| Measuring distribution similarities between samples: a distribution-free overlapping index M Pastore, A Calcagnì Frontiers in Psychology 10, 2019 | 232 | 2019 |
| Are children with developmental dyslexia all the same? A cluster analysis with more than 300 cases D Giofrè, E Toffalini, S Provazza, A Calcagnì, G Altoè, DJ Roberts Dyslexia 25 (3), 284-295, 2019 | 50 | 2019 |
| Analyzing spatial data from mouse tracker methodology: An entropic approach A Calcagnì, L Lombardi, S Sulpizio Behavior Research Methods, 1-19, 2017 | 50 | 2017 |
| Can mentoring promote self-esteem and school connectedness? An evaluation of the mentor-UP project C Marino, M Santinello, M Lenzi, P Santoro, M Bergamin, M Gaboardi, ... Psychosocial Intervention 29 (1), 2020 | 46 | 2020 |
| Enhancing statistical inference in psychological research via prospective and retrospective design analysis G Altoè, G Bertoldo, C Zandonella Callegher, E Toffalini, A Calcagnì, ... Frontiers in Psychology 10, 499756, 2020 | 38 | 2020 |
| Dynamic Fuzzy Rating Tracker (DYFRAT): A novel methodology for modeling real-time dynamic cognitive processes in rating scales A Calcagnì, L Lombardi Applied Soft Computing 24 (1), 948-961, 2014 | 34 | 2014 |
| Factors associated with providers’ work engagement and burnout in homeless services: A cross‐national study M Lenzi, M Santinello, M Gaboardi, F Disperati, A Vieno, A Calcagnì, ... American Journal of Community Psychology 67 (1-2), 220-236, 2021 | 33 | 2021 |
| A generalized maximum entropy (GME) estimation approach to fuzzy regression model E Ciavolino, A Calcagnì Applied Soft Computing 38, 51-63, 2016 | 30 | 2016 |
| Generalized cross entropy method for analysing the SERVQUAL model E Ciavolino, A Calcagnì Journal of Applied Statistics 42 (3), 520-534, 2015 | 30 | 2015 |
| Less is more: Morphometric and psychological differences between low and high reappraisers E Pappaianni, N De Pisapia, R Siugzdaite, C Crescentini, A Calcagnì, ... Cognitive, Affective, & Behavioral Neuroscience 20, 128-140, 2020 | 19 | 2020 |
| Using Z and age‐equivalent scores to address WISC‐IV floor effects for children with intellectual disability E Toffalini, S Buono, T Zagaria, A Calcagnì, C Cornoldi Journal of Intellectual Disability Research 63 (6), 528-538, 2019 | 19 | 2019 |
| Obstructive sleep apnea syndrome and olfactory perception: An OERP study S Invitto, A Calcagnì, G Piraino, V Ciccarese, M Balconi, M De Tommaso, ... Respiratory Physiology & Neurobiology 259, 37-44, 2019 | 16 | 2019 |
| A fuzzy set theory based computational model to represent the quality of inter-rater agreement E Ciavolino, S Salvatore, A Calcagnì Quality & Quantity 48 (4), 2225-2240, 2014 | 16 | 2014 |
| Abnormal visual attention to simple social stimuli in 4-month-old infants at high risk for Autism E Di Giorgio, O Rosa-Salva, E Frasnelli, A Calcagnì, M Lunghi, ... Scientific reports 11 (1), 15785, 2021 | 15 | 2021 |
| A generalized maximum entropy (GME) approach for crisp-input/fuzzy-output regression model E Ciavolino, A Calcagnì Quality & Quantity 48 (6), 3401-3414, 2014 | 14 | 2014 |
| A psychometric modeling approach to fuzzy rating data A Calcagnì, N Cao, E Rubaltelli, L Lombardi Fuzzy Sets and Systems 447, 76-99, 2022 | 11 | 2022 |
| Are there local differences in support for violent radicalization? A study on college students in the province of Quebec, Canada D Miconi, A Calcagnì, A Mekki‐Berrada, C Rousseau Political Psychology 42 (4), 637-658, 2021 | 11 | 2021 |
| Less is more: Psychological and morphometric differences between low vs high reappraisers E Pappaianni, N De Pisapia, R Siugzdaite, C Crescentini, A Calcagnì, ... Cogn. Affect. Behav. Neurosci 20, 128-140, 2019 | 11 | 2019 |
| A dimension reduction technique for two-mode non-convex fuzzy data A Calcagnì, L Lombardi, E Pascali Soft Computing 20 (2), 749-762, 2016 | 11 | 2016 |
| Non-convex fuzzy data and fuzzy statistics: a first descriptive approach to data analysis A Calcagnì, L Lombardi, E Pascali Soft Computing 18 (8), 1575-1588, 2014 | 11 | 2014 |
