| Handbook of cluster analysis C Hennig, M Meila, F Murtagh, R Rocci CRC press, 2015 | 713 | 2015 |
| Constrained monotone EM algorithms for finite mixture of multivariate Gaussians S Ingrassia, R Rocci Computational Statistics & Data Analysis 51 (11), 5339-5351, 2007 | 126 | 2007 |
| Two-mode multi-partitioning R Rocci, M Vichi Computational Statistics & Data Analysis 52 (4), 1984-2003, 2008 | 87 | 2008 |
| A mixed non‐homogeneous hidden Markov model for categorical data, with application to alcohol consumption A Maruotti, R Rocci Statistics in Medicine 31 (9), 871-886, 2012 | 70 | 2012 |
| Simultaneous component and clustering models for three-way data: within and between approaches M Vichi, R Rocci, HAL Kiers Journal of Classification 24 (1), 71-98, 2007 | 68 | 2007 |
| A general maximum likelihood analysis of measurement error in generalized linear models M Aitkin, R Rocci Statistics and Computing 12, 163-174, 2002 | 54 | 2002 |
| A mixture of mixture models for a classification problem: The unity measure error M Di Zio, U Guarnera, R Rocci Computational statistics & data analysis 51 (5), 2573-2585, 2007 | 51 | 2007 |
| Degeneracy of the EM algorithm for the MLE of multivariate Gaussian mixtures and dynamic constraints S Ingrassia, R Rocci Computational statistics & data analysis 55 (4), 1715-1725, 2011 | 46 | 2011 |
| Uniqueness of three-mode factor models with sparse cores: The 3× 3× 3 case HAL Kiers, JMF Ten Berge, R Rocci Psychometrika 62, 349-374, 1997 | 42 | 1997 |
| A New Dimension Reduction Method: Factor Discriminant K-means R Rocci, SA Gattone, M Vichi Journal of classification 28, 210-226, 2011 | 39 | 2011 |
| Typical rank and indscal dimensionality for symmetric three-way arrays of order I× 2× 2 or I× 3× 3 JMF Ten Berge, ND Sidiropoulos, R Rocci Linear Algebra and its Applications 388, 363-377, 2004 | 36 | 2004 |
| Mixture models for ordinal data: a pairwise likelihood approach M Ranalli, R Rocci Statistics and Computing 26, 529-547, 2016 | 35 | 2016 |
| A weak degeneracy revealing decomposition for the Candecomp/Parafac model R Rocci, P Giordani Journal of Chemometrics: A Journal of the Chemometrics Society 24 (2), 57-66, 2010 | 30 | 2010 |
| Rotation techniques in asymmetric multidimensional scaling R Rocci, G Bove Journal of Computational and Graphical Statistics 11 (2), 405-419, 2002 | 29 | 2002 |
| Assessing the default risk by means of a discrete‐time survival analysis approach D De Leonardis, R Rocci Applied Stochastic Models in Business and Industry 24 (4), 291-306, 2008 | 26 | 2008 |
| Three-mode component analysis with crisp or fuzzy partition of units R Rocci, M Vichi Psychometrika 70, 715-736, 2005 | 25 | 2005 |
| Mixture models for mixed-type data through a composite likelihood approach M Ranalli, R Rocci Computational Statistics & Data Analysis 110, 87-102, 2017 | 23 | 2017 |
| Clustering curves on a reduced subspace SA Gattone, R Rocci Journal of Computational and Graphical Statistics 21 (2), 361-379, 2012 | 23 | 2012 |
| Default risk analysis via a discrete‐time cure rate model D De Leonardis, R Rocci Applied Stochastic Models in Business and Industry 30 (5), 529-543, 2014 | 22 | 2014 |
| Clusterwise linear regression modeling with soft scale constraints R Di Mari, R Rocci, SA Gattone International Journal of Approximate Reasoning 91, 160-178, 2017 | 20 | 2017 |
