Brian Ostasiewski
Impact in
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Electronic Health Records Systems 2
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- COVID-19 Clinical Research Studies 1
- Co-authors
- Brian J. Wells (3 shared papers)Alexander Quarshie (1 shared paper)Kun Wei (1 shared paper)Shawn N. Murphy (1 shared paper)Kenneth D. Mandl (1 shared paper)Nandan Patibandla (1 shared paper)William G. Adams (1 shared paper)Ernest Alema‐Mensah (1 shared paper)
- Journals
- Circulation (1 paper)Journal of the American Medical Informatics Association (1 paper)Learning Health Systems (1 paper)Open Forum Infectious Diseases (1 paper)JMIR Medical Informatics (2 papers)
- Partner nations
- United States
In The Last Decade
Brian Ostasiewski
8 papers receiving 32 citations
Peers
Comparison fields: 5 of 20
- Health Information Management 8
- Health Informatics 2
- Issues, ethics and legal aspects 1
- Emergency Medicine 6
- Management Science and Operations Research 5
Countries citing papers authored by Brian Ostasiewski
This map shows the geographic impact of Brian Ostasiewski'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 Brian Ostasiewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Ostasiewski more than expected).
Fields of papers citing papers by Brian Ostasiewski
This network shows the impact of papers produced by Brian Ostasiewski. 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 Brian Ostasiewski. The network helps show where Brian Ostasiewski may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Ostasiewski, 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 | 2019 | 14 | |
| 2 | 2020 | 6 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2023 | 1 |
About Brian Ostasiewski
Brian Ostasiewski is a scholar working on Health Information Management, Infectious Diseases, Health, Cardiology and Cardiovascular Medicine and Information Systems, having authored 8 papers that have together received 32 indexed citations. Recurring topics across this work include Electronic Health Records Systems (2 papers), Research Data Management Practices (1 paper), Cardiovascular Health and Risk Factors (1 paper), Healthcare Systems and Public Health (1 paper), COVID-19 Clinical Research Studies (1 paper), Health disparities and outcomes (1 paper), Diabetes Management and Research (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Health Information Management (8 citations), Health Informatics (2 citations), Issues, ethics and legal aspects (1 citation), Emergency Medicine (6 citations) and Management Science and Operations Research (5 citations). Brian Ostasiewski has collaborated with scholars based in United States. Frequent co-authors include Brian J. Wells, Alexander Quarshie, Kun Wei, Shawn N. Murphy, Kenneth D. Mandl, Nandan Patibandla, William G. Adams, Ernest Alema‐Mensah, Gary E. Rosenthal and Hossein Estiri. Their work appears in journals such as Circulation, Journal of the American Medical Informatics Association, Learning Health Systems, Open Forum Infectious Diseases and JMIR Medical Informatics.
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.