| Imputation with the R Package VIM A Kowarik, M Templ Journal of statistical software 74, 1-16, 2016 | 846 | 2016 |
| Cluster analysis applied to regional geochemical data: problems and possibilities M Templ, P Filzmoser, C Reimann Applied geochemistry 23 (8), 2198-2213, 2008 | 539 | 2008 |
| Applied compositional data analysis P Filzmoser, K Hron, M Templ Cham: Springer, 2018 | 469 | 2018 |
| robCompositions: an R‐package for robust statistical analysis of compositional data M Templ, K Hron, P Filzmoser Compositional data analysis: theory and applications, 341-355, 2011 | 464 | 2011 |
| Imputation of missing values for compositional data using classical and robust methods K Hron, M Templ, P Filzmoser Computational Statistics & Data Analysis 54 (12), 3095-3107, 2010 | 368 | 2010 |
| Bayesian-multiplicative treatment of count zeros in compositional data sets JA Martín-Fernández, K Hron, M Templ, P Filzmoser, ... Statistical Modelling 15 (2), 134-158, 2015 | 300 | 2015 |
| Analysis of commercial and free and open source solvers for linear optimization problems B Meindl, M Templ Eurostat and Statistics Netherlands within the project ESSnet on common …, 2012 | 236 | 2012 |
| Iterative stepwise regression imputation using standard and robust methods M Templ, A Kowarik, P Filzmoser Computational Statistics & Data Analysis 55 (10), 2793-2806, 2011 | 224 | 2011 |
| Model-based replacement of rounded zeros in compositional data: classical and robust approaches JA Martín-Fernández, K Hron, M Templ, P Filzmoser, ... Computational Statistics & Data Analysis 56 (9), 2688-2704, 2012 | 221 | 2012 |
| Simplicial principal component analysis for density functions in Bayes spaces K Hron, A Menafoglio, M Templ, K Hrůzová, P Filzmoser Computational Statistics & Data Analysis 94, 330-350, 2016 | 159 | 2016 |
| Exploring incomplete data using visualization techniques M Templ, A Alfons, P Filzmoser Advances in Data Analysis and Classification 6 (1), 29-47, 2012 | 159 | 2012 |
| Statistical disclosure control for micro-data using the R package sdcMicro M Templ, A Kowarik, B Meindl Journal of Statistical Software 67, 1-36, 2015 | 154 | 2015 |
| Comparison of zero replacement strategies for compositional data with large numbers of zeros S Lubbe, P Filzmoser, M Templ Chemometrics and Intelligent Laboratory Systems 210, 104248, 2021 | 147 | 2021 |
| VIM: visualization and imputation of missing values M Templ, A Kowarik, A Alfons, G de Cillia, W Rannetbauer | 136 | 2022 |
| Statistical disclosure control for microdata using the R-package sdcMicro M Templ na, 2008 | 127 | 2008 |
| Estimation of social exclusion indicators from complex surveys: The R package laeken A Alfons, M Templ Journal of Statistical Software 54, 1-25, 2013 | 121 | 2013 |
| Simulation of synthetic complex data: The R package simPop M Templ, B Meindl, A Kowarik, O Dupriez Journal of Statistical Software 79, 1-38, 2017 | 109 | 2017 |
| Statistical disclosure control for microdata M Templ Cham: Springer, 2017 | 105 | 2017 |
| Simulation of close-to-reality population data for household surveys with application to EU-SILC A Alfons, S Kraft, M Templ, P Filzmoser Statistical Methods & Applications 20 (3), 383-407, 2011 | 104 | 2011 |
| The R package emdi for estimating and mapping regionally disaggregated indicators AK Kreutzmann, S Pannier, N Rojas-Perilla, T Schmid, M Templ, ... Journal of Statistical Software 91, 1-33, 2019 | 89 | 2019 |
Peter FilzmoserProfessor of Statistics, TU WienVerified email at tuwien.ac.at
