Liam G. McCoy

63 total papers · 1.1k total citations
25 papers, 453 citations indexed

About

Liam G. McCoy is a scholar working on Health Informatics, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Liam G. McCoy has authored 25 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Health Informatics, 8 papers in Artificial Intelligence and 7 papers in General Health Professions. Recurrent topics in Liam G. McCoy's work include Artificial Intelligence in Healthcare and Education (15 papers), Machine Learning in Healthcare (6 papers) and Healthcare cost, quality, practices (4 papers). Liam G. McCoy is often cited by papers focused on Artificial Intelligence in Healthcare and Education (15 papers), Machine Learning in Healthcare (6 papers) and Healthcare cost, quality, practices (4 papers). Liam G. McCoy collaborates with scholars based in United States, Canada and United Kingdom. Liam G. McCoy's co-authors include Leo Anthony Celi, Sunit Das, Marzyeh Ghassemi, Vinyas Harish, Sujay Nagaraj, Felipe Morgado, Judy Wawira Gichoya, Connor T. A. Brenna, Karina Vold and John D. Banja and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Liam G. McCoy

20 papers receiving 436 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Liam G. McCoy 248 142 107 81 46 25 453
Vinyas Harish 186 0.8× 109 0.8× 87 0.8× 71 0.9× 74 1.6× 26 435
Piyush Mathur 238 1.0× 128 0.9× 76 0.7× 75 0.9× 57 1.2× 31 497
Jasmine Chiat Ling Ong 217 0.9× 125 0.9× 95 0.9× 43 0.5× 37 0.8× 23 432
David Lyell 189 0.8× 107 0.8× 62 0.6× 62 0.8× 84 1.8× 21 433
Stephanie Teeple 226 0.9× 135 1.0× 107 1.0× 81 1.0× 34 0.7× 9 515
Ahmed Al Kuwaiti 185 0.7× 83 0.6× 89 0.8× 72 0.9× 58 1.3× 31 537
Paola Daniore 219 0.9× 143 1.0× 139 1.3× 68 0.8× 50 1.1× 20 550
Afnan Almuhanna 196 0.8× 106 0.7× 112 1.0× 45 0.6× 43 0.9× 28 406
Dana Moukheiber 166 0.7× 135 1.0× 91 0.9× 45 0.6× 32 0.7× 15 404
Christian Rose 166 0.7× 82 0.6× 79 0.7× 99 1.2× 38 0.8× 29 406

Countries citing papers authored by Liam G. McCoy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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2026