| SoilGrids250m: Global gridded soil information based on machine learning T Hengl, J Mendes de Jesus, GBM Heuvelink, M Ruiperez Gonzalez, ... PLoS one 12 (2), e0169748, 2017 | 2488 | 2017 |
| ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R MN Wright, A Ziegler Journal of Statistical Software 77 (1), 1-17, 2017 | 2314 | 2017 |
| Hyperparameters and tuning strategies for random forest P Probst, MN Wright, AL Boulesteix Wiley Interdisciplinary Reviews: data mining and knowledge discovery 9 (3 …, 2019 | 1008 | 2019 |
| Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables T Hengl, M Nussbaum, MN Wright, GBM Heuvelink, B Gräler PeerJ 6, e5518, 2018 | 509 | 2018 |
| The revival of the Gini importance? S Nembrini, IR König, MN Wright Bioinformatics 34 (21), 3711-3718, 2018 | 455 | 2018 |
| Unbiased split variable selection for random survival forests using maximally selected rank statistics MN Wright, T Dankowski, A Ziegler Statistics in medicine 36 (8), 1272-1284, 2017 | 161 | 2017 |
| Do little interactions get lost in dark random forests? MN Wright, A Ziegler, IR König BMC bioinformatics 17, 1-10, 2016 | 121 | 2016 |
| Clinical presentation and long-term outcome of 144 patients with microscopic polyangiitis in a monocentric German cohort JH Schirmer, MN Wright, R Vonthein, K Herrmann, B Nölle, M Both, ... Rheumatology 55 (1), 71-79, 2016 | 118 | 2016 |
| Myeloperoxidase–antineutrophil cytoplasmic antibody (ANCA)–positive granulomatosis with polyangiitis (Wegener's) is a clinically distinct subset of ANCA‐associated vasculitis … JH Schirmer, MN Wright, K Herrmann, M Laudien, B Nölle, ... Arthritis & Rheumatology 68 (12), 2953-2963, 2016 | 109 | 2016 |
| On the use of Harrell’s C for clinical risk prediction via random survival forests M Schmid, MN Wright, A Ziegler Expert Systems with Applications 63, 450-459, 2016 | 95 | 2016 |
| Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables, PeerJ, 6, e5518 T Hengl, M Nussbaum, MN Wright, GBM Heuvelink, B Gräler | 89 | 2018 |
| Ranger: A fast implementation of random forests MN Wright, S Wager, P Probst R package version 0.12 1, 2020 | 74 | 2020 |
| grf: Generalized random forests J Tibshirani, S Athey, S Wager, R Friedberg, L Miner, M Wright R package version 1 (0), 7.3, 2020 | 70 | 2020 |
| Low-level mitochondrial heteroplasmy modulates DNA replication, glucose metabolism and lifespan in mice M Hirose, P Schilf, Y Gupta, K Zarse, A Künstner, A Fähnrich, H Busch, ... Scientific reports 8 (1), 5872, 2018 | 32 | 2018 |
| Block forests: random forests for blocks of clinical and omics covariate data R Hornung, MN Wright BMC bioinformatics 20, 1-17, 2019 | 30 | 2019 |
| Splitting on categorical predictors in random forests MN Wright, IR König PeerJ 7, e6339, 2019 | 27 | 2019 |
| Polygenic risk for obesity and its interaction with lifestyle and sociodemographic factors in European children and adolescents A Hüls, MN Wright, LH Bogl, J Kaprio, L Lissner, D Molnár, LA Moreno, ... International Journal of Obesity 45 (6), 1321-1330, 2021 | 24 | 2021 |
| Relating the partial dependence plot and permutation feature importance to the data generating process C Molnar, T Freiesleben, G König, G Casalicchio, MN Wright, B Bischl arXiv preprint arXiv:2109.01433, 2021 | 23 | 2021 |
| Testing conditional independence in supervised learning algorithms DS Watson, MN Wright Machine Learning, 1-23, 2021 | 23 | 2021 |
| Statistical learning approaches in the genetic epidemiology of complex diseases AL Boulesteix, MN Wright, S Hoffmann, IR König Human genetics 139, 73-84, 2020 | 20 | 2020 |
