Chad Leaver

1.1k total citations
17 papers, 760 citations indexed

About

Chad Leaver is a scholar working on General Health Professions, Health Information Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chad Leaver has authored 17 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Health Professions, 5 papers in Health Information Management and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chad Leaver's work include Electronic Health Records Systems (5 papers), Emergency and Acute Care Studies (3 papers) and Healthcare Systems and Technology (3 papers). Chad Leaver is often cited by papers focused on Electronic Health Records Systems (5 papers), Emergency and Acute Care Studies (3 papers) and Healthcare Systems and Technology (3 papers). Chad Leaver collaborates with scholars based in Canada and United States. Chad Leaver's co-authors include James R. Dunn, Stephen W. Hwang, Toba Bryant, Kimberlyn McGrail, Guy Paré, Brian H. Rowe, Marian J. Vermeulen, Astrid Guttmann, Michael J. Schull and Merrick Zwarenstein and has published in prestigious journals such as American Journal of Public Health, Journal of Medical Internet Research and Implementation Science.

In The Last Decade

Chad Leaver

17 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad Leaver Canada 11 465 177 147 145 126 17 760
Edward Nicol South Africa 15 328 0.7× 118 0.7× 197 1.3× 170 1.2× 61 0.5× 46 837
Eva Bazant United States 17 354 0.8× 104 0.6× 100 0.7× 128 0.9× 93 0.7× 38 1.1k
Elysia Larson United States 19 467 1.0× 135 0.8× 117 0.8× 117 0.8× 59 0.5× 55 1.3k
Yigzaw Kebede Ethiopia 25 359 0.8× 195 1.1× 338 2.3× 308 2.1× 64 0.5× 43 1.3k
Busisiwe Bhengu South Africa 13 271 0.6× 111 0.6× 115 0.8× 163 1.1× 50 0.4× 43 801
Danika Barry United States 17 316 0.7× 143 0.8× 246 1.7× 69 0.5× 215 1.7× 26 1.5k
Seble Frehywot United States 10 419 0.9× 450 2.5× 64 0.4× 109 0.8× 53 0.4× 22 1.2k
Sarah Rominski United States 22 354 0.8× 307 1.7× 106 0.7× 49 0.3× 160 1.3× 65 1.2k
Gisele O’Dwyer Brazil 17 388 0.8× 185 1.0× 48 0.3× 58 0.4× 125 1.0× 65 773
Kirstin W. Scott United States 15 404 0.9× 250 1.4× 76 0.5× 53 0.4× 119 0.9× 46 1.1k

Countries citing papers authored by Chad Leaver

Since Specialization
Citations

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

Fields of papers citing papers by Chad Leaver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Leaver

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

All Works

17 of 17 papers shown
1.
Appireddy, Ramana, et al.. (2019). Home Virtual Visits for Outpatient Follow-Up Stroke Care: Cross-Sectional Study. Journal of Medical Internet Research. 21(10). e13734–e13734. 49 indexed citations
2.
Leaver, Chad, et al.. (2019). Valuing Citizen Access to Digital Health Services: Applied Value-Based Outcomes in the Canadian Context and Tools for Modernizing Health Systems. Journal of Medical Internet Research. 21(6). e12277–e12277. 7 indexed citations
3.
Paré, Guy, et al.. (2018). Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey. Journal of Medical Internet Research. 20(5). e177–e177. 64 indexed citations
4.
McGrail, Kimberlyn, et al.. (2017). Virtual Visits and Patient-Centered Care: Results of a Patient Survey and Observational Study. Journal of Medical Internet Research. 19(5). e177–e177. 108 indexed citations
5.
Vaghefi, Isaac, et al.. (2016). Understanding the Impact of Electronic Medical Record Use on Practice-Based Population Health Management: A Mixed-Method Study. JMIR Medical Informatics. 4(2). e10–e10. 16 indexed citations
6.
Leaver, Chad, et al.. (2015). The Effects of Web-Based Patient Access to Laboratory Results in British Columbia: A Patient Survey on Comprehension and Anxiety. Journal of Medical Internet Research. 17(8). e191–e191. 21 indexed citations
7.
Tu, Karen, Jessica Widdifield, Jacqueline Young, et al.. (2015). Are family physicians comprehensively using electronic medical records such that the data can be used for secondary purposes? A Canadian perspective. BMC Medical Informatics and Decision Making. 15(1). 67–67. 53 indexed citations
8.
Hagens, Simon, et al.. (2015). Valuing National Effects of Digital Health Investments: An Applied Method. Studies in health technology and informatics. 208. 165–9. 2 indexed citations
9.
Lau, Francis, et al.. (2013). Knowledge Translation in eHealth: Building a Virtual Community. Studies in health technology and informatics. 183. 257–62. 3 indexed citations
10.
Schull, Michael J., Marian J. Vermeulen, Thérèse A. Stukel, et al.. (2012). Evaluating the Effect of Clinical Decision Units on Patient Flow in Seven Canadian Emergency Departments. Academic Emergency Medicine. 19(7). 828–836. 20 indexed citations
11.
Binkley, Karen, Chad Leaver, & Joel G. Ray. (2011). Antenatal risk factors for peanut allergy in children. Allergy Asthma and Clinical Immunology. 7(1). 17–17. 7 indexed citations
12.
Leaver, Chad, Astrid Guttmann, Marian J. Vermeulen, et al.. (2011). Barriers and facilitators to the implementation of Ontario's emergency department clinical decision unit pilot program: a qualitative study. Canadian Journal of Emergency Medicine. 13(6). 363–371. 3 indexed citations
13.
Schull, Michael J., Astrid Guttmann, Chad Leaver, et al.. (2011). Prioritizing performance measurement for emergency department care: consensus on evidencebased quality of care indicators. Canadian Journal of Emergency Medicine. 13(5). 300–309. 93 indexed citations
14.
Leaver, Chad, Astrid Guttmann, Merrick Zwarenstein, et al.. (2009). Development of a minimization instrument for allocation of a hospital-level performance improvement intervention to reduce waiting times in Ontario emergency departments. Implementation Science. 4(1). 32–32. 5 indexed citations
15.
Bryant, Toba, Chad Leaver, & James R. Dunn. (2008). Unmet healthcare need, gender, and health inequalities in Canada. Health Policy. 91(1). 24–32. 109 indexed citations
16.
Leaver, Chad, et al.. (2007). The Effects of Housing Status on Health-Related Outcomes in People living with HIV: A Systematic Review of the Literature. AIDS and Behavior. 11(S2). 85–100. 184 indexed citations
17.
Leaver, Chad, et al.. (2004). Effectiveness of HIV Prevention in Ontario, Canada: A Multilevel Comparison of Bisexual Men. American Journal of Public Health. 94(7). 1181–1185. 16 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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