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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 systematic review of algorithm aversion in augmented decision making
Jason W. Burton, Mari‐Klara Stein, Tina Blegind Jensen
Journal of Behavioral Decision Making (2019) Vol. 33, Iss. 2, pp. 220-239
Closed Access | Times Cited: 489

Showing 26-50 of 489 citing articles:

If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
Mark T. Keane, Eoin M. Kenny, Eoin Delaney, et al.
(2021), pp. 4466-4474
Open Access | Times Cited: 97
Digital Discretion: Unpacking Human and Technological Agency in Automated Decision Making in Sweden’s Social Services
Agneta Ranerup, Helle Zinner Henriksen
Social Science Computer Review (2020) Vol. 40, Iss. 2, pp. 445-461
Open Access | Times Cited: 94
Decision augmentation and automation with artificial intelligence: Threat or opportunity for managers?
Michael Leyer, Sabrina Schneider
Business Horizons (2021) Vol. 64, Iss. 5, pp. 711-724
Closed Access | Times Cited: 88
What to expect from opening up ‘black boxes’? Comparing perceptions of justice between human and automated agents
Nadine Schlicker, Markus Langer, Sonja Kristine Ötting, et al.
Computers in Human Behavior (2021) Vol. 122, pp. 106837-106837
Closed Access | Times Cited: 74
Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions
Christoph Keding, Philip Meißner
Technological Forecasting and Social Change (2021) Vol. 171, pp. 120970-120970
Closed Access | Times Cited: 73
DECAS: a modern data-driven decision theory for big data and analytics
Nada Elgendy, Ahmed Elragal, Tero Päivärinta
Journal of Decision System (2021) Vol. 31, Iss. 4, pp. 337-373
Open Access | Times Cited: 71
Der Glaube an Big Data
Marco Lünich
Springer eBooks (2022)
Closed Access | Times Cited: 67
We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines
Marina Chugunova, Daniela Sele
Journal of Behavioral and Experimental Economics (2022) Vol. 99, pp. 101897-101897
Closed Access | Times Cited: 65
Who is the Expert? Reconciling Algorithm Aversion and Algorithm Appreciation in AI-Supported Decision Making
Yoyo Tsung-Yu Hou, Malte Jung
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW2, pp. 1-25
Open Access | Times Cited: 61
How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability
S. Mo Jang, Yong Jin Park
Journal of Computer-Mediated Communication (2022) Vol. 28, Iss. 1
Open Access | Times Cited: 52
The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study
Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, et al.
Electronic Markets (2022) Vol. 32, Iss. 4, pp. 2079-2102
Open Access | Times Cited: 48
Why do users trust algorithms? A review and conceptualization of initial trust and trust over time
Francesca Cabiddu, Ludovica Moi, Gerardo Patriotta, et al.
European Management Journal (2022) Vol. 40, Iss. 5, pp. 685-706
Open Access | Times Cited: 45
Adoption of AI-Enabled Tools in Social Development Organizations in India: An Extension of UTAUT Model
Ruchika Jain, Naval Garg, Shikha N. Khera
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 45
Predictive maintenance for industry 5.0: behavioural inquiries from a work system perspective
Bas van Oudenhoven, Philippe van de Calseyde, Rob Basten, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 22, pp. 7846-7865
Open Access | Times Cited: 44
Technology devalues luxury? Exploring consumer responses to AI-designed luxury products
Lidan Xu, Ravi Mehta
Journal of the Academy of Marketing Science (2022) Vol. 50, Iss. 6, pp. 1135-1152
Closed Access | Times Cited: 42
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging
Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1362-1374
Open Access | Times Cited: 42
Forever focused on fairness: 75 years of organizational justice in Personnel Psychology
Jason A. Colquitt, Edwyna T. Hill, David De Cremer
Personnel Psychology (2022) Vol. 76, Iss. 2, pp. 413-435
Closed Access | Times Cited: 39
The risk of algorithm transparency: How algorithm complexity drives the effects on the use of advice
Cedric Alexander Lehmann, Christiane B. Haubitz, Andreas Fügener, et al.
Production and Operations Management (2022) Vol. 31, Iss. 9, pp. 3419-3434
Open Access | Times Cited: 38
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems
Gaole He, Lucie Kuiper, Ujwal Gadiraju
(2023), pp. 1-18
Open Access | Times Cited: 33
Decision control and explanations in human-AI collaboration: Improving user perceptions and compliance
Monika Westphal, Michael Vössing, Gerhard Satzger, et al.
Computers in Human Behavior (2023) Vol. 144, pp. 107714-107714
Closed Access | Times Cited: 32
Do you trust ChatGPTs? Effects of the ethical and quality issues of generative AI on travel decisions
Jeong Hyun Kim, Jungkeun Kim, Changju Kim, et al.
Journal of Travel & Tourism Marketing (2023) Vol. 40, Iss. 9, pp. 779-801
Open Access | Times Cited: 32
Organizational frontlines in the digital age: The Consumer–Autonomous Technology–Worker (CAW) framework
Jenny van Doorn, Edin Smailhodžić, Stefano Puntoni, et al.
Journal of Business Research (2023) Vol. 164, pp. 114000-114000
Open Access | Times Cited: 31
Three Challenges for AI-Assisted Decision-Making
Mark Steyvers, Aakriti Kumar
Perspectives on Psychological Science (2023) Vol. 19, Iss. 5, pp. 722-734
Open Access | Times Cited: 29
What type of algorithm is perceived as fairer and more acceptable? A comparative analysis of rule-driven versus data-driven algorithmic decision-making in public affairs
Ge Wang, Yue Guo, Weimin Zhang, et al.
Government Information Quarterly (2023) Vol. 40, Iss. 2, pp. 101803-101803
Closed Access | Times Cited: 28
Bureaucrat or artificial intelligence: people’s preferences and perceptions of government service
Dongfang Gaozhao, James E. Wright, Mylah K. Gainey
Public Management Review (2023) Vol. 26, Iss. 6, pp. 1498-1525
Closed Access | Times Cited: 27

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