Nancy Dalgarno

64 papers receiving 799 citations

Nancy Dalgarno's Hit Papers

Eight ways to get a grip on intercoder reliability using qualitative-based measures 2022 · 117 citations
1170+1+2Years since publication255075100

Peers

Nancy Dalgarno
Comparison fields: 5 of 111
  • Family Practice 58
  • Public Health, Environmental and Occupational Health 292
  • Health Informatics 12
  • Pharmacy 29
  • General Health Professions 94
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Stephen Trumble Australia
Scheltus J. van Luijk Netherlands
Hywel Thomas United Kingdom
Jacob M. Appel United States
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Nikki L. Bibler Zaidi United States
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Citations per year

Countries citing papers authored by Nancy Dalgarno

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Dalgarno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nancy Dalgarno, 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 Nancy Dalgarno Line = papers co-authored together Nancy Dalgarno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Eight ways to get a grip on intercoder reliability using qualitative-based measures
Hit paper breakdown →
2022117
2 200667
3 201844
4 201943
5 202336
6 201734
7 201933
8 201929
9 201929
10 201727
11
Assessing the quality of feedback to general internal medicine residents in a competency-based environment.
201921
12 202019
13 202018
14 201916
15 202115
16
Exploring family medicine preceptor and resident perceptions of medical assistance in dying and desires for education.
201815
17 202114
18 202113
19 202213
20 202012

About Nancy Dalgarno

Nancy Dalgarno is a scholar working on Public Health, Environmental and Occupational Health, Family Practice, General Health Professions, Pharmacy and Education, having authored 71 papers that have together received 824 indexed citations. Recurring topics across this work include Innovations in Medical Education (24 papers), Clinical Reasoning and Diagnostic Skills (7 papers), Empathy and Medical Education (4 papers), Interprofessional Education and Collaboration (4 papers), Reflective Practices in Education (3 papers), Mental Health and Patient Involvement (3 papers), Obesity and Health Practices (3 papers) and Bariatric Surgery and Outcomes (3 papers). The work is most often cited by research in Family Practice (58 citations), Public Health, Environmental and Occupational Health (292 citations), Health Informatics (12 citations), Pharmacy (29 citations) and General Health Professions (94 citations). Nancy Dalgarno has collaborated with scholars based in Canada, United States and Bangladesh. Frequent co-authors include Heather Braund, Nicholas Cofie, Susan P. Phillips, Rylan G. Egan, Karen K. Schultz, Richard Birtwhistle, June Harris, Damon Dagnone, Jane Montgomery Griffiths and Boris Zevin. Their work appears in journals such as BMC Medical Education, Academic Medicine, Canadian Family Physician, Medical Teacher and Canadian Journal of Ophthalmology.

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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