Silvia Milano

949 total citations · 1 hit paper
14 papers, 426 citations indexed

About

Silvia Milano is a scholar working on Artificial Intelligence, Safety Research and Information Systems. According to data from OpenAlex, Silvia Milano has authored 14 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Safety Research and 4 papers in Information Systems. Recurrent topics in Silvia Milano's work include Recommender Systems and Techniques (4 papers), Topic Modeling (3 papers) and Ethics and Social Impacts of AI (3 papers). Silvia Milano is often cited by papers focused on Recommender Systems and Techniques (4 papers), Topic Modeling (3 papers) and Ethics and Social Impacts of AI (3 papers). Silvia Milano collaborates with scholars based in United Kingdom, United States and Italy. Silvia Milano's co-authors include Mariarosaria Taddeo, Luciano Floridi, Sabina Leonelli, Joshua A. McGrane, Arnau Ramisa, Renè Vidal, Yashar Deldjoo, Zhankui He, Scott Sanner and Maheswaran Sathiamoorthy and has published in prestigious journals such as Nature Machine Intelligence, The Information Society and Philosophical Studies.

In The Last Decade

Silvia Milano

14 papers receiving 397 citations

Hit Papers

Recommender systems and their ethical challenges 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Recommender systems and their ethical challenges
    2020 218 citations Silvia Milano, Mariarosaria Taddeo et al. AI & Society profile →

Peers

Silvia Milano
Ruotong Wang United States
Natalia Criado United Kingdom
Debora Weber-Wulff Germany
Edward McFowland United States
Lefteris Moussiades Greece
Jan Kocoń Poland
Faten Kharbat United Arab Emirates
Dallas Card United States
Marçal Mora‐Cantallops Spain
Stephan Raaijmakers Netherlands
Ruotong Wang United States
Silvia Milano
Citations per year, relative to Silvia Milano Silvia Milano (= 1×) peers Ruotong Wang

Countries citing papers authored by Silvia Milano

Since Specialization
Citations

This map shows the geographic impact of Silvia Milano's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Silvia Milano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Milano more than expected).

Fields of papers citing papers by Silvia Milano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Milano. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Silvia Milano. The network helps show where Silvia Milano may publish in the future.

Co-authorship network of co-authors of Silvia Milano

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Milano. A scholar is included among the top collaborators of Silvia Milano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvia Milano. Silvia Milano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Deldjoo, Yashar, Zhankui He, Julian McAuley, et al.. (2025). Tutorial on Recommendation with Generative Models (Gen-RecSys). 1002–1004. 8 indexed citations
2.
Deldjoo, Yashar, Zhankui He, Julian McAuley, et al.. (2024). A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). 6448–6458. 27 indexed citations
3.
Milano, Silvia & Sven Nyholm. (2024). Advanced AI assistants that act on our behalf may not be ethically or legally feasible. Nature Machine Intelligence. 6(8). 846–847. 2 indexed citations
4.
Milano, Silvia & Carina Prunkl. (2024). Algorithmic profiling as a source of hermeneutical injustice. Philosophical Studies. 182(1). 185–203. 8 indexed citations
5.
Deldjoo, Yashar, Zhankui He, Julian McAuley, et al.. (2024). A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). arXiv (Cornell University). 1 indexed citations
6.
Milano, Silvia, Joshua A. McGrane, & Sabina Leonelli. (2023). Large language models challenge the future of higher education. Nature Machine Intelligence. 5(4). 333–334. 88 indexed citations
7.
Buckner, Cameron, Risto Miikkulainen, Stephanie Forrest, et al.. (2022). AI reflections in 2021. Nature Machine Intelligence. 4(1). 5–10. 4 indexed citations
8.
Milano, Silvia, Brent Mittelstadt, Sandra Wachter, & Chris Russell. (2021). Epistemic fragmentation poses a threat to the governance of online targeting. Nature Machine Intelligence. 3(6). 466–472. 13 indexed citations
9.
Milano, Silvia, Mariarosaria Taddeo, & Luciano Floridi. (2020). Ethical aspects of multi-stakeholder recommendation systems. The Information Society. 37(1). 35–45. 27 indexed citations
10.
Milano, Silvia, Mariarosaria Taddeo, & Luciano Floridi. (2020). Recommender systems and their ethical challenges. AI & Society. 35(4). 957–967. 218 indexed citations breakdown →
11.
Burr, Christopher & Silvia Milano. (2020). The 2019 Yearbook of the Digital Ethics Lab. 3 indexed citations
12.
Milano, Silvia. (2020). Bayesian Beauty. Erkenntnis. 87(2). 657–676. 1 indexed citations
13.
Milano, Silvia, Mariarosaria Taddeo, & Luciano Floridi. (2019). Recommender Systems and their Ethical Challenges. SSRN Electronic Journal. 23 indexed citations
14.
Milano, Silvia, Mariarosaria Taddeo, & Luciano Floridi. (2019). Ethical Aspects of Multi-stakeholder Recommendation Systems. SSRN Electronic Journal. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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