Mayli Mertens

425 total citations · 1 hit paper
12 papers, 209 citations indexed

About

Mayli Mertens is a scholar working on Health Informatics, Emergency Medicine and General Health Professions. According to data from OpenAlex, Mayli Mertens has authored 12 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health Informatics, 4 papers in Emergency Medicine and 3 papers in General Health Professions. Recurrent topics in Mayli Mertens's work include Artificial Intelligence in Healthcare and Education (4 papers), Cardiac Arrest and Resuscitation (4 papers) and Ethics and Social Impacts of AI (3 papers). Mayli Mertens is often cited by papers focused on Artificial Intelligence in Healthcare and Education (4 papers), Cardiac Arrest and Resuscitation (4 papers) and Ethics and Social Impacts of AI (3 papers). Mayli Mertens collaborates with scholars based in Belgium, Denmark and Singapore. Mayli Mertens's co-authors include Nan Liu, Marcus Eng Hock Ong, Marianne Boenink, Michel J. A. M. van Putten, Daniel Shu Wei Ting, Yilin Ning, Jasmine Chiat Ling Ong, Michael Dunn, Yohei Okada and Di Miao and has published in prestigious journals such as Resuscitation, npj Digital Medicine and Journal of Medical Ethics.

In The Last Decade

Mayli Mertens

12 papers receiving 205 citations

Hit Papers

Generative artificial intelligence and ethical considerat... 2024 2026 2025 2024 20 40 60

Peers

Mayli Mertens
Iuliu Fulga Romania
Brenda Y. Miao United States
Dev Dash United States
Jiamin Yin Singapore
Mira Moukheiber United States
Claudia E. Haupt United States
Eric Strong United States
Hussein Ibrahim United Kingdom
Avery Smith United States
Mayli Mertens
Citations per year, relative to Mayli Mertens Mayli Mertens (= 1×) peers Janny Xue Chen Ke

Countries citing papers authored by Mayli Mertens

Since Specialization
Citations

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

Fields of papers citing papers by Mayli Mertens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayli Mertens

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

All Works

12 of 12 papers shown
1.
Savulescu, Julian, Angela Ballantyne, Annette Braunack‐Mayer, et al.. (2025). Assessing Risk in Implementing New Artificial Intelligence Triage Tools—How Much Risk is Reasonable in an Already Risky World?. Asian Bioethics Review. 17(1). 187–205. 3 indexed citations
2.
Ning, Yilin, Xiaoxuan Liu, Mayli Mertens, et al.. (2025). A scoping review and evidence gap analysis of clinical AI fairness. npj Digital Medicine. 8(1). 360–360. 5 indexed citations
3.
Mertens, Mayli. (2024). The self-fulfilling prophecy in medicine. Metamedicine. 45(5). 363–385. 2 indexed citations
4.
Ning, Yilin, Julian Savulescu, Di Miao, et al.. (2024). Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist. The Lancet Digital Health. 6(11). e848–e856. 64 indexed citations breakdown →
5.
Okada, Yohei, Mayli Mertens, Nan Liu, Sean Shao Wei Lam, & Marcus Eng Hock Ong. (2023). AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges. Resuscitation Plus. 15. 100435–100435. 19 indexed citations
6.
Ning, Yilin, Mayli Mertens, Jie Xu, et al.. (2023). A translational perspective towards clinical AI fairness. npj Digital Medicine. 6(1). 41 indexed citations
7.
Mertens, Mayli & Heidi Mertes. (2023). Deconstructing self‐fulfilling outcome measures in infertility treatment. Bioethics. 38(7). 616–623. 2 indexed citations
8.
Mertens, Mayli, et al.. (2023). Self-fulfilling Prophecy in Practical and Automated Prediction. Ethical Theory and Moral Practice. 26(1). 127–152. 10 indexed citations
9.
Mertens, Mayli, et al.. (2021). Can we learn from hidden mistakes? Self-fulfilling prophecy and responsible neuroprognostic innovation. Journal of Medical Ethics. 48(11). 922–928. 37 indexed citations
10.
Til, Janine A. van, et al.. (2021). Prognostication of patients in coma after cardiac arrest: Public perspectives. Resuscitation. 169. 4–10. 4 indexed citations
11.
Mertens, Mayli, et al.. (2021). Chasing Certainty After Cardiac Arrest: Can a Technological Innovation Solve a Moral Dilemma?. Neuroethics. 14(3). 541–559. 2 indexed citations
12.
Mertens, Mayli. (2018). Liminal innovation practices: questioning three common assumptions in responsible innovation. Journal of Responsible Innovation. 5(3). 280–298. 20 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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