Peter Ruff
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Heart Failure Treatment and Management 3
- Cardiovascular Function and Risk Factors 1
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- Medication Adherence and Compliance 1
- Co-authors
- Michael Johannes Zellweger (4 shared papers)Hans‐Peter Brunner‐La Rocca (4 shared papers)Tiny Jaarsma (1 shared paper)Winfried März (1 shared paper)José María Verdú-Rotellar (1 shared paper)Marcus Edi Kleber (1 shared paper)Bettina Zippel‐Schultz (1 shared paper)Alexander Dressel (1 shared paper)
- Journals
- The EPMA Journal (5 papers)BMJ Open (1 paper)European Heart Journal (1 paper)International Journal of Cardiology (1 paper)Clinical Cardiology (1 paper)
- Partner nations
- NetherlandsSwitzerlandUnited States
In The Last Decade
Peter Ruff
9 papers receiving 269 citations
Peers
Comparison fields: 5 of 85
- Health Informatics 47
- Health Information Management 35
- Cardiology and Cardiovascular Medicine 63
- Family Practice 5
- Applied Psychology 10
Countries citing papers authored by Peter Ruff
This map shows the geographic impact of Peter Ruff'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 Ruff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ruff more than expected).
Fields of papers citing papers by Peter Ruff
This network shows the impact of papers produced by Peter Ruff. 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 Ruff. The network helps show where Peter Ruff may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ruff, 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 | 148 | |
| 2 | 2015 | 50 | |
| 3 | 2016 | 31 | |
| 4 | 2018 | 27 | |
| 5 | 2014 | 8 | |
| 6 | 2016 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 1 | |
| 10 | Olivia Newton-John | 1979 | 1 |
| 11 | 1983 | 0 |
About Peter Ruff
Peter Ruff is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice, Radiology, Nuclear Medicine and Imaging, Health Information Management and Critical Care and Intensive Care Medicine, having authored 11 papers that have together received 283 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (3 papers), Healthcare Systems and Public Health (1 paper), Cardiovascular Function and Risk Factors (1 paper), Chronic Disease Management Strategies (1 paper), Public Relations and Crisis Communication (1 paper), Artificial Intelligence in Healthcare (1 paper), Pleural and Pulmonary Diseases (1 paper) and Medication Adherence and Compliance (1 paper). The work is most often cited by research in Health Informatics (47 citations), Health Information Management (35 citations), Cardiology and Cardiovascular Medicine (63 citations), Family Practice (5 citations) and Applied Psychology (10 citations). Peter Ruff has collaborated with scholars based in Netherlands, Switzerland and United States. Frequent co-authors include Michael Johannes Zellweger, Hans‐Peter Brunner‐La Rocca, Tiny Jaarsma, Winfried März, José María Verdú-Rotellar, Marcus Edi Kleber, Bettina Zippel‐Schultz, Alexander Dressel, Emilio Vanoli and Judita Kinkorová. Their work appears in journals such as The EPMA Journal, BMJ Open, European Heart Journal, International Journal of Cardiology and Clinical Cardiology.
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.