Luk Arbuckle
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Privacy-Preserving Technologies in Data 2
-
- Ethics in Clinical Research 3
- Co-authors
- Khaled El Emam (11 shared papers)Elizabeth Jonker (6 shared papers)Bradley Malin (2 shared papers)Jacqueline L. Bender (1 shared paper)Lorraine E. Ferris (1 shared paper)Craig C. Earle (2 shared papers)Saeed Samet (2 shared papers)Felix Ritchie (1 shared paper)
- Journals
- Journal of Medical Internet Research (4 papers)PLoS ONE (3 papers)npj Digital Medicine (1 paper)Journal of the American Medical Informatics Association (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Luk Arbuckle
14 papers receiving 579 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 41
- Health Information Management 40
- Artificial Intelligence 243
- Health 51
- Public Health, Environmental and Occupational Health 109
Countries citing papers authored by Luk Arbuckle
This map shows the geographic impact of Luk Arbuckle'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 Luk Arbuckle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luk Arbuckle more than expected).
Fields of papers citing papers by Luk Arbuckle
This network shows the impact of papers produced by Luk Arbuckle. 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 Luk Arbuckle. The network helps show where Luk Arbuckle may publish in the future.
Co-authors
The 25 scholars most cited alongside Luk Arbuckle, 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 | 2011 | 280 | |
| 2 | 2017 | 96 | |
| 3 | 2012 | 48 | |
| 4 | Anonymizing Health Data: Case Studies and Methods to Get You Started | 2013 | 47 |
| 5 | 2012 | 45 | |
| 6 | 2013 | 20 | |
| 7 | 2019 | 17 | |
| 8 | 2012 | 16 | |
| 9 | 2016 | 16 | |
| 10 | 2015 | 9 | |
| 11 | 2014 | 8 | |
| 12 | 2017 | 4 | |
| 13 | 2012 | 4 | |
| 14 | 2025 | 2 | |
| 15 | 2020 | 0 |
About Luk Arbuckle
Luk Arbuckle is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health, Health Information Management, Management Science and Operations Research and Health, having authored 15 papers that have together received 612 indexed citations. Recurring topics across this work include Ethics in Clinical Research (3 papers), Privacy-Preserving Technologies in Data (2 papers), Data Quality and Management (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Artificial Intelligence in Healthcare (1 paper), Electronic Health Records Systems (1 paper), scientometrics and bibliometrics research (1 paper) and Medical Malpractice and Liability Issues (1 paper). The work is most often cited by research in Health Informatics (41 citations), Health Information Management (40 citations), Artificial Intelligence (243 citations), Health (51 citations) and Public Health, Environmental and Occupational Health (109 citations). Luk Arbuckle has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Khaled El Emam, Elizabeth Jonker, Bradley Malin, Jacqueline L. Bender, Lorraine E. Ferris, Craig C. Earle, Saeed Samet, Felix Ritchie, Murat Kantarcıoğlu and Robyn Tamblyn. Their work appears in journals such as Journal of Medical Internet Research, PLoS ONE, npj Digital Medicine, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.
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.