Joshua Hatherley

526 total citations
14 papers, 318 citations indexed

About

Joshua Hatherley is a scholar working on Health Informatics, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Joshua Hatherley has authored 14 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health Informatics, 7 papers in Artificial Intelligence and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Joshua Hatherley's work include Artificial Intelligence in Healthcare and Education (11 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Machine Learning in Healthcare (4 papers). Joshua Hatherley is often cited by papers focused on Artificial Intelligence in Healthcare and Education (11 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Machine Learning in Healthcare (4 papers). Joshua Hatherley collaborates with scholars based in Australia, Denmark and United Kingdom. Joshua Hatherley's co-authors include Robert Sparrow, Mark Howard, Julian Savulescu, Sven Nyholm, John McMillan, Hilary Bowman‐Smart, Brian D. Earp, Julian Koplin, Daniel Rodger and Sebastian Porsdam Mann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Nature Machine Intelligence.

In The Last Decade

Joshua Hatherley

12 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Hatherley Australia 9 179 107 102 75 43 14 318
Georg Starke Switzerland 8 118 0.7× 43 0.4× 75 0.7× 56 0.7× 40 0.9× 22 265
María José Rementeria Spain 3 114 0.6× 42 0.4× 96 0.9× 61 0.8× 24 0.6× 6 331
Helen Smith United Kingdom 8 132 0.7× 64 0.6× 61 0.6× 39 0.5× 13 0.3× 28 287
Hannah Y. Lim Singapore 5 119 0.7× 43 0.4× 64 0.6× 75 1.0× 14 0.3× 9 262
Bert Heinrichs Germany 8 51 0.3× 48 0.4× 50 0.5× 51 0.7× 40 0.9× 39 244
Jon Rueda Spain 9 56 0.3× 42 0.4× 33 0.3× 46 0.6× 67 1.6× 38 282
Yon Hee Seo South Korea 8 125 0.7× 29 0.3× 91 0.9× 30 0.4× 9 0.2× 16 323
Vincent Couture Canada 9 74 0.4× 40 0.4× 32 0.3× 53 0.7× 16 0.4× 36 288
Alka V. Menon United States 5 100 0.6× 17 0.2× 47 0.5× 68 0.9× 13 0.3× 11 267
Giovanni Rubeis Germany 10 63 0.4× 39 0.4× 38 0.4× 95 1.3× 28 0.7× 41 361

Countries citing papers authored by Joshua Hatherley

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Hatherley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Hatherley

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

All Works

14 of 14 papers shown
1.
Sparrow, Robert, et al.. (2025). Continuous learning as a threat to care. Health and Technology.
2.
Sparrow, Robert & Joshua Hatherley. (2025). The promise and perils of AI in medicine. Monash University Research Portal (Monash University).
3.
Hatherley, Joshua. (2025). A moving target in AI-assisted decision-making: dataset shift, model updating, and the problem of update opacity. Ethics and Information Technology. 27(2). 2 indexed citations
4.
Hatherley, Joshua, et al.. (2024). The FHJ debate: Will artificial intelligence replace clinical decision making within our lifetimes?. SHILAP Revista de lepidopterología. 11(3). 100178–100178. 1 indexed citations
5.
Hatherley, Joshua. (2024). Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?. Journal of Medical Ethics. 51(8). 567–573. 1 indexed citations
6.
Sparrow, Robert, et al.. (2024). Should the Use of Adaptive Machine Learning Systems in Medicine be Classified as Research?. The American Journal of Bioethics. 24(10). 58–69. 8 indexed citations
7.
Mann, Sebastian Porsdam, Brian D. Earp, Sven Nyholm, et al.. (2023). Generative AI entails a credit–blame asymmetry. Nature Machine Intelligence. 5(5). 472–475. 57 indexed citations
8.
Hatherley, Joshua, Robert Sparrow, & Mark Howard. (2023). The Virtues of Interpretable Medical AI. Cambridge Quarterly of Healthcare Ethics. 33(3). 323–332. 16 indexed citations
9.
Hatherley, Joshua, Robert Sparrow, & Mark Howard. (2022). The Virtues of Interpretable Medical Artificial Intelligence. Cambridge Quarterly of Healthcare Ethics. 1–10. 23 indexed citations
10.
Hatherley, Joshua & Robert Sparrow. (2022). Diachronic and synchronic variation in the performance of adaptive machine learning systems: the ethical challenges. Journal of the American Medical Informatics Association. 30(2). 361–366. 11 indexed citations
11.
Hatherley, Joshua. (2020). Limits of trust in medical AI. Journal of Medical Ethics. 46(7). 478–481. 132 indexed citations
12.
Sparrow, Robert & Joshua Hatherley. (2020). High Hopes for “Deep Medicine”? AI, Economics, and the Future of Care. The Hastings Center Report. 50(1). 14–17. 30 indexed citations
13.
Sparrow, Robert & Joshua Hatherley. (2019). 人工智能醫學應用的前景與風險. ArXiv.org. 17(2). 79–109. 27 indexed citations
14.
Hatherley, Joshua. (2019). Is the exclusion of psychiatric patients from access to physician-assisted suicide discriminatory?. Journal of Medical Ethics. 45(12). 817–820. 10 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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