Oscar Deal
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Cardiovascular Disease and Adiposity 3
- Cardiovascular Function and Risk Factors 2
-
- Clinical Reasoning and Diagnostic Skills 2
- Co-authors
- Jennifer J. Rayner (3 shared papers)Benjamin Jean Gaborit (2 shared papers)Oliver J. Rider (3 shared papers)Andrew D. Lewis (2 shared papers)Inès Abdesselam (3 shared papers)Stefan Neubauer (3 shared papers)Barry A. Borlaug (3 shared papers)Bruno Sgromo (2 shared papers)
- Journals
- Medical Teacher (2 papers)Journal of the American Heart Association (1 paper)eLife (1 paper)Frontiers in Pediatrics (1 paper)The Lancet Digital Health (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Oscar Deal
8 papers receiving 270 citations
Peers
Comparison fields: 5 of 42
- Health Informatics 16
- Modeling and Simulation 33
- Infectious Diseases 67
- Clinical Psychology 38
- Cardiology and Cardiovascular Medicine 34
Countries citing papers authored by Oscar Deal
This map shows the geographic impact of Oscar Deal'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 Oscar Deal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oscar Deal more than expected).
Fields of papers citing papers by Oscar Deal
This network shows the impact of papers produced by Oscar Deal. 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 Oscar Deal. The network helps show where Oscar Deal may publish in the future.
Co-authors
The 24 scholars most cited alongside Oscar Deal, 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 | 194 | |
| 2 | 2022 | 35 | |
| 3 | 2023 | 25 | |
| 4 | 2024 | 10 | |
| 5 | 2022 | 7 | |
| 6 | 2020 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2021 | 0 |
About Oscar Deal
Oscar Deal is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice, Radiology, Nuclear Medicine and Imaging, Nephrology and Emergency Medicine, having authored 9 papers that have together received 274 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (3 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Cardiovascular Function and Risk Factors (2 papers), Cardiac Imaging and Diagnostics (2 papers), COVID-19 Clinical Research Studies (1 paper), Emergency and Acute Care Studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Radiology practices and education (1 paper). The work is most often cited by research in Health Informatics (16 citations), Modeling and Simulation (33 citations), Infectious Diseases (67 citations), Clinical Psychology (38 citations) and Cardiology and Cardiovascular Medicine (34 citations). Oscar Deal has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Jennifer J. Rayner, Benjamin Jean Gaborit, Oliver J. Rider, Andrew D. Lewis, Inès Abdesselam, Stefan Neubauer, Barry A. Borlaug, Bruno Sgromo, Thierry Bège and James Patrick Byrne. Their work appears in journals such as Medical Teacher, Journal of the American Heart Association, eLife, Frontiers in Pediatrics and The Lancet Digital Health.
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.