David L. Buckeridge

11.3k total citations
290 papers, 6.2k citations indexed

About

David L. Buckeridge is a scholar working on Epidemiology, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, David L. Buckeridge has authored 290 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Epidemiology, 47 papers in Modeling and Simulation and 38 papers in Molecular Biology. Recurrent topics in David L. Buckeridge's work include Data-Driven Disease Surveillance (79 papers), Influenza Virus Research Studies (50 papers) and COVID-19 epidemiological studies (47 papers). David L. Buckeridge is often cited by papers focused on Data-Driven Disease Surveillance (79 papers), Influenza Virus Research Studies (50 papers) and COVID-19 epidemiological studies (47 papers). David L. Buckeridge collaborates with scholars based in Canada, United States and United Kingdom. David L. Buckeridge's co-authors include Robyn Tamblyn, Tewodros Eguale, Aman Verma, Michał Abrahamowicz, Nancy Winslade, Samuel L. Groseclose, James A. Hanley, John S. Brownstein, Christian M. Rochefort and Allen Huang and has published in prestigious journals such as New England Journal of Medicine, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

David L. Buckeridge

277 papers receiving 5.9k citations

Peers

David L. Buckeridge
Ly‐Mee Yu United Kingdom
Simon de Lusignan United Kingdom
Laura C. Rosella Canada
Kenneth D. Mandl United States
Marc Aerts Belgium
Robert Fowler Canada
Lotty Hooft Netherlands
Mark Jones Australia
Jeffrey A. Linder United States
Philip M. Polgreen United States
Ly‐Mee Yu United Kingdom
David L. Buckeridge
Citations per year, relative to David L. Buckeridge David L. Buckeridge (= 1×) peers Ly‐Mee Yu

Countries citing papers authored by David L. Buckeridge

Since Specialization
Citations

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

Fields of papers citing papers by David L. Buckeridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Buckeridge. 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 David L. Buckeridge. The network helps show where David L. Buckeridge may publish in the future.

Co-authorship network of co-authors of David L. Buckeridge

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

All Works

20 of 20 papers shown
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Ziegler, Carolyn, Shehzad Ali, David L. Buckeridge, et al.. (2025). Machine learning used to study risk factors for chronic diseases: A scoping review. Canadian Journal of Public Health. 117(1). 125–139. 1 indexed citations
3.
Pinto, Andrew D., Shehzad Ali, David L. Buckeridge, et al.. (2025). Machine Learning Applications in Population and Public Health: Guidelines for Development, Testing, and Implementation. JMIR Public Health and Surveillance. 11. e68952–e68952.
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Jani, Meghna, Nadyne Girard, David W. Bates, et al.. (2024). Comparative risk of mortality in new users of prescription opioids for noncancer pain: results from the International Pharmacosurveillance Study. Pain. 166(5). 1118–1127. 1 indexed citations
6.
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Maharaj, Tegan, Nasim Rahaman, Hannah Alsdurf, et al.. (2023). Proactive Contact Tracing. SHILAP Revista de lepidopterología. 2(3). e0000199–e0000199. 7 indexed citations
8.
Mullie, Louis, Jonathan Afilalo, Patrick Archambault, et al.. (2023). CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data. Journal of the American Medical Informatics Association. 31(3). 651–665. 8 indexed citations
9.
Jani, Meghna, Nadyne Girard, David W. Bates, et al.. (2021). Opioid prescribing among new users for non-cancer pain in the USA, Canada, UK, and Taiwan: A population-based cohort study. PLoS Medicine. 18(11). e1003829–e1003829. 21 indexed citations
10.
Weir, Daniala L., Aude Motulsky, Michał Abrahamowicz, et al.. (2020). Failure to follow medication changes made at hospital discharge is associated with adverse events in 30 days. Health Services Research. 55(4). 512–523. 23 indexed citations
11.
Pye, Stephen R., Thérèse Sheppard, Rebecca M. Joseph, et al.. (2018). Assumptions made when preparing drug exposure data for analysis have an impact on results: An unreported step in pharmacoepidemiology studies. Pharmacoepidemiology and Drug Safety. 27(7). 781–788. 38 indexed citations
12.
Luo, Yu, et al.. (2017). Multivariate and Longitudinal Health System Indicators.. PubMed. 235. 266–270. 2 indexed citations
13.
Fell, Deshayne B., Robert W. Platt, Andrea Lanes, et al.. (2014). Fetal death and preterm birth associated with maternal influenza vaccination: systematic review. BJOG An International Journal of Obstetrics & Gynaecology. 122(1). 17–26. 89 indexed citations
14.
Moore, Spencer, David L. Buckeridge, & Laurette Dubé. (2014). Cohort Profile: The Montreal Neighbourhood Networks and Healthy Aging (MoNNET-HA) study. International Journal of Epidemiology. 45(1). 45–53. 5 indexed citations
15.
Heidebrecht, Christine, Susan Quach, Jennifer Pereira, et al.. (2012). Incorporating Scannable Forms into Immunization Data Collection Processes: A Mixed-Methods Study. PLoS ONE. 7(12). e49627–e49627. 8 indexed citations
16.
Tamblyn, Robyn, Allen Huang, Ari N. Meguerditchian, et al.. (2012). Using novel Canadian resources to improve medication reconciliation at discharge: study protocol for a randomized controlled trial. Trials. 13(1). 150–150. 26 indexed citations
17.
Kass‐Hout, Taha, Zhiheng Xu, So-Youn Park, et al.. (2012). Application of change point analysis to daily influenza-like illness emergency department visits. Journal of the American Medical Informatics Association. 19(6). 1075–1081. 55 indexed citations
18.
Heidebrecht, Christine, Jennifer Pereira, Susan Quach, et al.. (2011). Approaches to Immunization Data Collection Employed Across Canada During the Pandemic (H1N1) 2009 Influenza Vaccination Campaign. Canadian Journal of Public Health. 102(5). 349–354. 3 indexed citations
19.
Buckeridge, David L. & Vivek Goel. (2001). Health Informatics Education: An Opportunity for Public Health in Canada. Canadian Journal of Public Health. 92(3). 233–236. 5 indexed citations
20.
Campbell, Monica, David L. Buckeridge, John J. M. Dwyer, et al.. (2000). A Systematic Review of the Effectiveness of Environmental Awareness Interventions. Canadian Journal of Public Health. 91(2). 137–143. 13 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.

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