| Trimmed -means: an attempt to robustify quantizers JA Cuesta-Albertos, A Gordaliza, C Matrán The Annals of Statistics 25 (2), 553-576, 1997 | 400 | 1997 |
| A general trimming approach to robust cluster analysis LA García-Escudero, A Gordaliza, C Matrán, A Mayo-Iscar | 307 | 2008 |
| A review of robust clustering methods LA García-Escudero, A Gordaliza, C Matrán, A Mayo-Iscar Advances in Data Analysis and Classification 4, 89-109, 2010 | 257 | 2010 |
| Robustness Properties of k Means and Trimmed k Means LA Garcia-Escudero, A Gordaliza Journal of the American Statistical Association 94 (447), 956-969, 1999 | 247 | 1999 |
| A proposal for robust curve clustering LA Garcia-Escudero, A Gordaliza Journal of classification 22 (2), 185-201, 2005 | 146 | 2005 |
| A bellboy robot: Study of the effects of robot behaviour on user engagement and comfort E Rodriguez-Lizundia, S Marcos, E Zalama, J Gómez-García-Bermejo, ... International Journal of Human-Computer Studies 82, 83-95, 2015 | 142 | 2015 |
| Robust clusterwise linear regression through trimming LA García-Escudero, A Gordaliza, A Mayo-Iscar, R San Martín Computational Statistics & Data Analysis 54 (12), 3057-3069, 2010 | 100 | 2010 |
| Exploring the number of groups in robust model-based clustering LA García-Escudero, A Gordaliza, C Matrán, A Mayo-Iscar Statistics and Computing 21 (4), 585-599, 2011 | 97 | 2011 |
| Multivariate L-estimation R Fraiman, J Meloche, LA García-Escudero, A Gordaliza, X He, ... Test 8, 255-317, 1999 | 96 | 1999 |
| Trimming tools in exploratory data analysis LA García-Escudero, A Gordaliza, C Matrán Journal of Computational and Graphical Statistics 12 (2), 434-449, 2003 | 95 | 2003 |
| Best approximations to random variables based on trimming procedures A Gordaliza Journal of Approximation Theory 64 (2), 162-180, 1991 | 87 | 1991 |
| Robust linear clustering LA García-Escudero, A Gordaliza, R San Martin, S Van Aelst, R Zamar Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 61 | 2009 |
| Avoiding spurious local maximizers in mixture modeling LA García-Escudero, A Gordaliza, C Matrán, A Mayo-Iscar Statistics and Computing 25, 619-633, 2015 | 50 | 2015 |
| A central limit theorem for multivariate generalized trimmed k-means LA García-Escudero, A Gordaliza, C Matrán Annals of statistics, 1061-1079, 1999 | 40 | 1999 |
| Robust estimation of mixtures of regressions with random covariates, via trimming and constraints LA García-Escudero, A Gordaliza, F Greselin, S Ingrassia, A Mayo-Íscar Statistics and Computing 27, 377-402, 2017 | 35 | 2017 |
| A constrained robust proposal for mixture modeling avoiding spurious solutions LA García-Escudero, A Gordaliza, A Mayo-Íscar Advances in Data Analysis and Classification 8 (1), 27-43, 2014 | 34 | 2014 |
| On the breakdown point of multivariate location estimators based on trimming procedures A Gordaliza Statistics & Probability Letters 11 (5), 387-394, 1991 | 32 | 1991 |
| Entender y combatir la desinformación sobre ciencia y salud R Salaverría-Aliaga Ministerio de Ciencia e Innovación, 2021 | 28 | 2021 |
| Geometric road design factors affecting the risk of urban run-off crashes. A case-control study P Álvarez, MA Fernández, A Gordaliza, A Mansilla, A Molinero PLoS one 15 (6), e0234564, 2020 | 26 | 2020 |
| The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers LA García-Escudero, A Gordaliza, F Greselin, S Ingrassia, A Mayo-Iscar Computational Statistics & Data Analysis 99, 131-147, 2016 | 26 | 2016 |