Steven G. Luke

Cognitive Neuroscience · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 18 citations into it
• Human-Computer Interaction — 14 citations into it
• Statistics and Probability — 10 citations into it; #6,748 of 12,932 by trust here, #10,855 by citations
• Experimental and Cognitive Psychology — 9 citations into it
• Developmental and Educational Psychology — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Sensory Systems — 5 citations into it

Whom Steven G. Luke trusts overall

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

1. Henrik Singmann
2. Walter W. Stroup
3. U. Halekoh
4. Douglas M. Bates
5. R. Harald Baayen
6. Lawrence D. Brown
7. Dale J. Barr
8. Alexandra Kuznetsova
9. Benjamin M. Bolker
10. Søren Højsgaard

Who trusts Steven G. Luke overall

1. S. Formica
2. Carlos González-García
3. M. Senoussi
4. D. Marinazzo

Papers from Steven G. Luke's perspective

Ordered by how strongly the researchers Steven G. Luke trusts endorse each paper. Same corpus, a different order for every researcher.

1. Mixed-Effects Models in S and S-Plus
2. Mixed-effects modeling with crossed random effects for subjects and items
3. Fitting Linear Mixed-Effects Models Using lme4
4. A Kenward-Roger approximation and parametric bootstrap methods for tests in linear mixed models: The R Package pbkrtest
5. Eye movements in reading and information processing: 20 years of research.
6. Random effects structure for confirmatory hypothesis testing: Keep it maximal (Journal of Memory and Language)
7. R: A language and environment for statistical computing.
8. Adequacy of approximations to distributions of test statistics in complex mixed linear models
9. Computational modelling of visual attention
10. Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search.

Their papers

• Evaluating significance in linear mixed-effects models in R (2016) — 1,577 citations
• Best practices in eye tracking research. (2020) — 525 citations