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:

Reading News with a Purpose
Emily Sullivan, Dimitrios Bountouridis, Jaron Harambam, et al.
(2019), pp. 241-245
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Designing for the better by taking users into account
Jaron Harambam, Dimitrios Bountouridis, Mykola Makhortykh, et al.
(2019)
Closed Access | Times Cited: 58

Safeguarding the Journalistic DNA: Attitudes towards the Role of Professional Values in Algorithmic News Recommender Designs
Mariella Bastian, Natali Helberger, Mykola Makhortykh
Digital Journalism (2021) Vol. 9, Iss. 6, pp. 835-863
Open Access | Times Cited: 52

Personalizing the war: Perspectives for the adoption of news recommendation algorithms in the media coverage of the conflict in Eastern Ukraine
Mykola Makhortykh, Mariella Bastian
Media War & Conflict (2020) Vol. 15, Iss. 1, pp. 25-45
Open Access | Times Cited: 45

Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations
Daricia Wilkinson, Öznur Alkan, Q. Vera Liao, et al.
ACM transactions on office information systems (2021) Vol. 39, Iss. 4, pp. 1-21
Closed Access | Times Cited: 33

Nudging towards news diversity: A theoretical framework for facilitating diverse news consumption through recommender design
Nicolas Mattis, Philipp K. Masur, Judith Möller, et al.
New Media & Society (2022) Vol. 26, Iss. 7, pp. 3681-3706
Open Access | Times Cited: 23

Where Are the Values? A Systematic Literature Review on News Recommender Systems
Christine Bauer, Chandni Bagchi, Olusanmi Hundogan, et al.
ACM Transactions on Recommender Systems (2024) Vol. 2, Iss. 3, pp. 1-40
Open Access | Times Cited: 5

An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission
Luis M. de Campos, Juan M. Fernández‐Luna, Juan F. Huete
User Modeling and User-Adapted Interaction (2024)
Open Access | Times Cited: 4

A survey on effects of adding explanations to recommender systems
Alexandra Vultureanu‐Albişi, Costin Bădică
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 20
Closed Access | Times Cited: 17

Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender Systems
Yu Liang, Aditya Ponnada, Paul Lamere, et al.
(2023)
Open Access | Times Cited: 9

Beyond Explaining Single Item Recommendations
Nava Tintarev, Judith Masthoff
Springer eBooks (2012), pp. 711-756
Closed Access | Times Cited: 24

From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse
Emily Sullivan, Philippe Verreault-Julien
(2022), pp. 712-722
Open Access | Times Cited: 12

The Psychology of Personalization in Digital Environments: From Motivation to Well-Being – A Theoretical Integration
Fabian Hutmacher, Markus Appel
Review of General Psychology (2022) Vol. 27, Iss. 1, pp. 26-40
Closed Access | Times Cited: 11

Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study
Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, et al.
(2022), pp. 175-183
Closed Access | Times Cited: 11

Can Filter Bubbles Protect Information Freedom? Discussions of Algorithmic News Recommenders in Eastern Europe
Mykola Makhortykh, Mariëlle Wijermars
Digital Journalism (2021) Vol. 11, Iss. 9, pp. 1597-1621
Open Access | Times Cited: 14

Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design Approach
Mouadh Guesmi, Mohamed Amine Chatti, Alptug Tayyar, et al.
Multimodal Technologies and Interaction (2022) Vol. 6, Iss. 6, pp. 42-42
Open Access | Times Cited: 9

Serendipity as a Design Principle of Personalization Systems—Theoretical Distinctions
Urbano Reviglio
Springer eBooks (2023), pp. 145-165
Closed Access | Times Cited: 4

SIDEs: Separating Idealization from Deceptive 'Explanations' in xAI
Emily Sullivan
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 81, pp. 1714-1724
Open Access | Times Cited: 1

Putting a Human Face on the Algorithm: Co-Designing Recommender Personae to Democratize News Recommender Systems
Lawrence Van den Bogaert, David Geerts, Jaron Harambam
Digital Journalism (2022), pp. 1-21
Open Access | Times Cited: 7

Validation of the EDUSS Framework for Self-Actualization Based on Transparent User Models: A Qualitative Study
Mouadh Guesmi, Clara Siepmann, Mohamed Amine Chatti, et al.
(2023), pp. 229-238
Closed Access | Times Cited: 3

The Effects of User Comments on Science News Engagement
Spencer Williams, Gary Hsieh
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW1, pp. 1-29
Open Access | Times Cited: 8

Modeling users’ heterogeneous taste with diversified attentive user profiles
Oren Barkan, Tom Shaked, Yonatan Fuchs, et al.
User Modeling and User-Adapted Interaction (2023) Vol. 34, Iss. 2, pp. 375-405
Closed Access | Times Cited: 2

Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges
Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
(2023), pp. 5216-5219
Open Access | Times Cited: 2

Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details.
Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, et al.
Conference on Recommender Systems (2021), pp. 55-72
Closed Access | Times Cited: 4

ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability
Ibrahim Al-Hazwani, Tiantian Luo, Oana Inel, et al.
(2024), pp. 292-304
Closed Access

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