Barbara Barry
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Artificial Intelligence in Healthcare and Education 14
-
- Topic Modeling 3
- Semantic Web and Ontologies 3
- Co-authors
- Xuan Zhu (9 shared papers)Timothy Bickmore (5 shared papers)Richard R. Sharp (9 shared papers)Susan Curtis (5 shared papers)ARLENE MONK (5 shared papers)Lazlo Ring (4 shared papers)Marion J. Franz (5 shared papers)Jordan Richardson (3 shared papers)
- Journals
- Mayo Clinic Proceedings (3 papers)Journal of Medical Internet Research (2 papers)JMIR Mental Health (2 papers)Critical Care Nursing Clinics of North America (1 paper)Gut (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Barbara Barry
50 papers receiving 1.4k citations
Barbara Barry's Hit Papers
Peers
Comparison fields: 5 of 125
- Health Informatics 252
- Health Information Management 80
- Pharmacy 70
- Applied Psychology 50
- Endocrinology, Diabetes and Metabolism 159
Countries citing papers authored by Barbara Barry
This map shows the geographic impact of Barbara Barry'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 Barbara Barry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Barry more than expected).
Fields of papers citing papers by Barbara Barry
This network shows the impact of papers produced by Barbara Barry. 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 Barbara Barry. The network helps show where Barbara Barry may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Barry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Patient apprehensions about the use of artificial intelligence in healthcare Hit paper breakdown → | 2021 | 242 |
| 2 | 1995 | 227 | |
| 3 | 2012 | 131 | |
| 4 | 1995 | 86 | |
| 5 | 2021 | 79 | |
| 6 | 2004 | 77 | |
| 7 | 2019 | 72 | |
| 8 | 2013 | 61 | |
| 9 | 2018 | 51 | |
| 10 | 2022 | 50 | |
| 11 | 2004 | 48 | |
| 12 | 1989 | 47 | |
| 13 | 1995 | 42 | |
| 14 | 2003 | 23 | |
| 15 | 2000 | 22 | |
| 16 | 2024 | 21 | |
| 17 | 2022 | 20 | |
| 18 | 2022 | 20 | |
| 19 | 2003 | 19 | |
| 20 | 2025 | 15 |
About Barbara Barry
Barbara Barry is a scholar working on Health Informatics, Artificial Intelligence, Public Health, Environmental and Occupational Health, General Health Professions and Sociology and Political Science, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (14 papers), Ethics in Clinical Research (5 papers), Ethics and Social Impacts of AI (4 papers), Video Analysis and Summarization (4 papers), Dietetics, Nutrition, and Education (3 papers), Multimedia Communication and Technology (3 papers), Topic Modeling (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Health Informatics (252 citations), Health Information Management (80 citations), Pharmacy (70 citations), Applied Psychology (50 citations) and Endocrinology, Diabetes and Metabolism (159 citations). Barbara Barry has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Xuan Zhu, Timothy Bickmore, Richard R. Sharp, Susan Curtis, ARLENE MONK, Lazlo Ring, Marion J. Franz, Jordan Richardson, Cambray Smith and Paul Upham. Their work appears in journals such as Mayo Clinic Proceedings, Journal of Medical Internet Research, JMIR Mental Health, Critical Care Nursing Clinics of North America and Gut.
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.