Stephen Cave
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 0.5%
- Ethics and Social Impacts of AI
Papers in
-
- Ethics and Social Impacts of AI 8
-
- Neuroethics, Human Enhancement, Biomedical Innovations 7
- Psychology of Moral and Emotional Judgment 2
- Co-authors
- Kanta Dihal (7 shared papers)Seán Ó hÉigeartaigh (4 shared papers)Rune Nyrup (4 shared papers)Jess Whittlestone (2 shared papers)Anna Alexandrova (1 shared paper)Rafael A. Calvo (3 shared papers)Beth Singler (1 shared paper)Claire Craig (1 shared paper)
- Journals
- Nature Machine Intelligence (3 papers)Nature (2 papers)Philosophy & Technology (2 papers)AI & Society (1 paper)Proceedings of the IEEE (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Stephen Cave
19 papers receiving 922 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 148
- Safety Research 563
- Cognitive Neuroscience 258
- Computer Science Applications 46
- General Social Sciences 27
Countries citing papers authored by Stephen Cave
This map shows the geographic impact of Stephen Cave'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 Stephen Cave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Cave more than expected).
Fields of papers citing papers by Stephen Cave
This network shows the impact of papers produced by Stephen Cave. 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 Stephen Cave. The network helps show where Stephen Cave may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Cave, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 178 | |
| 2 | 2019 | 177 | |
| 3 | 2020 | 135 | |
| 4 | 2019 | 115 | |
| 5 | 2018 | 87 | |
| 6 | 2018 | 61 | |
| 7 | 2018 | 37 | |
| 8 | 2018 | 37 | |
| 9 | 2020 | 32 | |
| 10 | 2024 | 29 | |
| 11 | 2020 | 23 | |
| 12 | 2021 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2018 | 15 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 8 | |
| 17 | 2019 | 3 | |
| 18 | 2019 | 1 | |
| 19 | 2021 | 1 |
About Stephen Cave
Stephen Cave is a scholar working on Safety Research, Cognitive Neuroscience, Sociology and Political Science, Astronomy and Astrophysics and Information Systems, having authored 19 papers that have together received 987 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (8 papers), Neuroethics, Human Enhancement, Biomedical Innovations (7 papers), Space Science and Extraterrestrial Life (2 papers), Psychology of Moral and Emotional Judgment (2 papers), Social and Intergroup Psychology (2 papers), Digital Education and Society (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Youth Education and Societal Dynamics (1 paper). The work is most often cited by research in Health Informatics (148 citations), Safety Research (563 citations), Cognitive Neuroscience (258 citations), Computer Science Applications (46 citations) and General Social Sciences (27 citations). Stephen Cave has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Kanta Dihal, Seán Ó hÉigeartaigh, Rune Nyrup, Jess Whittlestone, Anna Alexandrova, Rafael A. Calvo, Beth Singler, Claire Craig, Sarah Dillon and Karina Vold. Their work appears in journals such as Nature Machine Intelligence, Nature, Philosophy & Technology, AI & Society and Proceedings of the IEEE.
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.