacific killer whales Orcinus orca from fatty acid, stable isotope, and organochlorine analyses of blubber biopsies

Their papers

• Demographic changes in Chinook salmon across the Northeast Pacific Ocean (2018) — 117 citations
• Analyzing mixing systems using a new generation of Bayesian tracer mixing models (2018) — 1,272 citations
• Model‐based inference for estimating shifts in species distribution, area occupied and centre of gravity (2016) — 115 citations
• Conservation Challenges of Predator Recovery (2016) — 118 citations
• Best practices for use of stable isotope mixing models in food-web studies (2014) — 1,140 citations
• Spatial semiparametric models improve estimates of species abundance and distribution (2014) — 147 citations
• Complexity is costly: a meta‐analysis of parametric and non‐parametric methods for short‐term population forecasting (2014) — 120 citations
• Accounting for space–time interactions in index standardization models (2013) — 52 citations
• Bayesian stable isotope mixing models (2012) — 967 citations
• MARSS: Multivariate Autoregressive State-space Models for Analyzing Time-series Data (2012) — 302 citations
• A quantitative approach to combine sources in stable isotope mixing models (2011) — 59 citations
• Factors influencing the relative fitness of hatchery and wild spring Chinook salmon (Oncorhynchus tshawytscha) in the Wenatchee River, Washington, USA (2010) — 83 citations
• Inferring spatial structure from time‐series data: using multivariate state‐space models to detect metapopulation structure of California sea lions in the Gulf of California, Mexico (2010) — 96 citations
• Quantifying the effects of prey abundance on killer whale reproduction (2009) — 163 citations
• A review and comparison of four commonly used Bayesian and maximum likelihood model selection tools (2008) — 194 citations