James Shaw

6.0k citations
128 papers · 3.6k indexed · h-index 33

Impact in

Papers in

    • Artificial Intelligence in Healthcare and Education 14
    • Interprofessional Education and Collaboration 13
    • Mobile Health and mHealth Applications 12
    • Health Policy Implementation Science 10
    • Geriatric Care and Nursing Homes 7

James Shaw

117 papers receiving 3.5k citations

Peers

James Shaw
Comparison fields: 5 of 190
  • Health Informatics 376
  • Applied Psychology 242
  • General Health Professions 927
  • Health Information Management 156
  • Family Practice 59
Replace Monika Janda with:
Monika Janda Australia
Bernice S. Elger Switzerland
Chris Sidey‐Gibbons United States
Dominic King United Kingdom
Gabriella Pravettoni Italy
Shabbir Syed-Abdul Taiwan
John H. Holmes United States
Joseph C. Kvedar United States
Ecosse L. Lamoureux Singapore
Paul Wicks United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside James Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Shaw Line = papers co-authored together James Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011467
2 2019221
3 2017156
4 2019126
5 2018125
6 2017119
7 2021111
8 2018106
9 200793
10 200591
11 202089
12 200879
13 200774
14 200665
15 201862
16 201861
17 201159
18 201951
19 201251
20 201849

About James Shaw

James Shaw is a scholar working on Health Informatics, General Health Professions, Issues, ethics and legal aspects, Applied Psychology and Occupational Therapy, having authored 128 papers that have together received 3.6k indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (19 papers), Artificial Intelligence in Healthcare and Education (14 papers), Interprofessional Education and Collaboration (13 papers), Mobile Health and mHealth Applications (12 papers), Health Policy Implementation Science (10 papers), Ethics in Clinical Research (8 papers), Digital Mental Health Interventions (8 papers) and Geriatric Care and Nursing Homes (7 papers). The work is most often cited by research in Health Informatics (376 citations), Applied Psychology (242 citations), General Health Professions (927 citations), Health Information Management (156 citations) and Family Practice (59 citations). James Shaw has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Lorrie A. Kirshenbaum, Joseph W. Gordon, Trevor Jamieson, R. Sacha Bhatia, Payal Agarwal, Frank Rudzicz, Laura Desveaux, Avi Goldfarb, Natalia Yurkova and Tiffany C. Veinot. Their work appears in journals such as Journal of Medical Internet Research, npj Digital Medicine, Qualitative Health Research, International Journal of Integrated Care and Circulation Research.

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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