Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
Terroir in View of Bibliometrics
by Christos Stefanis, Elpida Giorgi, Giorgios Tselemponis, Chrysa Voidarou, Ioannis Skoufos, Athina Tzora, Christina Tsigalou, Yiannis Kourkoutas, Theodoros C. Constantinidis and Eugenia Bezirtzoglou
 
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review
by Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato and Luigi Salmaso
 
A New Weighted Lindley Model with Applications to Extreme Historical Insurance Claims
by Morad Alizadeh, Mahmoud Afshari, Gauss M. Cordeiro, Ziaurrahman Ramaki, Javier E. Contreras-Reyes, Fatemeh Dirnik and Haitham M. Yousof
 
Factor Analysis of Ordinal Items: Old Questions, Modern Solutions?
by João Marôco
 
The Gamma-Topp-Leone-Type II-Exponentiated Half Logistic-G Family of Distributions with Applications
by Broderick Oluyede and Thatayaone Moakofi
 
Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence
by Tong Si, Yunge Wang, Lingling Zhang, Evan Richmond, Tae-Hyuk Ahn and Haijun Gong
 
The New Exponentiated Half Logistic-Harris-G Family of Distributions with Actuarial Measures and Applications
by Gayan Warahena-Liyanage, Broderick Oluyede, Thatayaone Moakofi and Whatmore Sengweni
 
Active Learning for Stacking and AdaBoost-Related Models
by Qun Sui and Sujit K. Ghosh
 
Estimation of Standard Error, Linking Error, and Total Error for Robust and Nonrobust Linking Methods in the Two-Parameter Logistic Model
by Alexander Robitzsch
 
Model-Free Feature Screening Based on Data Aggregation for Ultra-High-Dimensional Longitudinal Data
by Junfeng Chen, Xiaoguang Yang, Jing Dai and Yunming Li
Views Article
Child Labor in Sindh, Pakistan: Patterns and Areas in Need of Intervention
by Nadia Maqbool, Paul Newton and Tayyab Shah
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review
by Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato and Luigi Salmaso
Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence
by Tong Si, Yunge Wang, Lingling Zhang, Evan Richmond, Tae-Hyuk Ahn and Haijun Gong
Factor Analysis of Ordinal Items: Old Questions, Modern Solutions?
by João Marôco
Statistical Predictors of Project Management Maturity
by Helder Jose Celani de Souza, Valerio Antonio Pamplona Salomon and Carlos Eduardo Sanches da Silva
Revisiting the Large n (Sample Size) Problem: How to Avert Spurious Significance Results
by Aris Spanos
Measurement and Decomposition Analysis of Occupational Income Inequality in China
by Jing Yuan, Teng Ma, Yinghui Wang and Zongwu Cai
Combining Probability and Nonprobability Samples by Using Multivariate Mass Imputation Approaches with Application to Biomedical Research
by Sixia Chen, Alexandra May Woodruff, Janis Campbell, Sara Vesely, Zheng Xu and Cuyler Snider
Sentiment Analysis for Tourism Insights: A Machine Learning Approach
by Kenza Charfaoui and Stéphane Mussard
Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices
by Julien Chevallier and Bilel Sanhaji
Downloads Article
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review
by Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato and Luigi Salmaso
Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence
by Tong Si, Yunge Wang, Lingling Zhang, Evan Richmond, Tae-Hyuk Ahn and Haijun Gong
Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices
by Julien Chevallier and Bilel Sanhaji
Climate Change: Linear and Nonlinear Causality Analysis
by Jiecheng Song and Merry Ma
Terroir in View of Bibliometrics
by Christos Stefanis, Elpida Giorgi, Giorgios Tselemponis, Chrysa Voidarou, Ioannis Skoufos, Athina Tzora, Christina Tsigalou, Yiannis Kourkoutas, Theodoros C. Constantinidis and Eugenia Bezirtzoglou
Contrastive Learning Framework for Bitcoin Crash Prediction
by Zhaoyan Liu, Min Shu and Wei Zhu
Modeling Model Misspecification in Structural Equation Models
by Alexander Robitzsch
Factor Analysis of Ordinal Items: Old Questions, Modern Solutions?
by João Marôco
Statistical Predictors of Project Management Maturity
by Helder Jose Celani de Souza, Valerio Antonio Pamplona Salomon and Carlos Eduardo Sanches da Silva
Combining Probability and Nonprobability Samples by Using Multivariate Mass Imputation Approaches with Application to Biomedical Research
by Sixia Chen, Alexandra May Woodruff, Janis Campbell, Sara Vesely, Zheng Xu and Cuyler Snider
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