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:

Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting
Michael Auer, Mark D. Griffiths
Journal of Gambling Studies (2022) Vol. 39, Iss. 3, pp. 1273-1294
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Gambling harm prevention and harm reduction in online environments: a call for action
Virve Marionneau, Heidi Ruohio, Nina Karlsson
Harm Reduction Journal (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 18

Duty of care, data science, and gambling harm: A scoping review of risk assessment models
Virve Marionneau, Kim Ristolainen, Tomi Roukka
Computers in Human Behavior Reports (2025), pp. 100644-100644
Open Access

Using machine learning to retrospectively predict self‐reported gambling problems in Quebec
W. Spencer Murch, Sylvia Kairouz, Sophie Dauphinais, et al.
Addiction (2023) Vol. 118, Iss. 8, pp. 1569-1578
Closed Access | Times Cited: 12

The Interconnection of AI and Social Research
Prokopis Christou
CABI eBooks (2025), pp. 12-20
Closed Access

Identifying Risks and Ethical Considerations of AI in Gambling: A Scoping Review
Fatemeh Binesh, Kasra Ghaharian
International Journal of Hospitality & Tourism Administration (2025), pp. 1-31
Closed Access

Establishing the Temporal Stability of Machine Learning Models That Detect Online Gambling-Related Harms
W. Spencer Murch, Sylvia Kairouz, Martin French
Computers in Human Behavior Reports (2024) Vol. 14, pp. 100427-100427
Open Access | Times Cited: 3

Development and validation of a prediction model for online gambling problems based on players' account data
Bastien Perrot, Jean-Benoît Hardouin, Elsa Thiabaud, et al.
Journal of Behavioral Addictions (2022) Vol. 11, Iss. 3, pp. 874-889
Open Access | Times Cited: 14

Individual risk factors and prediction of gambling disorder in online sports bettors - the longitudinal RIGAB study
Theresa Wirkus, Robert Czernecka, Gerhard Bühringer, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 2

AI ethics in a controversial industry: the case of gambling and its ethical paradox
Kasra Ghaharian, Fatemeh Binesh, Marta Soligo, et al.
AI and Ethics (2024)
Closed Access | Times Cited: 2

Behavioural Markers of Harm and Their Potential in Identifying Product Risk in Online Gambling
Paul Delfabbro, Jonathan Parke, Maris Catania, et al.
International Journal of Mental Health and Addiction (2023)
Open Access | Times Cited: 5

Predicting High-Risk Gambling Based on the First Seven Days of Gambling Activity After Registration Using Account-Based Tracking Data
Michael Auer, Mark D. Griffiths
International Journal of Mental Health and Addiction (2023)
Open Access | Times Cited: 4

The benefits and challenges of online player tracking
Paul Delfabbro
Addiction (2024) Vol. 119, Iss. 7, pp. 1166-1167
Open Access | Times Cited: 1

Overtime: Long-Term Betting Trajectories Among Highly-Involved and Less-Involved Online Sports Bettors
Sarah E. Nelson, Eric R. Louderback, Timothy C. Edson, et al.
Journal of Gambling Studies (2024) Vol. 40, Iss. 3, pp. 1245-1270
Closed Access | Times Cited: 1

Using Artificial Intelligence Algorithms to Predict Self-Reported Problem Gambling Among Online Casino Gamblers from Different Countries Using Account-Based Player Data
Niklas Hopfgartner, Michael Auer, Denis Helić, et al.
International Journal of Mental Health and Addiction (2024)
Open Access | Times Cited: 1

Comparing ‘fair’ machine learning models for detecting at-risk online gamblers
W. Spencer Murch, Sylvia Kairouz, Martin French
International Gambling Studies (2024), pp. 1-23
Closed Access | Times Cited: 1

Behavioural Tracking and Profiling Studies Involving Objective Data Derived from Online Operators: A Review of the Evidence
Paul Delfabbro, Jonathan Parke, Maris Catania
Journal of Gambling Studies (2023) Vol. 40, Iss. 2, pp. 639-671
Open Access | Times Cited: 3

Characteristics and prediction of risky gambling behaviour study: A study protocol
Robert Czernecka, Theresa Wirkus, Gerhard Bühringer, et al.
International Journal of Methods in Psychiatric Research (2023) Vol. 33, Iss. 1
Open Access | Times Cited: 2

BScFilter: A Deep Learning Approach for Sports Comments Filtering in a Resource Constraint Language
Aminur Rahman, Muhammad Ibrahim Khan, Md. Asif Khan Rifat
Lecture notes in networks and systems (2024), pp. 35-46
Closed Access

Anomalous traffic identification method for post messages based on gambling website templates
Zhimin Feng, Dezhi Han, Songyang Wu, et al.
Computer Science and Information Systems (2024) Vol. 22, Iss. 1, pp. 79-103
Open Access

In-Database Feature Extraction to Improve Early Detection of Problematic Online Gambling Behavior
Gabriel Stechschulte, Malte Wintner, Matthias Hemmje, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6868-6881
Closed Access

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