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:

Recommended for You: How Newspapers Normalise Algorithmic News Recommendation to Fit Their Gatekeeping Role
Lynge Asbjørn Møller
Journalism Studies (2022) Vol. 23, Iss. 7, pp. 800-817
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

News recommender systems: a programmatic research review
Eliza Mitova, Sina Blassnig, Edina Strikovic, et al.
Annals of the International Communication Association (2022) Vol. 47, Iss. 1, pp. 84-113
Closed Access | Times Cited: 30

RADio – Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations
Sanne Vrijenhoek, G. F. Benedict, Mateo Gutierrez Granada, et al.
(2022), pp. 208-219
Open Access | Times Cited: 26

The Role of Syndicated Content in Retaining Digital Newspaper Subscribers: Evidence from Clickstream and Subscription Data
Jaewon Choi, Su Jung Kim, Yayu Zhou, et al.
Digital Journalism (2025), pp. 1-22
Closed Access

AI in the Newsroom: Lessons from the Adoption of The Globe and Mail's Sophi
Alfred Hermida, Felix M. Simon
Journalism Practice (2025), pp. 1-18
Closed Access

Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding
Talha Bin Sarwar, Noorhuzaimi Mohd Noor, M. Saef Ullah Miah
PeerJ Computer Science (2022) Vol. 8, pp. e1024-e1024
Open Access | Times Cited: 21

Reinforce, readjust, reclaim: How artificial intelligence impacts journalism’s professional claim
Lynge Asbjørn Møller, Morten Skovsgaard, Claes H. de Vreese
Journalism (2024)
Closed Access | Times Cited: 4

A Balancing Act: How Media Professionals Perceive the Implementation of News Recommender Systems
Sina Blassnig, Edina Strikovic, Eliza Mitova, et al.
Digital Journalism (2024), pp. 1-23
Open Access | Times Cited: 3

The Algorithmic Gut Feeling – Articulating Journalistic Doxa and Emerging Epistemic Frictions in AI-Driven Data Work
Hartley Jannie Møller, Nanna Bonde Thylstrup
Digital Journalism (2024), pp. 1-19
Open Access | Times Cited: 3

Algorithmic agenda-setting: the subtle effects of news recommender systems on political agendas in the Danish 2022 general election
Árni Már Einarsson, Rasmus Helles, Stine Lomborg
Information Communication & Society (2024), pp. 1-21
Open Access | Times Cited: 2

Capítulo 7. Inteligencia artificial para la relación con las audiencias: el sistema de recomendación Sophi
Sonia Parratt Fernández, Alfred Hermida
Espejo de Monografías de Comunicación Social (2024), Iss. 25, pp. 165-185
Open Access | Times Cited: 2

Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge
Lucien Heitz, Sanne Vrijenhoek, Oana Inel
(2024), pp. 22-26
Closed Access | Times Cited: 2

News Personalization and Public Service Media: The Audience Perspective in Three European Countries
Annika Sehl, Maximilian Eder
Journalism and Media (2023) Vol. 4, Iss. 1, pp. 322-338
Open Access | Times Cited: 5

RADio* – An Introduction to Measuring Normative Diversity in News Recommendations
Sanne Vrijenhoek, G. F. Benedict, Mateo Gutierrez Granada, et al.
ACM Transactions on Recommender Systems (2024) Vol. 3, Iss. 1, pp. 1-29
Open Access | Times Cited: 1

Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems
Sanne Vrijenhoek, Savvina Daniil, Jorden Sandel, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 31, pp. 573-584
Open Access | Times Cited: 1

AI Governance in European Public Service Media: Policies and Guidelines for the Use of Artificial Intelligence Systems
Sara Pérez‐Seijo, Paulo Nuno Vicente
(2024), pp. 169-185
Closed Access | Times Cited: 1

Modeling and Validating a News Recommender Algorithm in a Mainstream Medium-Sized News Organization: An Experimental Approach
Lia‐Paschalia Spyridou, Constantinos Djouvas, Dimitra L. Milioni
Future Internet (2022) Vol. 14, Iss. 10, pp. 284-284
Open Access | Times Cited: 6

Bridging the Tech-Editorial Gap: Lessons from Two Case Studies of the Development and Integration of Algorithmic Curation in Journalism
Lynge Asbjørn Møller
Journalism Studies (2023) Vol. 24, Iss. 11, pp. 1458-1475
Closed Access | Times Cited: 2

When Worlds Collide: Journalistic, Market, and Tech Logics in the Adoption of News Recommender Systems
Eliza Mitova, Sina Blassnig, Edina Strikovic, et al.
Journalism Studies (2023) Vol. 24, Iss. 16, pp. 1957-1976
Open Access | Times Cited: 2

Negotiation within legitimate political boundaries: revealing the bottom-up news filtering of Chinese Party newspapers
Zhongzhong Fu, Han Yan, Zhongnan Fu
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access

Insta-News: How the New York Times and Washington Post Use Instagram
Jeremy Saks, Ashley Hopkins
Journalism Practice (2024), pp. 1-18
Closed Access

User Perceptions of News Recommender Systems and Trust in Media Outlets: A Five-Country Study
Sina Blassnig, Eliza Mitova, Edina Strikovic, et al.
Journalism Studies (2024) Vol. 25, Iss. 10, pp. 1182-1204
Open Access

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