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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:

A multidisciplinary survey on discrimination analysis
Andrea Romei, Salvatore Ruggieri
The Knowledge Engineering Review (2013) Vol. 29, Iss. 5, pp. 582-638
Open Access | Times Cited: 298

Showing 1-25 of 298 citing articles:

A Survey of Methods for Explaining Black Box Models
Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, et al.
ACM Computing Surveys (2018) Vol. 51, Iss. 5, pp. 1-42
Open Access | Times Cited: 3752
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Ani Saxena, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 6, pp. 1-35
Open Access | Times Cited: 2906
The ethics of algorithms: Mapping the debate
Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo, et al.
Big Data & Society (2016) Vol. 3, Iss. 2
Open Access | Times Cited: 1985
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
Alexandra Chouldechova
Big Data (2017) Vol. 5, Iss. 2, pp. 153-163
Open Access | Times Cited: 1761
Certifying and Removing Disparate Impact
Michael Feldman, Sorelle A. Friedler, John Moeller, et al.
(2015), pp. 259-268
Open Access | Times Cited: 1616
Algorithmic Decision Making and the Cost of Fairness
Sam Corbett‐Davies, Emma Pierson, Avi Feller, et al.
(2017), pp. 797-806
Open Access | Times Cited: 1033
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, et al.
MPG.PuRe (Max Planck Society) (2017), pp. 1171-1180
Open Access | Times Cited: 627
Fair, Transparent, and Accountable Algorithmic Decision-making Processes
Bruno Lepri, Nuria Oliver, Emmanuel Letouzé, et al.
Philosophy & Technology (2017) Vol. 31, Iss. 4, pp. 611-627
Closed Access | Times Cited: 534
A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, et al.
(2019), pp. 329-338
Open Access | Times Cited: 511
Fairness Beyond Disparate Treatment & Disparate Impact
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, et al.
(2017)
Open Access | Times Cited: 505
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, Nathan Srebro
arXiv (Cornell University) (2016)
Closed Access | Times Cited: 407
On the (im)possibility of fairness
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
arXiv (Cornell University) (2016)
Open Access | Times Cited: 288
Inherent Tradeoffs in the Fair Determination of Risk Scores
Manish Raghavan
ACM eBooks (2023)
Open Access | Times Cited: 273
Measuring discrimination in algorithmic decision making
Indrė Žliobaitė
Data Mining and Knowledge Discovery (2017) Vol. 31, Iss. 4, pp. 1060-1089
Open Access | Times Cited: 234
The relationship between trust in AI and trustworthy machine learning technologies
Ehsan Toreini, Mhairi Aitken, Kovila Coopamootoo, et al.
(2020), pp. 272-283
Open Access | Times Cited: 233
Equity of Attention: Amortizing Individual Fairness in Rankings
Asia J. Biega, Krishna P. Gummadi, Gerhard Weikum
(2018), pp. 405-414
Open Access | Times Cited: 232
Fairness in Machine Learning: A Survey
Simon Caton, Christian Haas
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-38
Open Access | Times Cited: 210
Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability?
P.B. de Laat
Philosophy & Technology (2017) Vol. 31, Iss. 4, pp. 525-541
Open Access | Times Cited: 207
Auditing black-box models for indirect influence
Philip Adler, Casey Falk, Sorelle A. Friedler, et al.
Knowledge and Information Systems (2017) Vol. 54, Iss. 1, pp. 95-122
Closed Access | Times Cited: 201
Bias and Discrimination in AI: A Cross-Disciplinary Perspective
Xavier Ferrer, Tom van Nuenen, José M. Such, et al.
IEEE Technology and Society Magazine (2021) Vol. 40, Iss. 2, pp. 72-80
Open Access | Times Cited: 193
Fairness in Decision-Making — The Causal Explanation Formula
Junzhe Zhang, Elias Bareinboim
Proceedings of the AAAI Conference on Artificial Intelligence (2018) Vol. 32, Iss. 1
Open Access | Times Cited: 179
Data Lifecycle Challenges in Production Machine Learning
Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, et al.
ACM SIGMOD Record (2018) Vol. 47, Iss. 2, pp. 17-28
Closed Access | Times Cited: 168
Mathematical optimization in classification and regression trees
Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Top (2021) Vol. 29, Iss. 1, pp. 5-33
Open Access | Times Cited: 109
Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms
Benedetta Giovanola, Simona Tiribelli
AI & Society (2022) Vol. 38, Iss. 2, pp. 549-563
Open Access | Times Cited: 96
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort, Zhenpeng Chen, Jie M. Zhang, et al.
ACM Journal on Responsible Computing (2023) Vol. 1, Iss. 2, pp. 1-52
Open Access | Times Cited: 80
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