David Lyell
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
Papers in
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- Electronic Health Records Systems 10
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- Artificial Intelligence in Healthcare and Education 9
- Co-authors
- Enrico Coiera (11 shared papers)Farah Magrabi (16 shared papers)Jessica Chen (1 shared paper)Parina Shah (1 shared paper)Melissa Baysari (1 shared paper)Richard O. Day (1 shared paper)Ying Wang (3 shared papers)Magdalena Z. Raban (1 shared paper)
In The Last Decade
David Lyell
16 papers receiving 436 citations
Peers
Comparison fields: 5 of 97
- Health Informatics 196
- Health Information Management 84
- Family Practice 30
- Medical Laboratory Technology 19
- Issues, ethics and legal aspects 7
Countries citing papers authored by David Lyell
This map shows the geographic impact of David Lyell'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 David Lyell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lyell more than expected).
Fields of papers citing papers by David Lyell
This network shows the impact of papers produced by David Lyell. 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 David Lyell. The network helps show where David Lyell may publish in the future.
Co-authors
The 17 scholars most cited alongside David Lyell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 171 | |
| 2 | 2017 | 54 | |
| 3 | 2021 | 51 | |
| 4 | 2018 | 44 | |
| 5 | 2023 | 30 | |
| 6 | 2021 | 29 | |
| 7 | 2023 | 20 | |
| 8 | 2019 | 14 | |
| 9 | 2020 | 7 | |
| 10 | 2023 | 7 | |
| 11 | Defence capability management: introduction into service of multi-role helicopters | 2006 | 5 |
| 12 | A dynamic balanced scorecard for managing health systems performance | 2007 | 5 |
| 13 | 2020 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About David Lyell
David Lyell is a scholar working on Health Information Management, Health Informatics, Surgery, Artificial Intelligence and Medical Laboratory Technology, having authored 21 papers that have together received 444 indexed citations. Recurring topics across this work include Electronic Health Records Systems (10 papers), Artificial Intelligence in Healthcare and Education (9 papers), Healthcare Technology and Patient Monitoring (5 papers), Quality and Safety in Healthcare (4 papers), Patient Safety and Medication Errors (3 papers), COVID-19 diagnosis using AI (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers) and Nursing Diagnosis and Documentation (2 papers). The work is most often cited by research in Health Informatics (196 citations), Health Information Management (84 citations), Family Practice (30 citations), Medical Laboratory Technology (19 citations) and Issues, ethics and legal aspects (7 citations). David Lyell has collaborated with scholars based in Australia, Indonesia and Sri Lanka. Frequent co-authors include Enrico Coiera, Farah Magrabi, Jessica Chen, Parina Shah, Melissa Baysari, Richard O. Day, Ying Wang, Magdalena Z. Raban, Lisa Pont and Shlomo Berkovsky. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Clinical Informatics, Human Factors The Journal of the Human Factors and Ergonomics Society, Emergency Medicine Journal and BMC Medical Informatics and Decision Making.
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.