Geoff Keeling

2.5k total citations
13 papers, 105 citations indexed

About

Geoff Keeling is a scholar working on Safety Research, Cognitive Neuroscience and Health Informatics. According to data from OpenAlex, Geoff Keeling has authored 13 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Safety Research, 5 papers in Cognitive Neuroscience and 3 papers in Health Informatics. Recurrent topics in Geoff Keeling's work include Ethics and Social Impacts of AI (7 papers), Psychology of Moral and Emotional Judgment (5 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Geoff Keeling is often cited by papers focused on Ethics and Social Impacts of AI (7 papers), Psychology of Moral and Emotional Judgment (5 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Geoff Keeling collaborates with scholars based in United Kingdom, United States and Germany. Geoff Keeling's co-authors include Thomas Grote, Arianna Manzini, Iason Gabriel, Verena Rieser, Benjamin P. Lange, Kevin R. McKee, Meredith Ringel Morris, Shannon Vallor, James Evans and Nahema Marchal and has published in prestigious journals such as Nature, Philosophical Studies and Science and Engineering Ethics.

In The Last Decade

Geoff Keeling

9 papers receiving 104 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geoff Keeling United Kingdom	6	65	50	27	13	11	13	105
Snehalkumar S. Gaikwad United States	4	63 1.0×	37 0.7×	40 1.5×	2 0.2×	6 0.5×	5	126
Déborah Marciano United States	6	52 0.8×	52 1.0×	12 0.4×	3 0.2×	3 0.3×	9	142
Jai Galliott Australia	7	48 0.7×	43 0.9×	23 0.9×	4 0.3×	2 0.2×	26	146
Aakriti Kumar United States	5	30 0.5×	24 0.5×	69 2.6×	26 2.0×		10	152
Matthew O’Shaughnessy United States	3	26 0.4×	19 0.4×	20 0.7×	8 0.6×		8	84
Janina Loh Austria	6	31 0.5×	23 0.5×	9 0.3×	3 0.2×	1 0.1×	8	79
Saleh Afroogh United States	6	26 0.4×	7 0.1×	35 1.3×	15 1.2×	1 0.1×	14	133
Eddie Conlon Ireland	5	29 0.4×	20 0.4×	14 0.5×	7 0.5×		17	226
Diana Adela Martin Netherlands	7	20 0.3×	14 0.3×	10 0.4×	8 0.6×		24	213
Omid Ghasemi Australia	6	19 0.3×	23 0.5×	16 0.6×	5 0.4×		16	93

Countries citing papers authored by Geoff Keeling

Since Specialization

Citations

This map shows the geographic impact of Geoff Keeling'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 Geoff Keeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Keeling more than expected).

Fields of papers citing papers by Geoff Keeling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoff Keeling. 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 Geoff Keeling. The network helps show where Geoff Keeling may publish in the future.

Co-authorship network of co-authors of Geoff Keeling

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

All Works

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13 of 13 papers shown

1.

Lange, Benjamin P., et al.. (2025). We need accountability in human–AI agent relationships. 1(1).

2.

Gabriel, Iason & Geoff Keeling. (2025). A matter of principle? AI alignment as the fair treatment of claims. Philosophical Studies. 182(7). 1951–1973.

3.

Gabriel, Iason, Geoff Keeling, Arianna Manzini, & James Evans. (2025). We need a new ethics for a world of AI agents. Nature. 644(8075). 38–40. 3 indexed citations

4.

Keeling, Geoff, et al.. (2025). On the attribution of confidence to large language models. Inquiry. 1–27.

5.

Manzini, Arianna, et al.. (2024). The Code That Binds Us: Navigating the Appropriateness of Human-AI Assistant Relationships. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 943–957. 5 indexed citations

6.

Manzini, Arianna, Geoff Keeling, Nahema Marchal, et al.. (2024). Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment. 1174–1186. 7 indexed citations

7.

Lange, Benjamin P., et al.. (2023). Engaging engineering teams through moral imagination: a bottom-up approach for responsible innovation and ethical culture change in technology companies. AI and Ethics. 5(1). 607–616. 5 indexed citations

8.

Keeling, Geoff. (2023). Algorithmic bias, generalist models, and clinical medicine. AI and Ethics. 4(4). 1533–1544. 1 indexed citations

9.

Grote, Thomas & Geoff Keeling. (2022). Enabling Fairness in Healthcare Through Machine Learning. Ethics and Information Technology. 24(3). 39–39. 16 indexed citations

10.

Keeling, Geoff, et al.. (2022). Proper functions: etiology without typehood. Biology & Philosophy. 37(3).

11.

Keeling, Geoff. (2019). Why Trolley Problems Matter for the Ethics of Automated Vehicles. Science and Engineering Ethics. 26(1). 293–307. 51 indexed citations

12.

Burr, Christopher & Geoff Keeling. (2018). Building machines that learn and think about morality. Bristol Research (University of Bristol). 1 indexed citations

13.

Keeling, Geoff. (2018). Legal Necessity, Pareto Efficiency & Justified Killing in Autonomous Vehicle Collisions. Ethical Theory and Moral Practice. 21(2). 413–427. 16 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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