Helen Monkman
- General Health Professions top 5%
- Health top 5%
- Sociology and Political Science top 10%
- Public Health, Environmental and Occupational Health
- Health Information Management top 5%
- Co-authors
- André KushnirukJanessa GriffithHusayn MaraniElizabeth M. BoryckiBlake LesselrothDebra SheetsJeff BarnettYuri Quintana
- Topics
- Mobile Health and mHealth Applications (21 papers)Health Literacy and Information Accessibility (20 papers)Electronic Health Records Systems (12 papers)
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
Helen Monkman
56 papers receiving 505 citations
Peers
Comparison fields: 5 of 90
- General Health Professions 238
- Health 187
- Sociology and Political Science 119
- Public Health, Environmental and Occupational Health 57
- Health Information Management 54
Countries citing papers authored by Helen Monkman
This map shows the geographic impact of Helen Monkman'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 Helen Monkman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Monkman more than expected).
Fields of papers citing papers by Helen Monkman
This network shows the impact of papers produced by Helen Monkman. 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 Helen Monkman. The network helps show where Helen Monkman may publish in the future.
Co-authorship network of co-authors of Helen Monkman
This figure shows the co-authorship network connecting the top 25 collaborators of Helen Monkman. A scholar is included among the top collaborators of Helen Monkman 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 Helen Monkman. Helen Monkman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 3 | |
| 12 | 152 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | Mobile Usability Testing in Healthcare: Methodological Approaches. | 11 |
| 20 | 9 |
About Helen Monkman
Helen Monkman is a scholar working on Family Practice, Health Information Management and General Health Professions, having authored 63 papers that have together received 513 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (21 papers), Health Literacy and Information Accessibility (20 papers) and Electronic Health Records Systems (12 papers). The work is most often cited by research in Health (187 citations), Health Information Management (54 citations) and General Health Professions (238 citations). Helen Monkman has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include André Kushniruk, Janessa Griffith, Husayn Marani, Elizabeth M. Borycki, Blake Lesselroth, Debra Sheets, Jeff Barnett, Yuri Quintana, Paule Bellwood and Christian Nøhr. Their work appears in journals such as Journal of Medical Internet Research, International Journal of Medical Informatics and Life.
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.