IRIS Institutional Research Information System - OPENBS Open Archive UniBS

MANISERA, MARICA
 Distribuzione geografica
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Continente #
NA - Nord America 5.875
EU - Europa 4.468
AS - Asia 3.336
SA - Sud America 780
Continente sconosciuto - Info sul continente non disponibili 264
AF - Africa 107
OC - Oceania 19
Totale 14.849
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Nazione #
US - Stati Uniti d'America 5.671
IT - Italia 2.380
CN - Cina 1.116
SG - Singapore 1.099
BR - Brasile 611
UA - Ucraina 575
HK - Hong Kong 375
DE - Germania 291
FR - Francia 218
VN - Vietnam 212
FI - Finlandia 171
GB - Regno Unito 168
PL - Polonia 125
TR - Turchia 119
CA - Canada 108
RU - Federazione Russa 107
IE - Irlanda 104
BD - Bangladesh 91
NL - Olanda 91
IN - India 85
AR - Argentina 71
EE - Estonia 71
ES - Italia 61
MX - Messico 37
JP - Giappone 32
PK - Pakistan 31
ZA - Sudafrica 31
ID - Indonesia 29
IQ - Iraq 26
EC - Ecuador 25
NG - Nigeria 25
BE - Belgio 18
CO - Colombia 18
MA - Marocco 18
SE - Svezia 18
EU - Europa 16
KR - Corea 15
SA - Arabia Saudita 15
TW - Taiwan 14
CL - Cile 13
AU - Australia 12
PY - Paraguay 12
AT - Austria 11
JM - Giamaica 11
VE - Venezuela 11
PH - Filippine 10
AE - Emirati Arabi Uniti 9
PE - Perù 9
CR - Costa Rica 8
CZ - Repubblica Ceca 8
HU - Ungheria 8
EG - Egitto 7
GR - Grecia 7
NZ - Nuova Zelanda 7
CH - Svizzera 6
HN - Honduras 6
JO - Giordania 6
MY - Malesia 6
UY - Uruguay 6
UZ - Uzbekistan 6
DZ - Algeria 5
HR - Croazia 5
IL - Israele 5
KE - Kenya 5
KZ - Kazakistan 5
PT - Portogallo 5
SV - El Salvador 5
TN - Tunisia 5
TT - Trinidad e Tobago 5
AL - Albania 4
BB - Barbados 4
BO - Bolivia 4
BS - Bahamas 4
ET - Etiopia 4
NP - Nepal 4
KG - Kirghizistan 3
MO - Macao, regione amministrativa speciale della Cina 3
OM - Oman 3
PS - Palestinian Territory 3
RO - Romania 3
TH - Thailandia 3
AZ - Azerbaigian 2
BA - Bosnia-Erzegovina 2
DO - Repubblica Dominicana 2
GT - Guatemala 2
IR - Iran 2
LT - Lituania 2
LU - Lussemburgo 2
MQ - Martinica 2
MU - Mauritius 2
NI - Nicaragua 2
PR - Porto Rico 2
SN - Senegal 2
SY - Repubblica araba siriana 2
XK - ???statistics.table.value.countryCode.XK??? 2
AG - Antigua e Barbuda 1
AO - Angola 1
AW - Aruba 1
BG - Bulgaria 1
BM - Bermuda 1
Totale 14.587
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Città #
Singapore 549
Ashburn 514
Jacksonville 406
Ann Arbor 351
Hong Kong 344
Fairfield 337
Woodbridge 332
San Jose 263
Milan 245
Beijing 242
Houston 238
Rome 215
Princeton 186
Council Bluffs 182
The Dalles 176
Chandler 155
Wilmington 153
Salerno 147
Brescia 140
Cambridge 125
Nanjing 124
Warsaw 118
Seattle 112
New York 111
Dublin 100
Helsinki 99
Dearborn 98
Lauterbourg 95
Bologna 92
Los Angeles 91
Istanbul 88
Columbus 83
Ho Chi Minh City 71
Dallas 70
Tallinn 69
Des Moines 60
Nanchang 60
São Paulo 57
Buffalo 55
Moscow 53
Naples 50
Santa Clara 50
Turin 48
Orem 45
Shenyang 43
Hanoi 42
Chicago 40
Florence 37
San Francisco 35
Tianjin 34
Hebei 33
Munich 31
Tokyo 30
San Diego 29
Padova 27
Redondo Beach 27
Phoenix 25
Brooklyn 24
Palermo 24
Changsha 23
Trento 22
Vicenza 22
Abuja 21
Atlanta 21
Verona 21
Denver 20
Groningen 20
Chennai 19
Jiaxing 19
Shanghai 19
Zhengzhou 19
Afragola 18
Bari 18
Jinan 18
Toronto 18
Venice 18
Aversa 17
Belo Horizonte 17
Frankfurt am Main 17
Genoa 17
Hangzhou 17
Johannesburg 17
Kunming 17
North Bergen 17
London 16
Montreal 16
Amsterdam 15
Manchester 15
Rio de Janeiro 15
Brussels 14
Perugia 13
Poplar 13
Reggio Emilia 13
Trieste 13
Haiphong 12
Hefei 12
Ancona 11
Bolzano 11
Casorezzo 11
Catania 11
Totale 8.363
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Nome #
Basketball Data Science: Basketball Analytics a portata di mano 919
Un’analisi delle relazioni tra equità, motivazione e soddisfazione per il lavoro 388
"P" come Piacere 299
Nell’era dei Big Data gli statistici contano… anche nello sport 229
Modelling the dynamic pattern of surface area in basketball and its effects on team performance 213
Big data analytics to model scoring probability in basketball: the effect of shooting under high-pressure conditions 203
Assessing Stability in NonLinear PCA with Hierarchical Data 178
Clustering ranking data in market segmentation: a case study on the Italian McDonald's customers’ preferences 176
A graphical tool to compare groups of subjects on categorical variables 175
Statistics in Sports 175
On Pinto da Costa & Soares’ and other Weighted Rank Correlation Measures deriving from the Spearman’s rho 173
Basketball spatial performance indicators 173
Alley‐oop! Basketball analytics in R 167
Guest Editorial ‘Statistical Modelling for Sports Analytics’ 165
Sensory analysis in the food industry as a tool for marketing decisions 164
Modeling “don't know” responses in rating scales 164
A statistical analysis on sensory data: the Italian espresso case study 161
Assessing Stability in Nonlinear PCA with Hierarchical Data 157
On the nonlinearity of homogeneous ordinal variables 156
Sensor Analytics in Basketball 155
A SURVIVAL ANALYSIS STUDY TO DISCOVER WHICH SKILLS DETERMINE A HIGHER SCORING IN BASKETBALL 152
On the nonlinearity of homogeneous ordinal variables 151
Identifying the component structure of satisfaction scales by Nonlinear Principal Components Analysis 150
Analysing ordinal data to measure customer satisfaction: a comparison between the Rasch Model and CatPCA 149
Guest Editorial ‘Statistical Modelling for Sports Analytics’ 149
Analyzing ordinal data to measure customer satisfaction: a comparison between the Rasch Model and CatPCA 148
Evaluation of term-weighting measures for grouped text documents with a target variable: a simulation study 147
Estimation of Nonlinear CUB models via numerical optimization and EM algorithm 147
Space-Time Analysis of Movements in Basketball using Sensor Data 146
On the imputation of missing data in surveys with Likert-type scales 145
Un’analisi esplorativa della qualità del lavoro nelle cooperative sociali 144
On the Imputation of Missing Data in Surveys with Likert-Type Scales 143
Identifiability of a model for discrete frequency distributions with a multidimensional parameter space 142
On two classes of Weighted Rank Correlation measures deriving from the Spearman’s rho 140
A Mixture Model for the Analysis of Categorical Variables Measured on Five-point Semantic Differential Scales 139
Categorical Principal Component Analysis to identify the component structure of alexithymia 138
Modeling rating data with Nonlinear CUB models 138
Assessing item contribution on unobservable variables’ measures with hierarchical data 136
Treatment of “don’t know” responses in the consumers’ perceptions about sustainability in the agri-food sector 136
Weighted Rank Correlation measures in Hierarchical Cluster Analysis 134
Interpreting clusters and their Bipolar Means: a case study 131
A graphical tool for comparing groups on categorical variables 129
Models for categorical data: a comparison between the Rasch model and nonlinear principal component analysis. 127
Visualizing Multiple Results from Nonlinear CUB Models with R Grid Viewports 127
A nonlinear least squares solution of a minimax estimation problem for stationary time series 126
Stime minimax per serie storiche stazionarie 125
Analyzing and modelling rating data for sensory analysis in food industry 125
Treatment of 'don't know' responses in rating data: effects on the heterogeneity of the CUB distribution 125
BasketballAnalyzeR: an R package for basketball analytics 125
Component structure of job satisfaction based on Herzberg's theory 124
A mixture model for rating data: the Nonlinear CUB 124
Basketball Data Science 124
Nonlinear CUB models: the R code 123
Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo and Rosaria Simone 123
Multilevel algorithmic models to measures item importance on latent variables’ indicators 122
Weighting the Spearman’s Rank Correlation Index 121
Constructing indicators of unobservable variables from parallel measurements 121
Analyzing Basketball Data with BasketballAnalyzeR 120
The alexithymia construct: a reading based on Categorical Principal Component Analysis 120
Spatial Performance Indicators and Graphs in Basketball 119
Minimax estimates for stationary time series 117
Analisi dei criteri per la valutazione della ricerca individuale in ambito statistico, Relazione finale della Commissione SIS Riforma dei criteri condivisi per la valutazione della ricerca e revisione delle equivalenze dei titoli accademici europei ed internazionali da applicare alle “chiamate dirette”, available at http://sis-statistica.it/files/pdf/2010/relazione_finalecommissione_valutazione.pdf (retrieved April, 2011) 117
Nonlinear CUB models: some stylized facts 117
Ordinal data models for no-opinion responses in attitude surveys 116
Basket: misurare la performance sotto pressione 116
Markov switching modelling of shooting performance variability and teammate interactions in basketball 116
On the equivalence of two mixture models for rating data 110
Scoring ordinal variables for constructing composite indicators 110
A mixture model for ordinal variables measured on semantic differential scales 110
CUB models for sensory analysis in food industry 109
Basketball analytics using spatial tracking data 109
Integration of model-based recursive partitioning with bias reduction estimation: a case study assessing the impact of Oliver’s four factors on the probability of winning a basketball game 107
Which achievements are associated with a better offensive performance in NBA? A survival analysis study 107
Treatment of ‘don’t know’ responses in a mixture model for rating data 107
Scoring ordinal variables for constructing composite indicators 106
On some weighted rank correlation measures related to the Spearman’s rho 105
Advances in basketball statistics 105
Il profilo socio-demografico dei lavoratori 103
Robust estimation for stationary ARMA time series 103
Sulla scelta dello scaling level nell’Analisi delle Componenti Principali Nonlineare 102
Finding number of groups using a penalized internal cluster quality index 100
Group-specific document embeddings: an application to user-generated content 99
Book of short papers, IES 2025 - Innovation & Society: Statistics and Data Science for Evaluation and Quality 96
L’Analisi delle Componenti Principali Nonlineare per la misurazione della qualità del lavoro 96
Scale Construction for Job Satisfaction by Categorical Principal Component Analysis 96
Modelling perceived variety in a choice process with nonlinear CUB 96
Scoring probability maps in the basketball court with Indicator Kriging estimation 94
A New Approach to Basketball Game Predictions by Simulating Games Based on the Predicted Numbers and Types of Plays 94
Minimax estimation based on a L1-metric loss function for stationary time series 94
New perspectives on rating data modelling: the Nonlinear CUB 94
How perceived variety impacts on choice satisfaction: a two-step approach using the CUB class of models and best-subset variable selection 92
Exploring the quality of work in social cooperatives by a graphical tool 91
Gli statistici hanno i numeri… anche nello sport 88
Measuring Nonlinearity in Data Analysis 87
Measuring job satisfaction by means of Nonlinear Principal Component Analysis 87
Motivazioni, atteggiamenti ed incentivi non economici del lavoro nelle cooperative sociali 86
Sport Analytics: la statistica divertente 86
La statistica fa canestro 85
Nonlinear CUB models 83
Il vino di qualità costa di più? Un’analisi per comprendere se e quanto la qualità del vino incida sul prezzo di mercato dei vini rossi italiani 83
Totale 13.964
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Categoria #
all - tutte 61.822
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 61.822
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022537 0 0 0 45 7 22 32 51 40 99 62 179
2022/2023703 106 14 29 48 61 150 11 45 128 29 39 43
2023/20241.182 79 30 114 120 52 112 74 90 238 62 41 170
2024/20252.423 65 41 51 372 207 200 215 105 319 133 458 257
2025/20264.059 349 541 331 682 479 188 512 177 269 278 166 87
2026/20271.199 233 170 364 432 0 0 0 0 0 0 0 0
Totale 14.849