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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:

The flaws of policies requiring human oversight of government algorithms
Ben Green
Computer Law & Security Review (2022) Vol. 45, pp. 105681-105681
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Towards a standard for identifying and managing bias in artificial intelligence
Reva Schwartz, Apostol Vassilev, Kristen Greene, et al.
(2022)
Open Access | Times Cited: 301
Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk
Johann Laux, Sandra Wachter, Brent Mittelstadt
Regulation & Governance (2023) Vol. 18, Iss. 1, pp. 3-32
Open Access | Times Cited: 108
How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
Allison Woodruff, Renee Shelby, Patrick Gage Kelley, et al.
(2024), pp. 1-26
Open Access | Times Cited: 26
Trustworthy AI in the public sector: An empirical analysis of a Swedish labor market decision-support system
Alexander Berman, Karl de Fine Licht, Vanja Carlsson
Technology in Society (2024) Vol. 76, pp. 102471-102471
Open Access | Times Cited: 19
It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy
Andrew Bell, Ian René Solano-Kamaiko, Oded Nov, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 248-266
Open Access | Times Cited: 47
Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making
Snehal Prabhudesai, Leyao Yang, Sumit Asthana, et al.
(2023), pp. 379-396
Closed Access | Times Cited: 33
Against Predictive Optimization: On the Legitimacy of Decision-making Algorithms That Optimize Predictive Accuracy
Angelina Wang, Sayash Kapoor, Solon Barocas, et al.
ACM Journal on Responsible Computing (2023) Vol. 1, Iss. 1, pp. 1-45
Open Access | Times Cited: 23
The impact of AI errors in a human-in-the-loop process
Ujué Agudo, Karlos G. Liberal, Miren Arrese, et al.
Cognitive Research Principles and Implications (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 15
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals
Anna Kawakami, Amanda Coston, Haiyi Zhu, et al.
(2024), pp. 1-22
Open Access | Times Cited: 15
Is Human Oversight to AI Systems still possible?
Andreas Holzinger, Kurt Zatloukal, Heimo Müller
New Biotechnology (2024)
Open Access | Times Cited: 10
Understanding Contestability on the Margins: Implications for the Design of Algorithmic Decision-making in Public Services
Naveena Karusala, Sohini Upadhyay, Rajesh Veeraraghavan, et al.
(2024), pp. 1-16
Open Access | Times Cited: 9
Visibility into AI Agents
Alan Chan, Carson Ezell, M. R. Kaufmann, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 958-973
Open Access | Times Cited: 9
On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives
Sarah Sterz, Kevin Baum, Sebastian Biewer, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 15, pp. 2495-2507
Open Access | Times Cited: 9
Integrity Versus Ideology in Automated Assessment: The Jobseeker Snapshot
Angelika Papadopoulos
Australian Journal of Social Issues (2025)
Open Access | Times Cited: 1
Institutionalised distrust and human oversight of artificial intelligence: towards a democratic design of AI governance under the European Union AI Act
Johann Laux
AI & Society (2023) Vol. 39, Iss. 6, pp. 2853-2866
Open Access | Times Cited: 18
Detection of Digital Law Issues and Implication for Good Governance Policy in Indonesia
Awaludin Marwan, Diana Odier-Contreras Garduño, Fiammetta Bonfigli
BESTUUR (2022) Vol. 10, Iss. 1, pp. 22-22
Open Access | Times Cited: 27
Reimagining the machine learning life cycle to improve educational outcomes of students
Lydia T. Liu, Serena Wang, Tolani Britton, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 9
Open Access | Times Cited: 16
The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool
Marissa Gerchick, Tobi Jegede, T.P. Shah, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1292-1310
Open Access | Times Cited: 16
Trust in hybrid human‐automated decision‐support
Felix Kares, Cornelius J. König, Richard Bergs, et al.
International Journal of Selection and Assessment (2023) Vol. 31, Iss. 3, pp. 388-402
Open Access | Times Cited: 11
Regulating Government AI and the Challenge of Sociotechnical Design
David Freeman Engstrom, Amit Haim
Annual Review of Law and Social Science (2023) Vol. 19, Iss. 1, pp. 277-298
Open Access | Times Cited: 11
Learning When to Advise Human Decision Makers
Gali Noti, Yiling Chen
(2023), pp. 3038-3048
Open Access | Times Cited: 11
Optimizing human-AI collaboration: Effects of motivation and accuracy information in AI-supported decision-making
Simon Eisbach, Markus Langer, Guido Hertel
Computers in Human Behavior Artificial Humans (2023) Vol. 1, Iss. 2, pp. 100015-100015
Open Access | Times Cited: 11
Decoding the algorithmic operations of Australia's National Disability Insurance Scheme
Georgia van Toorn, Terry Carney
Australian Journal of Social Issues (2024)
Open Access | Times Cited: 4
Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence
Maya Balakrishnan, Kris Ferreira, Jordan Tong
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 18
Disciplining Deliberation: A Socio-technical Perspective on Machine Learning Trade-Offs
Sina Fazelpour
The British Journal for the Philosophy of Science (2025)
Open Access
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