Brian R. Cullis

Statistics and Probability · 1990–2018

A researcher in the Science corpus: 14 papers; trusts 19 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 14 citations into it; #7,471 of 12,932 by trust here, #6,080 by citations
• Plant Science — 6 citations into it; #379 of 8,232 by trust here, #1,787 by citations
• Environmental Engineering — 5 citations into it; #1,428 of 5,479 by trust here, #1,772 by citations

Whom Brian R. Cullis trusts overall

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

1. Alison B. Smith
2. David Ruppert
3. Robin Thompson
4. Eric R. Ziegel
5. Matt P. Wand
6. A. R. Gilmour
7. Michael E. Hohn
8. Iain D. Currie
9. Sue J. Welham
10. Arthur P. Dempster

Who trusts Brian R. Cullis overall

1. Alison B. Smith
2. Hans-Peter Piepho
3. S. Ceccarelli
4. Sue J. Welham
5. A. Kelly
6. Isadora Cristina Martins Oliveira
7. Nicolas Heslot
8. R. M. Lark
9. A. R. Gilmour
10. Jens Möhring

Papers from Brian R. Cullis's perspective

Ordered by how strongly the researchers Brian R. Cullis trusts endorse each paper. Same corpus, a different order for every researcher.

1. Nonparametric regression and generalized linear models
2. Mixed-Effects Models in S and S-Plus
3. Smoothing and mixed models (Computational statistics (Zeitschrift))
4. Theory & Methods: Spatially‐adaptive Penalties for Spline Fitting
5. Linear Mixed Models for Longitudinal Data (Technometrics)
6. A Practical Guide to Splines
7. The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches (Journal of Agricultural Sciences)
8. Applications: The Analysis of Crop Variety Evaluation Data in Australia
9. Introduction to Quantitative Genetics (Quantitative Genetics)
10. The accuracy of varietal selection using factor analytic models for multi-environment plant breeding trials

Their papers

• A COMPARISON OF MIXED MODEL SPLINES FOR CURVE FITTING (2007) — 90 citations
• The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches (2005) — 556 citations
• On the design of early generation variety trials with correlated data (2006) — 792 citations
• Prediction in linear mixed models (2004) — 112 citations
• A Sparse Implementation of the Average Information Algorithm for Factor Analytic and Reduced Rank Variance Models (2003) — 113 citations
• On spatial prediction of soil properties in the presence of a spatial trend: the empirical best linear unbiased predictor (E‐BLUP) with REML (2006) — 268 citations
• The accuracy of varietal selection using factor analytic models for multi-environment plant breeding trials (2007) — 175 citations
• Plant breeding selection tools built on factor analytic mixed models for multi-environment trial data (2018) — 126 citations
• A COMPARISON OF ANALYSIS METHODS FOR LATE‐STAGE VARIETY EVALUATION TRIALS (2010) — 92 citations
• The design and analysis of multi-phase plant breeding experiments (2006) — 108 citations
• Reliability of higher seeding rates of wheat for increased competitiveness with weeds in low rainfall environments (2004) — 124 citations
• ASREML user guide release 1.0 (2002) — 2,975 citations
• Applications: The Analysis of Crop Variety Evaluation Data in Australia (2001) — 224 citations
• Modelling in Repeated Measures Experiments (1990)