| A general and simple method for obtaining R2 from generalized linear mixed‐effects models S Nakagawa, H Schielzeth Methods in Ecology and Evolution 4 (2), 133-142, 2013 | 9365 | 2013 |
| Simple means to improve the interpretability of regression coefficients H Schielzeth Methods in Ecology and Evolution 1 (2), 103-113, 2010 | 2596 | 2010 |
| Repeatability for Gaussian and non‐Gaussian data: a practical guide for biologists S Nakagawa, H Schielzeth Biological Reviews 85 (4), 935-956, 2010 | 2380 | 2010 |
| The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded S Nakagawa, PCD Johnson, H Schielzeth Journal of The Royal Society Interface 14 (134), 20170213, 2017 | 2017 | 2017 |
| rptR: repeatability estimation and variance decomposition by generalized linear mixed‐effects models MA Stoffel, S Nakagawa, H Schielzeth Methods in Ecology and Evolution 8 (11), 1639-1644, 2017 | 1242 | 2017 |
| Cryptic multiple hypotheses testing in linear models: overestimated effect sizes and the winner's curse W Forstmeier, H Schielzeth Behavioral Ecology and Sociobiology 65 (1), 47-55, 2011 | 941 | 2011 |
| Conclusions beyond support: overconfident estimates in mixed models H Schielzeth, W Forstmeier Behavioral Ecology 20 (2), 416-420, 2009 | 868 | 2009 |
| Robustness of linear mixed‐effects models to violations of distributional assumptions H Schielzeth, NJ Dingemanse, S Nakagawa, DF Westneat, H Allegue, ... Methods in Ecology and Evolution 11 (9), 1141-1152, 2020 | 640 | 2020 |
| Nested by design: model fitting and interpretation in a mixed model era H Schielzeth, S Nakagawa Methods in Ecology and Evolution 4 (1), 14-24, 2013 | 304 | 2013 |
| Urbanization and its effects on personality traits: a result of microevolution or phenotypic plasticity? AC Miranda, H Schielzeth, T Sonntag, J Partecke Global Change Biology 19 (9), 2634-2644, 2013 | 276 | 2013 |
| The recombination landscape of the zebra finch Taeniopygia guttata genome N Backström, W Forstmeier, H Schielzeth, H Mellenius, K Nam, E Bolund, ... Genome Research 20 (4), 485-495, 2010 | 229 | 2010 |
| Reproducibility of animal research in light of biological variation B Voelkl, NS Altman, A Forsman, W Forstmeier, J Gurevitch, I Jaric, ... Nature Reviews Neuroscience 21 (7), 384-393, 2020 | 220 | 2020 |
| Heterozygosity–fitness correlations in zebra finches: microsatellite markers can be better than their reputation W Forstmeier, H Schielzeth, JC Mueller, H Ellegren, B Kempenaers Molecular Ecology 21 (13), 3237-3249, 2012 | 182 | 2012 |
| General Methods for Evolutionary Quantitative Genetic Inference from Generalized Mixed Models P de Villemereuil, H Schielzeth, S Nakagawa, M Morrissey Genetics 204 (3), 1281-1294, 2016 | 175 | 2016 |
| Female extrapair mating behavior can evolve via indirect selection on males W Forstmeier, K Martin, E Bolund, H Schielzeth, B Kempenaers Proceedings of the National Academy of Sciences 108 (26), 10608-10613, 2011 | 169 | 2011 |
| Quantifying the predictability of behaviour: statistical approaches for the study of between‐individual variation in the within‐individual variance IR Cleasby, S Nakagawa, H Schielzeth Methods in Ecology and Evolution 6 (1), 27-37, 2015 | 148 | 2015 |
| Changing philosophies and tools for statistical inferences in behavioral ecology LZ Garamszegi, S Calhim, N Dochtermann, G Hegyi, PL Hurd, ... Behavioral Ecology 20 (6), 1363-1375, 2009 | 147 | 2009 |
| Molecular evolution of genes in avian genomes K Nam, C Mugal, B Nabholz, H Schielzeth, JBW Wolf, N Backström, ... Genome Biology 11, R68, 2010 | 138 | 2010 |
| partR2: Partitioning R2 in generalized linear mixed models MA Stoffel, S Nakagawa, H Schielzeth PeerJ 9, e11414, 2021 | 137 | 2021 |
| A multitrophic perspective on biodiversity–ecosystem functioning research N Eisenhauer, H Schielzeth, AD Barnes, KE Barry, A Bonn, U Brose, ... Advances in ecological research 61, 1-54, 2019 | 129 | 2019 |
Shinichi NakagawaUniversity of New South WalesVerified email at unsw.edu.au
