Liam G. McCoy
- Health Informatics top 0.5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Public Health, Environmental and Occupational Health
- Health Information Management top 5%
- Co-authors
- Leo Anthony CeliSunit DasMarzyeh GhassemiVinyas HarishFelipe MorgadoJudy Wawira GichoyaSujay NagarajConnor T. A. Brenna
- Topics
- Artificial Intelligence in Healthcare and Education (15 papers)Machine Learning in Healthcare (6 papers)Healthcare cost, quality, practices (4 papers)
- Journals
- New England Journal of MedicineNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Liam G. McCoy
22 papers receiving 447 citations
Peers
Comparison fields: 5 of 103
- Health Informatics 256
- Artificial Intelligence 142
- Radiology, Nuclear Medicine and Imaging 107
- Public Health, Environmental and Occupational Health 81
- Health Information Management 46
Countries citing papers authored by Liam G. McCoy
This map shows the geographic impact of Liam G. McCoy'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 Liam G. McCoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam G. McCoy more than expected).
Fields of papers citing papers by Liam G. McCoy
This network shows the impact of papers produced by Liam G. McCoy. 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 Liam G. McCoy. The network helps show where Liam G. McCoy may publish in the future.
Co-authorship network of co-authors of Liam G. McCoy
This figure shows the co-authorship network connecting the top 25 collaborators of Liam G. McCoy. A scholar is included among the top collaborators of Liam G. McCoy 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 Liam G. McCoy. Liam G. McCoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 45 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 73 | |
| 16 | Preparing a Clinical Support Model for Silent Mode in General Internal Medicine | 5 |
| 17 | 33 | |
| 18 | 133 | |
| 19 | 6 | |
| 20 | On Meaningful Human Control in High-Stakes Machine-Human Partnerships | 2 |
About Liam G. McCoy
Liam G. McCoy is a scholar working on Health Informatics, Family Practice and Modeling and Simulation, having authored 25 papers that have together received 464 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (15 papers), Machine Learning in Healthcare (6 papers) and Healthcare cost, quality, practices (4 papers). The work is most often cited by research in Health Informatics (256 citations), Family Practice (31 citations) and Health Information Management (46 citations). Liam G. McCoy has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Leo Anthony Celi, Sunit Das, Marzyeh Ghassemi, Vinyas Harish, Felipe Morgado, Judy Wawira Gichoya, Sujay Nagaraj, Connor T. A. Brenna, Karina Vold and John D. Banja. Their work appears in journals such as New England Journal of Medicine, Nature Communications and SHILAP Revista de lepidopterología.
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.