André Carrington
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- AI in cancer detection
- Adversarial Robustness in Machine Learning
Papers in
-
- Health, psychology, and well-being 1
- Co-authors
- Andreas Holzinger (2 shared papers)Heimo Müller (1 shared paper)Paul Fieguth (2 shared papers)Helen Chen (2 shared papers)Douglas G. Manuel (1 shared paper)Darine El‐Chaâr (1 shared paper)Richard I. Aviv (3 shared papers)Mark Walker (1 shared paper)
- Journals
- Multiple Sclerosis and Related Disorders (1 paper)Canadian Journal of Emergency Medicine (1 paper)BMC Medical Informatics and Decision Making (1 paper)JMIR Public Health and Surveillance (1 paper)PLoS ONE (1 paper)
- Partner nations
- CanadaAustriaUnited States
In The Last Decade
André Carrington
4 papers receiving 342 citations
Peers
Comparison fields: 5 of 107
- Health Informatics 100
- Artificial Intelligence 203
- Family Practice 11
- Health Information Management 23
- Safety Research 38
Countries citing papers authored by André Carrington
This map shows the geographic impact of André Carrington'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 André Carrington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Carrington more than expected).
Fields of papers citing papers by André Carrington
This network shows the impact of papers produced by André Carrington. 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 André Carrington. The network helps show where André Carrington may publish in the future.
Co-authors
The 25 scholars most cited alongside André Carrington, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 216 | |
| 2 | 2020 | 118 | |
| 3 | 2022 | 16 | |
| 4 | 2014 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 0 | |
| 8 | 2020 | 0 |
About André Carrington
André Carrington is a scholar working on Artificial Intelligence, General Health Professions, Radiology, Nuclear Medicine and Imaging, Surgery and Pathology and Forensic Medicine, having authored 8 papers that have together received 352 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (1 paper), Digital Imaging for Blood Diseases (1 paper), Clinical practice guidelines implementation (1 paper), Medical Coding and Health Information (1 paper), Health, psychology, and well-being (1 paper), Acute Ischemic Stroke Management (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). The work is most often cited by research in Health Informatics (100 citations), Artificial Intelligence (203 citations), Family Practice (11 citations), Health Information Management (23 citations) and Safety Research (38 citations). André Carrington has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include Andreas Holzinger, Heimo Müller, Paul Fieguth, Helen Chen, Douglas G. Manuel, Darine El‐Chaâr, Richard I. Aviv, Mark Walker, Katherine A. Muldoon and Alysha L. J. Dingwall‐Harvey. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Canadian Journal of Emergency Medicine, BMC Medical Informatics and Decision Making, JMIR Public Health and Surveillance and PLoS ONE.
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.