R. H. Keldermann

594 citations
12 papers · 480 indexed · h-index 9

R. H. Keldermann

12 papers receiving 463 citations

Peers

R. H. Keldermann
Comparison fields: 5 of 51
  • Cardiology and Cardiovascular Medicine 393
  • Statistical and Nonlinear Physics 64
  • Computer Networks and Communications 110
  • Cellular and Molecular Neuroscience 60
  • Biophysics 14
Replace V. Nikolski with:
V. Nikolski United States
Ilija Uzelac United States
Rupamanjari Majumder Germany
R. Hren Canada
Xiaodong Huang China
B.M. Steinhaus United States
Yuanna Cheng United States
Steven Girouard United States
A.L. Muzikant United States
Yoshimasa Kadooka Japan
R. H. Keldermann relative to V. Nikolski United States V. Nikolski's profile →
Citations per field
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Citations per year

Countries citing papers authored by R. H. Keldermann

Since Specialization
Citations

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

Fields of papers citing papers by R. H. Keldermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. H. Keldermann. 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 R. H. Keldermann. The network helps show where R. H. Keldermann may publish in the future.

Co-authorship network

The 14 scholars most cited alongside R. H. Keldermann, 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 R. H. Keldermann Line = papers co-authored together R. H. Keldermann links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20232
2 201086
3 200856
4 200831
5 200761
6 200728
7 200792
8 200613
9 20061
10
Self-organized pacemakers in a coupled reaction-diffusion-mechanics system
20051
11 200590
12 200519

About R. H. Keldermann

R. H. Keldermann is a scholar working on Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 12 papers that have together received 480 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (9 papers), Ion channel regulation and function (5 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Neural dynamics and brain function (2 papers), stochastic dynamics and bifurcation (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Neuroscience and Neural Engineering (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (393 citations), Statistical and Nonlinear Physics (64 citations) and Computer Networks and Communications (110 citations). R. H. Keldermann has collaborated with scholars based in Netherlands, New Zealand and Slovenia. Frequent co-authors include Martyn P. Nash, Alexander V. Panfilov, Peter Taggart, Kirsten ten Tusscher, R. Hren, Hanneke Gelderblom, Chris P. Bradley, P.A.J. Hilbers, Nico Kuijpers and Theo Arts. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and IEEE Transactions on Biomedical Engineering.

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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