AI & Society

2.2k papers and 18.6k indexed citations i.

About

The 2.2k papers published in AI & Society in the last decades have received a total of 18.6k indexed citations. Papers published in AI & Society usually cover Safety Research (608 papers), Cognitive Neuroscience (485 papers) and Artificial Intelligence (437 papers) specifically the topics of Ethics and Social Impacts of AI (598 papers), Neuroethics, Human Enhancement, Biomedical Innovations (233 papers) and Psychology of Moral and Emotional Judgment (131 papers). The most active scholars publishing in AI & Society are Mark Coeckelbergh, Wim Naudé, Karamjit S. Gill, David Kirsh, Luciano Floridi, Mariarosaria Taddeo, Tatsuya Nomura, Alan Bundy, Takayuki Kanda and Bogdan Batrinca.

In The Last Decade

Fields of papers published in AI & Society

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in AI & Society. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in AI & Society.

Countries where authors publish in AI & Society

Since Specialization
Citations

This map shows the geographic impact of research published in AI & Society. 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 papers published in AI & Society with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites AI & Society 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