James Shaw

6.0k total citations
128 papers, 3.6k citations indexed

About

James Shaw is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Health Informatics. According to data from OpenAlex, James Shaw has authored 128 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in General Health Professions, 38 papers in Public Health, Environmental and Occupational Health and 14 papers in Health Informatics. Recurrent topics in James Shaw's work include Telemedicine and Telehealth Implementation (19 papers), Artificial Intelligence in Healthcare and Education (14 papers) and Interprofessional Education and Collaboration (13 papers). James Shaw is often cited by papers focused on Telemedicine and Telehealth Implementation (19 papers), Artificial Intelligence in Healthcare and Education (14 papers) and Interprofessional Education and Collaboration (13 papers). James Shaw collaborates with scholars based in Canada, United Kingdom and United States. James Shaw's co-authors include Lorrie A. Kirshenbaum, Joseph W. Gordon, Trevor Jamieson, R. Sacha Bhatia, Frank Rudzicz, Payal Agarwal, Laura Desveaux, Avi Goldfarb, Natalia Yurkova and LaPrincess C. Brewer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Circulation.

In The Last Decade

James Shaw

117 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Shaw Canada 33 927 683 670 450 395 128 3.6k
Ida Sim United States 35 963 1.0× 1.0k 1.5× 917 1.4× 298 0.7× 235 0.6× 112 4.9k
Kevin B. Johnson United States 34 1.3k 1.4× 730 1.1× 768 1.1× 150 0.3× 259 0.7× 125 4.8k
David F. Lobach United States 29 1.2k 1.2× 803 1.2× 1.1k 1.6× 288 0.6× 447 1.1× 97 5.5k
John H. Holmes United States 41 775 0.8× 975 1.4× 842 1.3× 267 0.6× 643 1.6× 158 6.3k
Wim Janssens Belgium 51 384 0.4× 608 0.9× 415 0.6× 695 1.5× 579 1.5× 315 10.6k
Gabriella Pravettoni Italy 43 1.1k 1.1× 274 0.4× 754 1.1× 237 0.5× 211 0.5× 317 5.7k
Yi Guo United States 30 503 0.5× 324 0.5× 328 0.5× 124 0.3× 330 0.8× 262 4.1k
Monique Jaspers Netherlands 31 1.3k 1.4× 333 0.5× 1.0k 1.6× 176 0.4× 219 0.6× 149 4.5k
Justin Starren United States 37 1.2k 1.3× 614 0.9× 857 1.3× 267 0.6× 572 1.4× 137 4.7k
Ellen Wright Clayton United States 38 716 0.8× 750 1.1× 2.0k 3.0× 217 0.5× 325 0.8× 194 6.2k

Countries citing papers authored by James Shaw

Since Specialization
Citations

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

Fields of papers citing papers by James Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of James Shaw. A scholar is included among the top collaborators of James Shaw 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 James Shaw. James Shaw 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
1.
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
2.
Vogrin, Sara, Jiwon Kim, Diem Dinh, et al.. (2025). Effect of Cardiac Surgery Availability and Institutional Procedural Volume on Clinical Outcomes Following Complex, High‐Risk, and Indicated Percutaneous Coronary Intervention. Catheterization and Cardiovascular Interventions. 106(7). 3969–3981.
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.
4.
Rosella, Laura C., James Shaw, Shion Guha, et al.. (2025). A participatory approach to deploy responsible artificial intelligence for diabetes prediction and prevention. Digital Health. 11. 610002253–610002253. 1 indexed citations
5.
Abejirinde, Ibukun‐Oluwa Omolade, Kathy Kornas, Shion Guha, et al.. (2025). Principles and Practices of Community Engagement in AI for Population Health: Formative Qualitative Study of the AI for Diabetes Prediction and Prevention Project. PubMed. 17. e69497–e69497.
6.
Shaw, James, Joseph Ali, Caesar Atuire, et al.. (2024). Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research. BMC Medical Ethics. 25(1). 46–46. 21 indexed citations
7.
Wasilewski, Marina B., Amanda L. Mayo, Laura Desveaux, et al.. (2024). Patient and Provider Experiences With Compassionate Care in Virtual Physiatry: Qualitative Study. Journal of Medical Internet Research. 26. e51878–e51878.
8.
Shaw, James, et al.. (2024). The relationship between treatment burden and the use of telehealth technologies among patients with chronic conditions: A scoping review. Health Policy and Technology. 13(2). 100855–100855. 7 indexed citations
9.
Hogeveen, Sophie, et al.. (2023). Health equity related challenges and experiences during the rapid implementation of virtual care during COVID-19: a multiple case study. International Journal for Equity in Health. 22(1). 44–44. 11 indexed citations
10.
Marani, Husayn, James Shaw, & Gregory P. Marchildon. (2023). Challenges navigating publicly funded home care in Ontario, Canada: Perspectives from unpaid caregivers of persons living with dementia. Dementia. 22(7). 1626–1645. 2 indexed citations
11.
Budhwani, Suman, Jamie Fujioka, Sophie Hogeveen, et al.. (2022). Challenges and strategies for promoting health equity in virtual care: findings and policy directions from a scoping review of reviews. Journal of the American Medical Informatics Association. 29(5). 990–999. 40 indexed citations
12.
Harish, Vinyas, Lori Diemert, Ashleigh R. Tuite, et al.. (2022). Governing partnerships with technology companies as part of the COVID-19 response in Canada: A qualitative case study. SHILAP Revista de lepidopterología. 1(12). e0000164–e0000164. 5 indexed citations
13.
Desveaux, Laura, Suman Budhwani, Vess Stamenova, et al.. (2021). Closing the Virtual Gap in Health Care: A Series of Case Studies Illustrating the Impact of Embedding Evaluation Alongside System Initiatives. Journal of Medical Internet Research. 23(9). e25797–e25797. 2 indexed citations
14.
Alami, Hassane, Pascale Lehoux, Yannick Auclair, et al.. (2020). Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity. Journal of Medical Internet Research. 22(7). e17707–e17707. 89 indexed citations
15.
Burns, David, Helen Razmjou, James Shaw, et al.. (2020). Adherence Tracking With Smart Watches for Shoulder Physiotherapy in Rotator Cuff Pathology: Protocol for a Longitudinal Cohort Study. JMIR Research Protocols. 9(7). e17841–e17841. 18 indexed citations
16.
Stamenova, Vess, Rebecca Yang, Allen Greenwald, et al.. (2020). Technology-Enabled Self-Management of Chronic Obstructive Pulmonary Disease With or Without Asynchronous Remote Monitoring: Randomized Controlled Trial. Journal of Medical Internet Research. 22(7). e18598–e18598. 32 indexed citations
17.
Hensel, Jennifer, James Shaw, Noah Ivers, et al.. (2019). A Web-Based Mental Health Platform for Individuals Seeking Specialized Mental Health Care Services: Multicenter Pragmatic Randomized Controlled Trial. Journal of Medical Internet Research. 21(6). e10838–e10838. 21 indexed citations
18.
Jeffs, Lianne, Trevor Jamieson, Marianne Saragosa, et al.. (2019). Uptake and Scalability of a Peritoneal Dialysis Virtual Care Solution: Qualitative Study. JMIR Human Factors. 6(2). e9720–e9720. 2 indexed citations
19.
Desveaux, Laura, James Shaw, Marianne Saragosa, et al.. (2018). A Mobile App to Improve Self-Management of Individuals With Type 2 Diabetes: Qualitative Realist Evaluation. Journal of Medical Internet Research. 20(3). e81–e81. 49 indexed citations
20.
Agarwal, Payal, Geetha Mukerji, Laura Desveaux, et al.. (2018). Mobile App for Improved Self-Management of Type 2 Diabetes: Multicenter Pragmatic Randomized Controlled Trial. JMIR mhealth and uhealth. 7(1). e10321–e10321. 125 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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