| Models for stationary max-stable random fields M Schlather Extremes 5 (1), 33-44, 2002 | 492 | 2002 |
| Stochastic models that separate fractal dimension and the Hurst effect T Gneiting, M Schlather SIAM review 46 (2), 269-282, 2004 | 420 | 2004 |
| Stationary max-stable fields associated to negative definite functions Z Kabluchko, M Schlather, L De Haan The Annals of Probability 37 (5), 2042-2065, 2009 | 393 | 2009 |
| Matérn cross-covariance functions for multivariate random fields T Gneiting, W Kleiber, M Schlather Journal of the American Statistical Association 105 (491), 1167-1177, 2010 | 372 | 2010 |
| A dependence measure for multivariate and spatial extreme values: Properties and inference M Schlather, JA Tawn Biometrika 90 (1), 139-156, 2003 | 315 | 2003 |
| Using whole-genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster U Ober, JF Ayroles, EA Stone, S Richards, D Zhu, RA Gibbs, C Stricker, ... PLoS Genet 8 (5), e1002685, 2012 | 187 | 2012 |
| Analysis, simulation and prediction of multivariate random fields with package random fields M Schlather, A Malinowski, PJ Menck, M Oesting, K Strokorb Journal of Statistical Software 63 (8), 1-25, 2015 | 144 | 2015 |
| Detecting dependence between marks and locations of marked point processes M Schlather, PJ Ribeiro Jr, PJ Diggle Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2004 | 141 | 2004 |
| Assessment of chemical water types and their spatial variation using multi-stage cluster analysis, Queensland, Australia VH McNeil, ME Cox, M Preda Journal of Hydrology 310 (1-4), 181-200, 2005 | 131 | 2005 |
| Simulation and analysis of random fields M Schlather R news 1 (2), 18-20, 2001 | 120 | 2001 |
| Estimation of hüsler–reiss distributions and brown–resnick processes S Engelke, A Malinowski, Z Kabluchko, M Schlather Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2015 | 109 | 2015 |
| RandomFields: simulation and analysis of random fields M Schlather, P Menck, R Singleton, RC Team R package version 2, 66, 2013 | 97 | 2013 |
| An introduction to positive definite functions and to unconditional simulation of random fields M Schlather Technical report st 99-10, Dept. of Mathematics and Statistics, Lancaster …, 1999 | 90 | 1999 |
| Analysing flow patterns from dye tracer experiments in a forest soil using extreme value statistics C Bogner, B Wolf, M Schlather, B Huwe European Journal of Soil Science 59 (1), 103-113, 2008 | 80 | 2008 |
| Simulation of Brown–Resnick processes M Oesting, Z Kabluchko, M Schlather Extremes 15 (1), 89-107, 2012 | 79 | 2012 |
| Fast and Exact Simulation of Large Gaussian Lattice Systems in ℝ2: Exploring the Limits T Gneiting, H Ševčíková, DB Percival, M Schlather, Y Jiang Journal of Computational and Graphical Statistics 15 (3), 483-501, 2006 | 78 | 2006 |
| Analogies and correspondences between variograms and covariance functions T Gneiting, Z Sasvári, M Schlather Advances in Applied Probability, 617-630, 2001 | 78 | 2001 |
| Interpolation of spatial data–A stochastic or a deterministic problem? M Scheuerer, R Schaback, M Schlather European Journal of Applied Mathematics 24 (04), 601-629, 2013 | 73 | 2013 |
| Inequalities for the extremal coefficients of multivariate extreme value distributions M Schlather, J Tawn Extremes 5 (1), 87-102, 2002 | 64 | 2002 |
| On the second-order characteristics of marked point processes M Schlather Bernoulli 7 (1), 99-117, 2001 | 63 | 2001 |
