Silvia Milano

13 papers and 269 indexed citations i.

About

Silvia Milano is a scholar working on Artificial Intelligence, Safety Research and Sociology and Political Science. According to data from OpenAlex, Silvia Milano has authored 13 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Safety Research and 3 papers in Sociology and Political Science. Recurrent topics in Silvia Milano’s work include Recommender Systems and Techniques (3 papers), Ethics and Social Impacts of AI (3 papers) and Experimental Behavioral Economics Studies (2 papers). Silvia Milano is often cited by papers focused on Recommender Systems and Techniques (3 papers), Ethics and Social Impacts of AI (3 papers) and Experimental Behavioral Economics Studies (2 papers). Silvia Milano collaborates with scholars based in United Kingdom, United States and Italy. Silvia Milano's co-authors include Luciano Floridi, Mariarosaria Taddeo, Sabina Leonelli, Joshua A. McGrane, Chris Russell, Brent Mittelstadt, Carina Prunkl, Sandra Wachter, Zhankui He and Julian McAuley and has published in prestigious journals such as Nature Machine Intelligence, The Information Society and Philosophical Studies.

In The Last Decade

Co-authorship network of co-authors of Silvia Milano i

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.

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).

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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2025