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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:

On statistical criteria of algorithmic fairness
Brian Hedden
Philosophy & Public Affairs (2021) Vol. 49, Iss. 2, pp. 209-231
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Moral consideration for AI systems by 2030
Jeff Sebo, Robert Long
AI and Ethics (2023)
Open Access | Times Cited: 31
Use of race in clinical algorithms
Anirban Basu
Science Advances (2023) Vol. 9, Iss. 21
Open Access | Times Cited: 29
Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges
Daniele Roberto Giacobbe, Cristina Marelli, Sabrina Guastavino, et al.
Clinical Therapeutics (2024) Vol. 46, Iss. 6, pp. 474-480
Closed Access | Times Cited: 14
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Hilde Weerts, Florian Pfisterer, Matthias Feurer, et al.
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 639-677
Open Access | Times Cited: 9
Employees’ perceptions of the fairness of AI-based performance prediction features
Khalid Majrashi
Cogent Business & Management (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
“Just” accuracy? Procedural fairness demands explainability in AI-based medical resource allocations
Jon Rueda, Janet Delgado, Iris Parra Jounou, et al.
AI & Society (2022) Vol. 39, Iss. 3, pp. 1411-1422
Open Access | Times Cited: 38
Antidiscrimination Insurance Pricing: Regulations, Fairness Criteria, and Models
Xi Xin, Fei Huang
North American Actuarial Journal (2023) Vol. 28, Iss. 2, pp. 285-319
Open Access | Times Cited: 16
Perpetuating Advantage
Robert E. Goodin
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 15
Predictive policing and algorithmic fairness
Tzu-Wei Hung, Chun-Ping Yen
Synthese (2023) Vol. 201, Iss. 6
Open Access | Times Cited: 14
On (assessing) the fairness of risk score models
Eike Petersen, Melanie Ganz, Sune Holm, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 817-829
Open Access | Times Cited: 14
Justice by Algorithm: The Limits of AI in Criminal Sentencing
Isaac Taylor
Criminal Justice Ethics (2023) Vol. 42, Iss. 3, pp. 193-213
Open Access | Times Cited: 14
Is explainable AI responsible AI?
Isaac Taylor
AI & Society (2024)
Open Access | Times Cited: 6
Artificial intelligence and identity: the rise of the statistical individual
Jens Christian Bjerring, Jacob Busch
AI & Society (2024)
Open Access | Times Cited: 5
Enabling Fairness in Healthcare Through Machine Learning
Thomas Grote, Geoff Keeling
Ethics and Information Technology (2022) Vol. 24, Iss. 3
Open Access | Times Cited: 20
Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic
Alicia de Manuel, Janet Delgado, Iris Parra Jounou, et al.
Big Data & Society (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 12
Fairness and Risk: An Ethical Argument for a Group Fairness Definition Insurers Can Use
Joachim Baumann, Michele Loi
Philosophy & Technology (2023) Vol. 36, Iss. 3
Open Access | Times Cited: 12
On the Advantages of Distinguishing Between Predictive and Allocative Fairness in Algorithmic Decision-Making
Fabian Beigang
Minds and Machines (2022) Vol. 32, Iss. 4, pp. 655-682
Open Access | Times Cited: 19
Bias
Thomas Kelly
Oxford University Press eBooks (2022)
Closed Access | Times Cited: 18
Egalitarianism and Algorithmic Fairness
Sune Holm
Philosophy & Technology (2023) Vol. 36, Iss. 1
Closed Access | Times Cited: 10
Equalized odds is a requirement of algorithmic fairness
David Gray Grant
Synthese (2023) Vol. 201, Iss. 3
Closed Access | Times Cited: 10
Algorithmic Fairness as an Inconsistent Concept
Patrik Hummel
American Philosophical Quarterly (2025) Vol. 62, Iss. 1, pp. 53-68
Closed Access
The Reach of Fairness
Joshua Cohen, Lydia T. Liu
ACM Journal on Responsible Computing (2025)
Closed Access
The representative individuals approach to fair machine learning
Clinton Castro, Michele Loi
AI and Ethics (2025)
Open Access
Fair by chance? On the use of algorithms in therapeutic decisions
Sune Holm
Journal of Medical Ethics (2025), pp. jme-110819
Closed Access
Does calibration mean what they say it means; or, the reference class problem rises again
Lily Hu
Philosophical Studies (2025)
Open Access
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