Andrew Moey

792 total citations
3 papers, 24 citations indexed

About

Andrew Moey is a scholar working on Epidemiology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Andrew Moey has authored 3 papers receiving a total of 24 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Artificial Intelligence and 1 paper in Health Information Management. Recurrent topics in Andrew Moey's work include Acute Ischemic Stroke Management (3 papers), Machine Learning in Healthcare (2 papers) and Artificial Intelligence in Healthcare (1 paper). Andrew Moey is often cited by papers focused on Acute Ischemic Stroke Management (3 papers), Machine Learning in Healthcare (2 papers) and Artificial Intelligence in Healthcare (1 paper). Andrew Moey collaborates with scholars based in Australia, United Kingdom and Barbados. Andrew Moey's co-authors include Jim Jannes, Simon A. Koblar, Steve Chryssidis, Martin Robinson, Luke Oakden‐Rayner, Stephen Bacchi, David Menon, Timothy Kleinig, Brandon Stretton and Wilson Vallat and has published in prestigious journals such as The Medical Journal of Australia and Journal of Clinical Neuroscience.

In The Last Decade

Andrew Moey

3 papers receiving 23 citations

Peers

Andrew Moey
Sujitha Velagapudi United States
Luís Bronze Portugal
Tovohery Andriambelo Rajaonera Democratic Republic of the Congo
J. Maurice Hourihane United States
Louie Tirador Australia
Rasha Alharthi Saudi Arabia
Andrew Moey
Citations per year, relative to Andrew Moey Andrew Moey (= 1×) peers Alexandra Filipov

Countries citing papers authored by Andrew Moey

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Moey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Moey

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

All Works

3 of 3 papers shown
1.
Cook, Benjamin K., Brandon Stretton, Joshua G. Kovoor, et al.. (2024). Large language models can effectively extract stroke and reperfusion audit data from medical free-text discharge summaries. Journal of Clinical Neuroscience. 129. 110847–110847. 6 indexed citations
2.
Bacchi, Stephen, Luke Oakden‐Rayner, David Menon, et al.. (2022). Prospective and external validation of stroke discharge planning machine learning models. Journal of Clinical Neuroscience. 96. 80–84. 8 indexed citations
3.
Moey, Andrew, Simon A. Koblar, Steve Chryssidis, Martin Robinson, & Jim Jannes. (2012). Endovascular therapy after stroke in a patient treated with dabigatran. The Medical Journal of Australia. 196(7). 469–471. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026