| Identifying the component structure of satisfaction scales by nonlinear principal components analysis M Manisera, AJ van der Kooij, E Dusseldorp Quality technology & quantitative management 7 (2), 97-115, 2010 | 120 | 2010 |
| Sensory analysis in the food industry as a tool for marketing decisions M Iannario, M Manisera, D Piccolo, P Zuccolotto Advances in Data Analysis and classification 6, 303-321, 2012 | 103 | 2012 |
| Big data analytics for modeling scoring probability in basketball: The effect of shooting under high-pressure conditions P Zuccolotto, M Manisera, M Sandri International journal of sports science & coaching 13 (4), 569-589, 2018 | 70 | 2018 |
| Component structure of job satisfaction based on Herzberg's theory M Manisera, EML Dusseldorp, AJ Van Der Kooij | 69 | 2005 |
| On the imputation of missing data in surveys with Likert-type scales M Carpita, M Manisera Journal of Classification 28, 93-112, 2011 | 68 | 2011 |
| Modeling “don’t know” responses in rating scales M Manisera, P Zuccolotto Pattern Recognition Letters 45, 226-234, 2014 | 61 | 2014 |
| Modeling rating data with nonlinear CUB models M Manisera, P Zuccolotto Computational Statistics & Data Analysis 78, 100-118, 2014 | 52 | 2014 |
| Basketball data science: With applications in R P Zuccolotto, M Manisera CRC Press, 2020 | 43 | 2020 |
| Modelling the dynamic pattern of surface area in basketball and its effects on team performance R Metulini, M Manisera, P Zuccolotto Journal of Quantitative Analysis in Sports 14 (3), 117-130, 2018 | 36 | 2018 |
| On Two Classes of Weighted Rank Correlation Measures Deriving from the Spearman’s ρ L Dancelli, M Manisera, M Vezzoli Statistical Models for Data Analysis, 107-114, 2013 | 31 | 2013 |
| Space-time analysis of movements in basketball using sensor data R Metulini, M Manisera, P Zuccolotto arXiv preprint arXiv:1707.00883, 2017 | 24 | 2017 |
| Markov switching modelling of shooting performance variability and teammate interactions in basketball M Sandri, P Zuccolotto, M Manisera Journal of the Royal Statistical Society Series C: Applied Statistics 69 (5 …, 2020 | 19 | 2020 |
| Clustering ranking data in market segmentation: a case study on the Italian McDonald's customers’ preferences E Brentari, L Dancelli, M Manisera Journal of Applied Statistics 43 (11), 1959-1976, 2016 | 19 | 2016 |
| Ordinal data models for no-opinion responses in attitude survey M Iannario, M Manisera, D Piccolo, P Zuccolotto Sociological Methods & Research 49 (1), 250-276, 2020 | 15 | 2020 |
| Sensor analytics in basketball R Metulini, M Manisera, P Zuccolotto arXiv preprint arXiv:1707.01430, 2017 | 15 | 2017 |
| Models for categorical data: a comparison between the Rasch model and Nonlinear Principal Component Analysis E Brentari, S Golia, M Manisera Vita e pensiero, 2007 | 15 | 2007 |
| Un’analisi delle relazioni tra equità, motivazione e soddisfazione per il lavoro M Carpita, M Manisera Valutare la qualità. I servizi di pubblica utilità alla persona, 311-360, 2006 | 15 | 2006 |
| Spatial performance indicators and graphs in basketball P Zuccolotto, M Sandri, M Manisera Social Indicators Research 156, 725-738, 2021 | 14 | 2021 |
| Constructing indicators of unobservable variables from parallel measurements M Carpita, M Manisera Electronic Journal of Applied Statistical Analysis 5 (3), 320-326, 2012 | 14 | 2012 |
| Nonlinear CUB models: some stylized facts. M Manisera, P Zuccolotto Nonlinear CUB models: some stylized facts., 111-130, 2013 | 13 | 2013 |
Domenico PiccoloFull Professor of StatisticsVerified email at unina.it
