| Synthesis of multi-indicator system over time: A poset-based approach LS Alaimo, A Arcagni, M Fattore, F Maggino Social Indicators Research 157 (1), 77-99, 2021 | 49 | 2021 |
| Measuring equitable and sustainable well-being in Italian regions: The non-aggregative approach LS Alaimo, A Arcagni, M Fattore, F Maggino, V Quondamstefano Social Indicators Research, 1-23, 2020 | 42 | 2020 |
| Multidimensional analysis of deprivation and fragility patterns of migrants in Lombardy, using partially ordered sets and self-organizing maps A Arcagni, E Barbiano di Belgiojoso, M Fattore, SML Rimoldi Social Indicators Research 141, 551-579, 2019 | 39 | 2019 |
| The graphical representation of inequality A Arcagni, F Porro Revista Colombiana de estadistica 37 (2), 419-437, 2014 | 33 | 2014 |
| PARSEC: An R package for poset-based evaluation of multidimensional poverty M Fattore, A Arcagni Multi-indicator systems and modelling in partial order, 317-330, 2014 | 33 | 2014 |
| A reduced posetic approach to the measurement of multidimensional ordinal deprivation M Fattore, A Arcagni Social Indicators Research 136, 1053-1070, 2018 | 28 | 2018 |
| Higher order assortativity in complex networks A Arcagni, R Grassi, S Stefani, A Torriero European Journal of Operational Research 262 (2), 708-719, 2017 | 28 | 2017 |
| Exploiting ordinal data for subjective well-being evaluation M Fattore, F Maggino, A Arcagni Statistics in Transition new series 16 (3), 409-428, 2015 | 22 | 2015 |
| On the parameters of Zenga distribution A Arcagni, F Porro Statistical Methods & Applications 22, 285-303, 2013 | 21 | 2013 |
| Application of Zenga’s distribution to a panel survey on household incomes of European Member States A Arcagni Statistica & Applicazioni 11 (1), 79-102, 2013 | 18 | 2013 |
| F-FOD: Fuzzy first order dominance analysis and populations ranking over ordinal multi-indicator systems M Fattore, A Arcagni Social Indicators Research 144, 1-29, 2019 | 14 | 2019 |
| Social and material vulnerability of the Italian municipalities: comparing alternative approaches SML Rimoldi, A Arcagni, M Fattore, L Terzera Social Indicators Research, 1-18, 2020 | 13 | 2020 |
| Effects of competition and cooperation interaction between agents on networks in the presence of a market capacity A Sonubi, A Arcagni, S Stefani, M Ausloos Physical Review E 94 (2), 022303, 2016 | 13 | 2016 |
| On the decomposition by sources of the Zenga 1984 point and synthetic inequality indexes A Arcagni Statistical Methods & Applications 26 (1), 113-133, 2017 | 11 | 2017 |
| Some critical reflections on the measurement of social sustainability and well-being in complex societies A Arcagni, M Fattore, F Maggino, G Vittadini Sustainability 13 (22), 12679, 2021 | 10 | 2021 |
| Visualizing partially ordered sets for socioeconomic analysis M Fattore, A Arcagni, S Barberis Revista Colombiana de Estadística 37 (2), 437-450, 2014 | 10 | 2014 |
| Dynamical phase diagrams of a love capacity constrained prey–predator model PT Simin, GR Jafari, M Ausloos, CF Caiafa, F Caram, A Sonubi, A Arcagni, ... The European Physical Journal B 91, 1-18, 2018 | 9 | 2018 |
| Measuring structural dissimilarity between finite partial orders M Fattore, R Grassi, A Arcagni Multi-indicator systems and modelling in partial order, 69-84, 2013 | 9 | 2013 |
| Targeting policies for multidimensional poverty and social fragility relief among migrants in Italy, using F-FOD analysis SML Rimoldi, A Arcagni, M Fattore, E Barbiano di Belgiojoso Social Indicators Research 157, 57-75, 2021 | 8 | 2021 |
| Optimal scoring of partially ordered data, with an application to the ranking of smart cities M Fattore, A Arcagni, F Maggino Smart Statistics for Smart Applications-Book of Short Papers SIS 2019, 855-860, 2019 | 8 | 2019 |
Luca BagnatoAssociate ProfessorEmail verificata su unicatt.it
