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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Exploring and modelling team performances of the Kaggle European Soccer database
Maurizio Carpita, Enrico Ciavolino, Paola Pasca
Statistical Modelling (2019) Vol. 19, Iss. 1, pp. 74-101
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

The Personality Panorama: Conceptualizing Personality through Big Behavioural Data
Ryan L. Boyd, Paola Pasca, Kevin Lanning
European Journal of Personality (2020) Vol. 34, Iss. 5, pp. 599-612
Open Access | Times Cited: 38
Using complex networks and multiple artificial intelligence algorithms for table tennis match action recognition and technical-tactical analysis
Honglin Song, Yutao Li, C.Y. Fu, et al.
Chaos Solitons & Fractals (2023) Vol. 178, pp. 114343-114343
Closed Access | Times Cited: 11
On the use of passing network indicators to predict football outcomes
Riccardo Ievoli, Lucio Palazzo, Giancarlo Ragozini
Knowledge-Based Systems (2021) Vol. 222, pp. 106997-106997
Closed Access | Times Cited: 23
A robust method for clustering football players with mixed attributes
Pierpaolo D’Urso, Livia De Giovanni, Vincenzina Vitale
Annals of Operations Research (2022) Vol. 325, Iss. 1, pp. 9-36
Open Access | Times Cited: 17
Predicting Wins, Losses and Attributes’ Sensitivities in the Soccer World Cup 2018 Using Neural Network Analysis
Amr Hassan, Abdel-Rahman Akl, Ibrahim Hassan, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3213-3213
Open Access | Times Cited: 21
A framework of interpretable match results prediction in football with FIFA ratings and team formation
Calvin Yeung, Rory Bunker, Keisuke Fujii
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284318-e0284318
Open Access | Times Cited: 7
A new xG model for football analytics
Mattia Cefis, Maurizio Carpita
Journal of the Operational Research Society (2024), pp. 1-13
Closed Access | Times Cited: 2
Key Performance Indicators Predictive of Success in Soccer: A Comprehensive Analysis of the Greek Soccer League
Andreas Stafylidis, Athanasios Mandroukas, Yiannis Michailidis, et al.
Journal of Functional Morphology and Kinesiology (2024) Vol. 9, Iss. 2, pp. 107-107
Open Access | Times Cited: 2
The higher-order PLS-SEM confirmatory approach for composite indicators of football performance quality
Mattia Cefis, Maurizio Carpita
Computational Statistics (2022) Vol. 39, Iss. 1, pp. 93-116
Closed Access | Times Cited: 10
What does it take to win or lose a soccer game? A machine learning approach to understand the impact of game and team statistics
Lu Bai, Ridvan Gedik, Gökhan Eğilmez
Journal of the Operational Research Society (2022) Vol. 74, Iss. 7, pp. 1690-1711
Closed Access | Times Cited: 9
Using Machine Learning and Candlestick Patterns to Predict the Outcomes of American Football Games
Yu-Chia Hsu
Applied Sciences (2020) Vol. 10, Iss. 13, pp. 4484-4484
Open Access | Times Cited: 13
Clustering of variables methods and measurement models for soccer players’ performances
Maurizio Carpita, Paola Pasca, Serena Arima, et al.
Annals of Operations Research (2023) Vol. 325, Iss. 1, pp. 37-56
Open Access | Times Cited: 4
Discovering associations between players' performance indicators and matches' results in the European Soccer Leagues
Maurizio Carpita, Silvia Golia
Journal of Applied Statistics (2020) Vol. 48, Iss. 9, pp. 1696-1711
Open Access | Times Cited: 12
Players’ Role-Based Performance Composite Indicators of Soccer Teams: A Statistical Perspective
Maurizio Carpita, Enrico Ciavolino, Paola Pasca
Social Indicators Research (2020) Vol. 156, Iss. 2-3, pp. 815-830
Closed Access | Times Cited: 10
Observed heterogeneity in players' football performance analysis using PLS-PM
Mattia Cefis
Journal of Applied Statistics (2022) Vol. 50, Iss. 15, pp. 3088-3107
Open Access | Times Cited: 7
Sports analytics in the NFL: classifying the winner of the superbowl
Yazan F. Roumani
Annals of Operations Research (2022) Vol. 325, Iss. 1, pp. 715-730
Open Access | Times Cited: 7
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
Manlio Migliorati, Marica Manisera, Paola Zuccolotto
AStA Advances in Statistical Analysis (2022) Vol. 107, Iss. 1-2, pp. 271-293
Open Access | Times Cited: 5
Comparing Goal-Based and Result-Based Approaches in Modelling Football Outcomes
Leonardo Egidi, Nicola Torelli
Social Indicators Research (2020) Vol. 156, Iss. 2-3, pp. 801-813
Closed Access | Times Cited: 5
A Bayesian Quest for Finding a Unified Model for Predicting Volleyball Games
Leonardo Egidi, Ioannis Ntzoufras
Journal of the Royal Statistical Society Series C (Applied Statistics) (2020) Vol. 69, Iss. 5, pp. 1307-1336
Open Access | Times Cited: 5
The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models
Riccardo Ievoli, Aldo Gardini, Lucio Palazzo
AStA Advances in Statistical Analysis (2021) Vol. 107, Iss. 1-2, pp. 153-175
Open Access | Times Cited: 5
Physical performance in women ́s football preseason. Body composition, heart rate and biomarkers, are they important? Rendimiento físico durante la pretemporada en fútbol femenino. Composición corporal, frecuencia cardíaca y biomarcadores, ¿son importantes?
José María Izquierdo Velasco, Ana de Benito Trigueros, Elvira Delgado Márquez, et al.
RICYDE Revista Internacional de Ciencias del Deporte (2022) Vol. 18, Iss. 69, pp. 141-154
Open Access | Times Cited: 3
Alternative ranking measures to predict international football results
Roberto Macrì Demartino, Leonardo Egidi, Nicola Torelli
Computational Statistics (2024)
Closed Access
Accuracy and explainability of statistical and machine learning xG models in football
Mattia Cefis, Maurizio Carpita
Statistics (2024), pp. 1-20
Closed Access
Machine Learning for Soccer Match Result Prediction
Rory Bunker, Calvin Yeung, Keisuke Fujii
Springer optimization and its applications (2024), pp. 7-49
Closed Access
Testing styles of play using triad census distribution: an application to men’s football
Lucio Palazzo, Riccardo Ievoli, Giancarlo Ragozini
Journal of Quantitative Analysis in Sports (2023) Vol. 19, Iss. 2, pp. 125-151
Closed Access | Times Cited: 1
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