Peter R. Rijnbeek
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 5%
- Artificial Intelligence top 2%
- Molecular Biology
- Health Information Management top 0.2%
- Co-authors
- Jan A. KorsAniek F. MarkusPatrick RyanJohan van der LeiMartijn J. SchuemieMarc A. SuchardDaniel Prieto‐AlhambraTalita Duarte‐Salles
- Topics
- Machine Learning in Healthcare (24 papers)Cardiac electrophysiology and arrhythmias (16 papers)ECG Monitoring and Analysis (12 papers)
- Journals
- CirculationNature CommunicationsSHILAP Revista de lepidopterología
- 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
- Cardiology and Cardiovascular Medicine 1.0k
- Epidemiology 931
- Artificial Intelligence 818
- Molecular Biology 487
- Health Information Management 426
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 of co-authors of Peter R. Rijnbeek
This figure shows the co-authorship network connecting the top 25 collaborators of Peter R. Rijnbeek. A scholar is included among the top collaborators of Peter R. Rijnbeek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter R. Rijnbeek. Peter R. Rijnbeek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 39 | |
| 10 | 20 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 52 | |
| 14 | 15 | |
| 15 | 25 | |
| 16 | 27 | |
| 17 | 11 | |
| 18 | 0 | |
| 19 | 119 | |
| 20 | 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) and ECG Monitoring and Analysis (12 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.