Stephen Cave

1.9k total citations
19 papers, 925 citations indexed

About

Stephen Cave is a scholar working on Safety Research, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Stephen Cave has authored 19 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Safety Research, 7 papers in Cognitive Neuroscience and 5 papers in Sociology and Political Science. Recurrent topics in Stephen Cave's work include Ethics and Social Impacts of AI (8 papers), Neuroethics, Human Enhancement, Biomedical Innovations (7 papers) and Space Science and Extraterrestrial Life (2 papers). Stephen Cave is often cited by papers focused on Ethics and Social Impacts of AI (8 papers), Neuroethics, Human Enhancement, Biomedical Innovations (7 papers) and Space Science and Extraterrestrial Life (2 papers). Stephen Cave collaborates with scholars based in United Kingdom and United States. Stephen Cave's co-authors include Kanta Dihal, Seán Ó hÉigeartaigh, Rune Nyrup, Jess Whittlestone, Anna Alexandrova, Rafael A. Calvo, Beth Singler, Claire Craig, Karina Vold and Adrian Weller and has published in prestigious journals such as Nature, Proceedings of the IEEE and BMJ.

In The Last Decade

Stephen Cave

19 papers receiving 855 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen Cave United Kingdom 14 543 256 250 248 143 19 925
Shannon Vallor United States 13 431 0.8× 344 1.3× 264 1.1× 166 0.7× 59 0.4× 33 1.1k
Paul Formosa Australia 16 248 0.5× 178 0.7× 261 1.0× 186 0.8× 84 0.6× 67 951
Kanta Dihal United Kingdom 7 257 0.5× 128 0.5× 164 0.7× 119 0.5× 67 0.5× 10 521
Andrea L. Guzman United States 11 324 0.6× 86 0.3× 454 1.8× 425 1.7× 66 0.5× 21 1.2k
Frances S. Grodzinsky United States 15 208 0.4× 91 0.4× 207 0.8× 183 0.7× 39 0.3× 63 643
Luke Munn Australia 11 182 0.3× 64 0.3× 213 0.9× 174 0.7× 57 0.4× 43 562
P. M. Krafft United States 13 226 0.4× 45 0.2× 237 0.9× 183 0.7× 41 0.3× 31 637
Danielle Keats Citron United States 16 299 0.6× 64 0.3× 609 2.4× 438 1.8× 37 0.3× 63 1.5k
Meredith Broussard United States 9 226 0.4× 60 0.2× 266 1.1× 143 0.6× 43 0.3× 15 738
Simone Natale United Kingdom 19 222 0.4× 80 0.3× 394 1.6× 180 0.7× 30 0.2× 50 1.0k

Countries citing papers authored by Stephen Cave

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Stephen Cave

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Cave. A scholar is included among the top collaborators of Stephen Cave 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 Stephen Cave. Stephen Cave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Bohné, Thomas, et al.. (2024). Challenges of responsible AI in practice: scoping review and recommended actions. AI & Society. 40(1). 199–215. 22 indexed citations
2.
Cave, Stephen, et al.. (2023). Who makes AI? Gender and portrayals of AI scientists in popular film, 1920–2020. Public Understanding of Science. 32(6). 745–760. 8 indexed citations
3.
Zarzour, Abdalrahman, David Kim, Hong Shi, et al.. (2022). Sex-Dependent Role of Adipose Tissue HDAC9 in Diet-Induced Obesity and Metabolic Dysfunction. Cells. 11(17). 2698–2698. 8 indexed citations
4.
Cave, Stephen, Jess Whittlestone, Rune Nyrup, Seán Ó hÉigeartaigh, & Rafael A. Calvo. (2021). Using AI ethically to tackle covid-19. BMJ. 372. n364–n364. 19 indexed citations
5.
Cave, Stephen & Kanta Dihal. (2021). Race and AI: the Diversity Dilemma. Philosophy & Technology. 34(4). 1775–1779. 1 indexed citations
6.
Calvo, Rafael A., Dorian Peters, & Stephen Cave. (2020). Advancing impact assessment for intelligent systems. Nature Machine Intelligence. 2(2). 89–91. 23 indexed citations
7.
Cave, Stephen & Kanta Dihal. (2020). The Whiteness of AI. Philosophy & Technology. 33(4). 685–703. 124 indexed citations
8.
Cave, Stephen. (2020). The Problem with Intelligence. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 29–35. 32 indexed citations
9.
Cave, Stephen. (2019). Lost in the house of tomorrow: Berlin’s newest museum. Nature. 576(7786). 204–205. 1 indexed citations
10.
Cave, Stephen, et al.. (2019). "Scary Robots". 331–337. 109 indexed citations
11.
Nyrup, Rune, et al.. (2019). Why Value Judgements Should Not Be Automated. Apollo (University of Cambridge). 3 indexed citations
12.
Whittlestone, Jess, Rune Nyrup, Anna Alexandrova, & Stephen Cave. (2019). The Role and Limits of Principles in AI Ethics. 195–200. 166 indexed citations
13.
Cave, Stephen & Kanta Dihal. (2019). Hopes and fears for intelligent machines in fiction and reality. Nature Machine Intelligence. 1(2). 74–78. 157 indexed citations
14.
Cave, Stephen & Kanta Dihal. (2018). Ancient dreams of intelligent machines: 3,000 years of robots. Nature. 559(7715). 473–475. 18 indexed citations
15.
Cave, Stephen, Rune Nyrup, Karina Vold, & Adrian Weller. (2018). Motivations and Risks of Machine Ethics. Proceedings of the IEEE. 107(3). 562–574. 37 indexed citations
16.
Cave, Stephen & Seán Ó hÉigeartaigh. (2018). An AI Race for Strategic Advantage. 36–40. 58 indexed citations
17.
Cave, Stephen & Seán Ó hÉigeartaigh. (2018). An AI Race for Strategic Advantage. Apollo (University of Cambridge). 15 indexed citations
18.
Cave, Stephen, et al.. (2018). Portrayals and perceptions of AI and why they matter. Apollo (University of Cambridge). 87 indexed citations
19.
Cave, Stephen & Seán Ó hÉigeartaigh. (2018). Bridging near- and long-term concerns about AI. Nature Machine Intelligence. 1(1). 5–6. 37 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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