Wouter‐Jan Rappel

13.2k citations
164 papers · 9.7k indexed · 3 hit papers · h-index 51

Wouter‐Jan Rappel

159 papers receiving 9.5k citations

Hit Papers

Treatment of Atrial Fibrillation by the...78219962026200620162505007501000

Peers

Wouter‐Jan Rappel
Comparison fields: 5 of 157
  • Cell Biology 2.1k
  • Condensed Matter Physics 1.1k
  • Cardiology and Cardiovascular Medicine 2.0k
  • Modeling and Simulation 372
  • Statistical and Nonlinear Physics 820
Replace András Czirók with:
András Czirók Hungary
Jonathon Howard United States
F. C. MacKintosh United States
Jean‐François Joanny France
Yuhai Tu United States
John P. Wikswo United States
Alain Goriely United Kingdom
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Karsten Kruse Germany
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Wouter‐Jan Rappel relative to András Czirók Hungary András Czirók's profile →
Citations per field
00.5×10×15×21.1×
András Czirók · 1×
Citations per year

Countries citing papers authored by Wouter‐Jan Rappel

Since Specialization
Citations

This map shows the geographic impact of Wouter‐Jan Rappel'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 Wouter‐Jan Rappel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter‐Jan Rappel more than expected).

Fields of papers citing papers by Wouter‐Jan Rappel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter‐Jan Rappel. 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 Wouter‐Jan Rappel. The network helps show where Wouter‐Jan Rappel may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Wouter‐Jan Rappel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wouter‐Jan Rappel Line = papers co-authored together Wouter‐Jan Rappel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20242
5 20243
6 20238
7 202317
8 20216
9 20211
10 20216
11 202123
12 202043
13 202040
14 202031
15 2016106
16 201589
17 201496
18 2014122
19 2012190
20
Quantitative Phase-Field Modeling of Dendritic Growth in Two and Three Dimensions
19966

About Wouter‐Jan Rappel

Wouter‐Jan Rappel is a scholar working on Cell Biology, Statistical and Nonlinear Physics and Cardiology and Cardiovascular Medicine, having authored 164 papers that have together received 9.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (47 papers), Cardiac electrophysiology and arrhythmias (38 papers), Nonlinear Dynamics and Pattern Formation (26 papers), 3D Printing in Biomedical Research (25 papers), Atrial Fibrillation Management and Outcomes (22 papers), Cardiac Arrhythmias and Treatments (22 papers), Solidification and crystal growth phenomena (20 papers) and Gene Regulatory Network Analysis (19 papers). The work is most often cited by research in Cell Biology (2.1k citations), Condensed Matter Physics (1.1k citations) and Cardiology and Cardiovascular Medicine (2.0k citations). Wouter‐Jan Rappel has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Alain Karma, Herbert Levine, Sanjiv M. Narayan, David E. Krummen, Brian A. Camley, John M. Miller, Kalyanam Shivkumar, William F. Loomis, Paul Clopton and Inon Cohen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters, Biophysical Journal, Circulation Arrhythmia and Electrophysiology and Chaos An Interdisciplinary Journal of Nonlinear Science.

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.

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