IRIS Institutional Research Information System - OPENBS Open Archive UniBS

MANISERA, Marica
 Distribuzione geografica
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Continente #
NA - Nord America 4.729
EU - Europa 4.297
AS - Asia 3.202
SA - Sud America 741
AF - Africa 105
OC - Oceania 19
Continente sconosciuto - Info sul continente non disponibili 17
Totale 13.110
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Nazione #
US - Stati Uniti d'America 4.602
IT - Italia 2.253
CN - Cina 1.081
SG - Singapore 1.075
BR - Brasile 592
UA - Ucraina 575
HK - Hong Kong 362
DE - Germania 285
FR - Francia 212
VN - Vietnam 206
FI - Finlandia 171
GB - Regno Unito 158
PL - Polonia 125
TR - Turchia 119
RU - Federazione Russa 106
IE - Irlanda 102
NL - Olanda 89
IN - India 83
CA - Canada 75
EE - Estonia 71
AR - Argentina 64
ES - Italia 55
BD - Bangladesh 48
ZA - Sudafrica 31
PK - Pakistan 30
JP - Giappone 29
MX - Messico 29
ID - Indonesia 27
IQ - Iraq 26
NG - Nigeria 25
EC - Ecuador 24
BE - Belgio 18
MA - Marocco 18
SE - Svezia 18
EU - Europa 16
SA - Arabia Saudita 15
KR - Corea 14
TW - Taiwan 14
CO - Colombia 13
AU - Australia 12
PY - Paraguay 12
VE - Venezuela 11
AE - Emirati Arabi Uniti 9
AT - Austria 9
PH - Filippine 9
CZ - Repubblica Ceca 8
PE - Perù 8
CL - Cile 7
EG - Egitto 7
GR - Grecia 7
NZ - Nuova Zelanda 7
JO - Giordania 6
UY - Uruguay 6
UZ - Uzbekistan 6
CR - Costa Rica 5
DZ - Algeria 5
HN - Honduras 5
IL - Israele 5
KE - Kenya 5
MY - Malesia 5
TN - Tunisia 5
AL - Albania 4
BO - Bolivia 4
CH - Svizzera 4
HR - Croazia 4
HU - Ungheria 4
KZ - Kazakistan 4
NP - Nepal 4
PT - Portogallo 4
BB - Barbados 3
ET - Etiopia 3
KG - Kirghizistan 3
MO - Macao, regione amministrativa speciale della Cina 3
OM - Oman 3
PS - Palestinian Territory 3
RO - Romania 3
AZ - Azerbaigian 2
BA - Bosnia-Erzegovina 2
IR - Iran 2
JM - Giamaica 2
LT - Lituania 2
LU - Lussemburgo 2
MU - Mauritius 2
SN - Senegal 2
SY - Repubblica araba siriana 2
TH - Thailandia 2
TT - Trinidad e Tobago 2
AO - Angola 1
BG - Bulgaria 1
BS - Bahamas 1
DM - Dominica 1
DO - Repubblica Dominicana 1
GE - Georgia 1
KW - Kuwait 1
LA - Repubblica Popolare Democratica del Laos 1
LB - Libano 1
LK - Sri Lanka 1
MD - Moldavia 1
NE - Niger 1
NI - Nicaragua 1
Totale 13.103
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Città #
Singapore 542
Jacksonville 406
Ann Arbor 351
Fairfield 337
Hong Kong 331
Woodbridge 331
Ashburn 326
Beijing 236
Houston 235
Milan 228
Rome 197
Princeton 186
The Dalles 176
Chandler 155
Wilmington 153
Salerno 147
San Jose 140
Brescia 135
Cambridge 125
Nanjing 124
Warsaw 118
Seattle 112
Dublin 100
Helsinki 99
New York 99
Dearborn 98
Lauterbourg 95
Bologna 88
Istanbul 88
Los Angeles 85
Tallinn 69
Ho Chi Minh City 68
Nanchang 60
Des Moines 59
Dallas 55
Moscow 53
Naples 49
São Paulo 48
Buffalo 47
Orem 43
Shenyang 43
Turin 43
Hanoi 41
Florence 35
Tianjin 34
Hebei 33
San Francisco 33
Chicago 32
Munich 31
San Diego 29
Tokyo 29
Padova 27
Redondo Beach 27
Changsha 22
Trento 22
Vicenza 22
Abuja 21
Verona 21
Brooklyn 20
Groningen 20
Palermo 20
Santa Clara 20
Chennai 19
Council Bluffs 19
Jiaxing 19
Zhengzhou 19
Jinan 18
Shanghai 18
Afragola 17
Aversa 17
Bari 17
Belo Horizonte 17
Hangzhou 17
Johannesburg 17
Kunming 17
Venice 17
Frankfurt am Main 16
London 16
Amsterdam 15
Atlanta 15
Denver 15
Montreal 15
Brussels 14
Manchester 14
Rio de Janeiro 14
Genoa 13
Perugia 13
Poplar 13
Reggio Emilia 13
Haiphong 12
Hefei 12
Ancona 11
Bolzano 11
Casorezzo 11
Catania 11
Guayaquil 11
Lonigo 11
Ningbo 11
Pescara 11
Trieste 11
Totale 7.576
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Nome #
Basketball Data Science: Basketball Analytics a portata di mano 867
Un’analisi delle relazioni tra equità, motivazione e soddisfazione per il lavoro 356
"P" come Piacere 285
Nell’era dei Big Data gli statistici contano… anche nello sport 213
Modelling the dynamic pattern of surface area in basketball and its effects on team performance 207
Big data analytics to model scoring probability in basketball: the effect of shooting under high-pressure conditions 194
Assessing Stability in NonLinear PCA with Hierarchical Data 174
Statistics in Sports 168
Basketball spatial performance indicators 165
Clustering ranking data in market segmentation: a case study on the Italian McDonald's customers’ preferences 164
Guest Editorial ‘Statistical Modelling for Sports Analytics’ 162
Sensory analysis in the food industry as a tool for marketing decisions 156
Modeling “don't know” responses in rating scales 156
On Pinto da Costa & Soares’ and other Weighted Rank Correlation Measures deriving from the Spearman’s rho 156
Alley‐oop! Basketball analytics in R 156
Assessing Stability in Nonlinear PCA with Hierarchical Data 153
Sensor Analytics in Basketball 149
On the nonlinearity of homogeneous ordinal variables 145
Guest Editorial ‘Statistical Modelling for Sports Analytics’ 144
On the nonlinearity of homogeneous ordinal variables 142
Space-Time Analysis of Movements in Basketball using Sensor Data 141
Estimation of Nonlinear CUB models via numerical optimization and EM algorithm 140
Identifying the component structure of satisfaction scales by Nonlinear Principal Components Analysis 139
A statistical analysis on sensory data: the Italian espresso case study 139
Analysing ordinal data to measure customer satisfaction: a comparison between the Rasch Model and CatPCA 136
Analyzing ordinal data to measure customer satisfaction: a comparison between the Rasch Model and CatPCA 136
A graphical tool to compare groups of subjects on categorical variables 136
Evaluation of term-weighting measures for grouped text documents with a target variable: a simulation study 135
Un’analisi esplorativa della qualità del lavoro nelle cooperative sociali 135
On the imputation of missing data in surveys with Likert-type scales 133
Identifiability of a model for discrete frequency distributions with a multidimensional parameter space 133
Modeling rating data with Nonlinear CUB models 132
On the Imputation of Missing Data in Surveys with Likert-Type Scales 131
A SURVIVAL ANALYSIS STUDY TO DISCOVER WHICH SKILLS DETERMINE A HIGHER SCORING IN BASKETBALL 130
Categorical Principal Component Analysis to identify the component structure of alexithymia 129
On two classes of Weighted Rank Correlation measures deriving from the Spearman’s rho 127
Treatment of “don’t know” responses in the consumers’ perceptions about sustainability in the agri-food sector 126
Assessing item contribution on unobservable variables’ measures with hierarchical data 125
Weighted Rank Correlation measures in Hierarchical Cluster Analysis 123
Interpreting clusters and their Bipolar Means: a case study 123
A graphical tool for comparing groups on categorical variables 121
A nonlinear least squares solution of a minimax estimation problem for stationary time series 119
BasketballAnalyzeR: an R package for basketball analytics 118
Multilevel algorithmic models to measures item importance on latent variables’ indicators 116
Basketball Data Science 115
The alexithymia construct: a reading based on Categorical Principal Component Analysis 114
A mixture model for rating data: the Nonlinear CUB 114
Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo and Rosaria Simone 114
Component structure of job satisfaction based on Herzberg's theory 112
Weighting the Spearman’s Rank Correlation Index 112
Analyzing and modelling rating data for sensory analysis in food industry 111
Nonlinear CUB models: some stylized facts 110
Basket: misurare la performance sotto pressione 110
Stime minimax per serie storiche stazionarie 109
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) 109
Constructing indicators of unobservable variables from parallel measurements 108
Visualizing Multiple Results from Nonlinear CUB Models with R Grid Viewports 108
Spatial Performance Indicators and Graphs in Basketball 108
Treatment of 'don't know' responses in rating data: effects on the heterogeneity of the CUB distribution 107
Nonlinear CUB models: the R code 106
Ordinal data models for no-opinion responses in attitude surveys 106
Scoring ordinal variables for constructing composite indicators 103
Markov switching modelling of shooting performance variability and teammate interactions in basketball 103
Basketball analytics using spatial tracking data 102
Analyzing Basketball Data with BasketballAnalyzeR 101
CUB models for sensory analysis in food industry 101
Models for categorical data: a comparison between the Rasch model and nonlinear principal component analysis. 100
Treatment of ‘don’t know’ responses in a mixture model for rating data 100
Minimax estimates for stationary time series 99
A mixture model for ordinal variables measured on semantic differential scales 98
A Mixture Model for the Analysis of Categorical Variables Measured on Five-point Semantic Differential Scales 96
Which achievements are associated with a better offensive performance in NBA? A survival analysis study 95
Robust estimation for stationary ARMA time series 95
On some weighted rank correlation measures related to the Spearman’s rho 95
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 94
Sulla scelta dello scaling level nell’Analisi delle Componenti Principali Nonlineare 94
Finding number of groups using a penalized internal cluster quality index 93
Scoring ordinal variables for constructing composite indicators 92
Il profilo socio-demografico dei lavoratori 92
Group-specific document embeddings: an application to user-generated content 91
Scale Construction for Job Satisfaction by Categorical Principal Component Analysis 89
L’Analisi delle Componenti Principali Nonlineare per la misurazione della qualità del lavoro 88
Advances in basketball statistics 88
On the equivalence of two mixture models for rating data 87
Modelling perceived variety in a choice process with nonlinear CUB 87
Minimax estimation based on a L1-metric loss function for stationary time series 86
New perspectives on rating data modelling: the Nonlinear CUB 85
Exploring the quality of work in social cooperatives by a graphical tool 83
Book of short papers, IES 2025 - Innovation & Society: Statistics and Data Science for Evaluation and Quality 82
How perceived variety impacts on choice satisfaction: a two-step approach using the CUB class of models and best-subset variable selection 80
Motivazioni, atteggiamenti ed incentivi non economici del lavoro nelle cooperative sociali 79
Measuring job satisfaction by means of Nonlinear Principal Component Analysis 79
Sport Analytics: la statistica divertente 79
Scoring probability maps in the basketball court with Indicator Kriging estimation 77
Measuring Nonlinearity in Data Analysis 77
Tecniche di scaling per la costruzione di indicatri della qualità del lavoro nel settore dei servizi sociali 74
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 72
Nonlinear CUB models 71
La statistica fa canestro 70
The impact of Four Factors on a basketball team success: An approach with model-based recursive partitioning 67
Totale 12.752
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Categoria #
all - tutte 52.330
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 52.330
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021353 0 0 0 0 0 0 0 0 0 173 152 28
2021/2022730 51 121 21 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
2025/20263.759 349 541 331 682 479 188 512 177 269 231 0 0
Totale 13.350