Enrico Coiera

21.1k total citations · 2 hit papers
312 papers, 12.3k citations indexed

About

Enrico Coiera is a scholar working on General Health Professions, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Enrico Coiera has authored 312 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in General Health Professions, 79 papers in Health Information Management and 48 papers in Artificial Intelligence. Recurrent topics in Enrico Coiera's work include Electronic Health Records Systems (71 papers), Healthcare Systems and Technology (33 papers) and Healthcare Technology and Patient Monitoring (27 papers). Enrico Coiera is often cited by papers focused on Electronic Health Records Systems (71 papers), Healthcare Systems and Technology (33 papers) and Healthcare Technology and Patient Monitoring (27 papers). Enrico Coiera collaborates with scholars based in Australia, United States and United Kingdom. Enrico Coiera's co-authors include Farah Magrabi, Adam G. Dunn, Johanna Westbrook, Liliana Laranjo, Annie Lau, A. Baki Kocaballı, Jonathan R. Iredell, Guy Tsafnat, Mei‐Sing Ong and Blanca Gallego and has published in prestigious journals such as The Lancet, JAMA and Nature Medicine.

In The Last Decade

Enrico Coiera

296 papers receiving 11.7k citations

Hit Papers

Conversational agents in healthcare: a s... 2009 2026 2014 2020 2018 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enrico Coiera Australia 57 3.1k 2.9k 1.8k 1.6k 1.4k 312 12.3k
Suzanne Bakken United States 53 5.3k 1.7× 2.4k 0.8× 876 0.5× 2.0k 1.2× 532 0.4× 371 12.6k
Dean F. Sittig United States 64 3.1k 1.0× 7.3k 2.5× 1.1k 0.6× 2.4k 1.4× 2.0k 1.4× 361 14.0k
Kenneth D. Mandl United States 62 2.5k 0.8× 1.9k 0.7× 1.5k 0.8× 2.5k 1.5× 229 0.2× 299 12.9k
Hardeep Singh United States 63 3.4k 1.1× 3.2k 1.1× 584 0.3× 3.0k 1.9× 2.4k 1.7× 376 13.2k
Vimla L. Patel United States 53 1.7k 0.5× 1.8k 0.6× 1.0k 0.6× 2.1k 1.3× 1.1k 0.8× 198 8.6k
Jeremy C Wyatt United Kingdom 47 4.2k 1.4× 2.0k 0.7× 676 0.4× 2.7k 1.6× 281 0.2× 187 13.8k
J. Marc Overhage United States 51 2.3k 0.7× 4.1k 1.4× 900 0.5× 1.7k 1.1× 764 0.5× 168 10.2k
George Hripcsak United States 63 1.7k 0.5× 3.9k 1.4× 5.3k 3.0× 1.7k 1.1× 589 0.4× 371 17.0k
Blackford Middleton United States 49 2.5k 0.8× 5.6k 1.9× 1.1k 0.6× 1.6k 1.0× 661 0.5× 167 9.7k
Adam Wright United States 47 1.4k 0.5× 3.6k 1.3× 1.2k 0.7× 1.2k 0.7× 584 0.4× 281 7.8k

Countries citing papers authored by Enrico Coiera

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Coiera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Coiera

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

All Works

20 of 20 papers shown
1.
Srinivasan, Ashwin, et al.. (2025). A model for intelligible interaction between agents that predict and explain. Machine Learning. 114(4).
2.
Braithwaite, Jeffrey, Carolynn L. Smith, Lisa Pagano, et al.. (2024). Strategies and tactics to reduce the impact of healthcare on climate change: systematic review. BMJ. 387. e081284–e081284. 20 indexed citations
3.
Quiroz, Juan C., You‐Zhen Feng, Dana Rezazadegan, et al.. (2021). Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study. JMIR Medical Informatics. 9(2). e24572–e24572. 34 indexed citations
4.
Xiong, Hao, Shlomo Berkovsky, Mia Romano, et al.. (2021). Prediction of anxiety disorders using a feature ensemble based bayesian neural network. Journal of Biomedical Informatics. 123. 103921–103921. 9 indexed citations
5.
Feng, You‐Zhen, Sidong Liu, Juan C. Quiroz, et al.. (2021). Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT. Information. 12(11). 471–471. 8 indexed citations
6.
Laranjo, Liliana, et al.. (2020). A Mobile Social Networking App for Weight Management and Physical Activity Promotion: Results From an Experimental Mixed Methods Study. Journal of Medical Internet Research. 22(12). e19991–e19991. 18 indexed citations
7.
Magrabi, Farah, Ibrahim Habli, Mark Sujan, et al.. (2019). Why is it so difficult to govern mobile apps in healthcare?. BMJ Health & Care Informatics. 26(1). e100006–e100006. 36 indexed citations
8.
Yin, Kathleen, Teresa Harms, Kenneth Ho, et al.. (2018). Patient work from a context and time use perspective: a mixed-methods study protocol. BMJ Open. 8(12). e022163–e022163. 7 indexed citations
9.
Coiera, Enrico, Elske Ammenwerth, Andrew Georgiou, & Farah Magrabi. (2018). Does health informatics have a replication crisis?. Journal of the American Medical Informatics Association. 25(8). 963–968. 72 indexed citations
10.
11.
Lyell, David, Farah Magrabi, Magdalena Z. Raban, et al.. (2017). Automation bias in electronic prescribing. BMC Medical Informatics and Decision Making. 17(1). 28–28. 54 indexed citations
12.
Dunn, Adam G., et al.. (2014). Financial Conflicts of Interest and Conclusions About Neuraminidase Inhibitors for Influenza. Annals of Internal Medicine. 3 indexed citations
14.
Lau, Annie, et al.. (2012). Comparative Usage of a Web-based Personally Controlled Health Management System and Normal Support: a Case Study in IVF. 7(2). 16. 9 indexed citations
15.
Magrabi, Farah, et al.. (2011). Using Virtual Worlds to Train Healthcare Workers - A Case Study Using Second Life to Improve the Safety of Inpatient Transfers. VBN Forskningsportal (Aalborg Universitet). 7(1). 7. 2 indexed citations
16.
Coiera, Enrico & Jeffrey Braithwaite. (2009). Market-based control mechanisms for patient safety. BMJ Quality & Safety. 18(2). 99–103. 5 indexed citations
17.
Westbrook, Johanna, Enrico Coiera, A. Sophie Gosling, & Jeffrey Braithwaite. (2006). Critical incidents and journey mapping as techniques to evaluate the impact of online evidence retrieval systems on health care delivery and patient outcomes. International Journal of Medical Informatics. 76(2-3). 234–245. 35 indexed citations
18.
Coiera, Enrico, et al.. (2005). Architecture for Knowledge-Based and Federated Search of Online Clinical Evidence. Journal of Medical Internet Research. 7(5). e52–e52. 30 indexed citations
19.
Spencer, Rosemary, Pamela Logan, & Enrico Coiera. (2003). Socio-technical Factors Surrounding Practices Related to Telephone, Paging and Information System Use in an Emergency Department. 212.
20.
Magrabi, Farah, et al.. (2003). Online Evidence in General Practice: Trial of the Quick Clinical Evidence Retrieval System. 19. 1 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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