Peter R. Rijnbeek
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education 8
- Health Information Management top 0.2%
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- Cardiac electrophysiology and arrhythmias 16
- ECG Monitoring and Analysis 12
- Heart Rate Variability and Autonomic Control 7
- Hepatology top 5%
- Toxicology top 2%
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- Machine Learning in Healthcare 24
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- Chronic Disease Management Strategies 11
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- Health Systems, Economic Evaluations, Quality of Life 11
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- Heparin-Induced Thrombocytopenia and Thrombosis 7
- Co-authors
- Jan A. KorsAniek F. MarkusPatrick RyanJohan van der LeiMartijn J. SchuemieMarc A. SuchardDaniel Prieto‐AlhambraTalita Duarte‐Salles
- Journals
- Circulation (2 papers)Nature Communications (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Peter R. Rijnbeek
113 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Health Informatics 313
- Health Information Management 426
- Cardiology and Cardiovascular Medicine 1.0k
- Hepatology 290
- Toxicology 113
Countries citing papers authored by Peter R. Rijnbeek
This map shows the geographic impact of Peter R. Rijnbeek'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 R. Rijnbeek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter R. Rijnbeek more than expected).
Fields of papers citing papers by Peter R. Rijnbeek
This network shows the impact of papers produced by Peter R. Rijnbeek. 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 R. Rijnbeek. The network helps show where Peter R. Rijnbeek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter R. Rijnbeek, 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 39 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 52 | |
| 14 | 2021 | 15 | |
| 15 | 2021 | 25 | |
| 16 | 2020 | 27 | |
| 17 | 2020 | 11 | |
| 18 | 2019 | 0 | |
| 19 | 2018 | 119 | |
| 20 | 2016 | 64 |
About Peter R. Rijnbeek
Peter R. Rijnbeek is a scholar working on Health Informatics, Internal Medicine and Health Information Management, having authored 120 papers that have together received 4.3k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (24 papers), Cardiac electrophysiology and arrhythmias (16 papers), ECG Monitoring and Analysis (12 papers), Chronic Disease Management Strategies (11 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Artificial Intelligence in Healthcare and Education (8 papers), Heart Rate Variability and Autonomic Control (7 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (7 papers). The work is most often cited by research in Health Informatics (313 citations), Health Information Management (426 citations) and Cardiology and Cardiovascular Medicine (1.0k citations). Peter R. Rijnbeek has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jan A. Kors, Aniek F. Markus, Patrick Ryan, Johan van der Lei, Martijn J. Schuemie, Marc A. Suchard, Daniel Prieto‐Alhambra, Talita Duarte‐Salles, Jenna Reps and Bruno H. Stricker. Their work appears in journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.
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.