| Cluster Analysis for mixed data: An application to credit risk evaluation G Caruso, SA Gattone, F Fortuna, T Di Battista Socio-Economic Planning Sciences 73, 100850, 2021 | 79 | 2021 |
| Environmental monitoring through functional biodiversity tools T Di Battista, F Fortuna, F Maturo Ecological Indicators 60, 237-247, 2016 | 59 | 2016 |
| A functional approach to diversity profiles SA Gattone, TD Battista Journal of the Royal Statistical Society Series C: Applied Statistics 58 (2 …, 2009 | 45 | 2009 |
| BioFTF: An R package for biodiversity assessment with the functional data analysis approach T Di Battista, F Fortuna, F Maturo Ecological Indicators 73, 726-732, 2017 | 40 | 2017 |
| Volatility modeling: an overview of equity markets in the euro area during COVID-19 Pandemic P Duttilo, SA Gattone, T Di Battista Mathematics 9 (11), 1212, 2021 | 37 | 2021 |
| A functional approach to Hill's numbers for assessing changes in species variety of ecological communities over time F Maturo, T Di Battista Ecological Indicators 84, 70-81, 2018 | 36 | 2018 |
| Cluster analysis as a decision-making tool: a methodological review G Caruso, SA Gattone, F Fortuna, T Di Battista Decision Economics: In the Tradition of Herbert A. Simon's Heritage …, 2018 | 32 | 2018 |
| Cluster analysis: An application to a real mixed-type data set G Caruso, SA Gattone, A Balzanella, T Di Battista Models and Theories in Social Systems, 525-533, 2019 | 30 | 2019 |
| Parametric functional analysis of variance for fish biodiversity assessment T Di Battista, F Fortuna, F Maturo Journal of Environmental Informatics 28 (2), 101-109, 2016 | 27 | 2016 |
| Clustering functional data streams: Unsupervised classification of soccer top players based on Google trends F Fortuna, F Maturo, T Di Battista Quality and Reliability Engineering International 34 (7), 1448-1460, 2018 | 26 | 2018 |
| Assessing social interest in burnout using Google Trends data AM Aguilera, F Fortuna, M Escabias, T Di Battista Social Indicators Research 156, 587-599, 2021 | 22 | 2021 |
| Adaptive cluster sampling with a data driven stopping rule SA Gattone, T Di Battista Statistical Methods & Applications 20, 1-21, 2011 | 22 | 2011 |
| Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic C Acal, AM Aguilera, A Sarra, A Evangelista, T Di Battista, S Palermi Stochastic Environmental Research and Risk Assessment 36 (4), 1083-1101, 2022 | 19 | 2022 |
| Multivariate bootstrap confidence regions for abundance vector using TD Battista, SA Gattone Environmental and Ecological Statistics 11, 355-365, 2004 | 19 | 2004 |
| Non‐parametric tests and confidence regions for intrinsic diversity profiles of ecological populations T Di Battista, SA Gattone Environmetrics: The official journal of the International Environmetrics …, 2003 | 18 | 2003 |
| Testing equality of functions across multiple experimental conditions for different ability levels in the IRT context: the case of the IPRASE TLT 2016 Survey F Maturo, F Fortuna, T Di Battista Social Indicators Research 146, 19-39, 2019 | 17 | 2019 |
| Parametric functional analysis of variance for fish biodiversity T Di Battista, F Fortuna, F Maturo Proceedings of the International Conference on Marine and Freshwater …, 2014 | 17 | 2014 |
| Functional analysis for parametric families of functional data A De Sanctis, T Di Battista International Journal of Bifurcation and Chaos 22 (09), 1250226, 2012 | 16 | 2012 |
| Assessing biodiversity profile through FDA T Di Battista, F Fortuna Statistica 73 (1), 69-85, 2013 | 15 | 2013 |
| Resampling methods for estimating dispersion indices in random and adaptive designs TD Battista Environmental and Ecological Statistics 10, 83-93, 2003 | 15 | 2003 |
stefano antonio gattoneAssistant Professor in Statistics, Tor Vergata University, RomeVerified email at unich.it
