Peter O’Blenis
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Meta-analysis and systematic reviews
Papers in ⓘ
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- Artificial Intelligence in Healthcare and Education 4
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- Meta-analysis and systematic reviews 4
- Co-authors
- Diana Inkpen (3 shared papers)Stan Matwin (3 shared papers)Oana Frunza (3 shared papers)Jennifer Tetzlaff (3 shared papers)Tarek Nayfeh (1 shared paper)M. Hassan Murad (1 shared paper)Zhen Wang (1 shared paper)William Klement (1 shared paper)
In The Last Decade
Peter O’Blenis
11 papers receiving 269 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 42
- Statistics, Probability and Uncertainty 83
- Health Information Management 14
- Information Systems and Management 20
- Artificial Intelligence 92
Countries citing papers authored by Peter O’Blenis
This map shows the geographic impact of Peter O’Blenis'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 Peter O’Blenis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter O’Blenis more than expected).
Fields of papers citing papers by Peter O’Blenis
This network shows the impact of papers produced by Peter O’Blenis. 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 Peter O’Blenis. The network helps show where Peter O’Blenis may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter O’Blenis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 107 | |
| 2 | 2010 | 71 | |
| 3 | 2010 | 35 | |
| 4 | 2006 | 23 | |
| 5 | 2004 | 18 | |
| 6 | 2010 | 8 | |
| 7 | Measuring the Quality of Breast Cancer Care in Women: Summary | 2004 | 4 |
| 8 | 2019 | 2 | |
| 9 | 2019 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2018 | 2 |
About Peter O’Blenis
Peter O’Blenis is a scholar working on Health Informatics, Statistics, Probability and Uncertainty, Oncology, Artificial Intelligence and Molecular Biology, having authored 11 papers that have together received 274 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (4 papers), Meta-analysis and systematic reviews (4 papers), Global Cancer Incidence and Screening (3 papers), Economic and Financial Impacts of Cancer (2 papers), Biomedical Text Mining and Ontologies (2 papers), Advanced Text Analysis Techniques (1 paper), Breast Cancer Treatment Studies (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Health Informatics (42 citations), Statistics, Probability and Uncertainty (83 citations), Health Information Management (14 citations), Information Systems and Management (20 citations) and Artificial Intelligence (92 citations). Peter O’Blenis has collaborated with scholars based in Canada, France and Poland. Frequent co-authors include Diana Inkpen, Stan Matwin, Oana Frunza, Jennifer Tetzlaff, Tarek Nayfeh, M. Hassan Murad, Zhen Wang, William Klement, Li Zhang and Margaret Sampson. Their work appears in journals such as Value in Health, Journal of the American Medical Informatics Association, Artificial Intelligence in Medicine, BMC Cancer and Value in Health Regional Issues.
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.