Joakim Sundnes

2.4k citations
73 papers · 1.4k indexed · h-index 23

Joakim Sundnes

72 papers receiving 1.4k citations

Peers

Joakim Sundnes
Comparison fields: 5 of 111
  • Cardiology and Cardiovascular Medicine 958
  • Statistics, Probability and Uncertainty 99
  • Numerical Analysis 73
  • Statistical and Nonlinear Physics 162
  • Biophysics 68
Replace Piero Colli Franzone with:
Piero Colli Franzone Italy
Anton J. Prassl Austria
Pras Pathmanathan United States
Jonathan Whiteley United Kingdom
Simone Scacchi Italy
R.M. Gulrajani Canada
L. Guerri Italy
E. Hofer Germany
Gundolf Haase Austria
Ralf Peeters Netherlands
Joakim Sundnes relative to Piero Colli Franzone Italy Piero Colli Franzone's profile →
Citations per field
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Citations per year

Countries citing papers authored by Joakim Sundnes

Since Specialization
Citations

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

Fields of papers citing papers by Joakim Sundnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joakim Sundnes. 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 Joakim Sundnes. The network helps show where Joakim Sundnes may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Joakim Sundnes, 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 Joakim Sundnes Line = papers co-authored together Joakim Sundnes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20234
3 20237
4 202311
5 20226
6 202120
7 202123
8 201841
9 201817
10 201712
11 201743
12 201735
13 201611
14 201233
15 200934
16 200816
17 200724
18
On the use of the bidomain equations for computing the transmembrane potential throughout the heart wall: An inverse problem
20063
19 20054
20 200144

About Joakim Sundnes

Joakim Sundnes is a scholar working on Cardiology and Cardiovascular Medicine, Biophysics and Modeling and Simulation, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (31 papers), Cardiovascular Function and Risk Factors (26 papers), Elasticity and Material Modeling (16 papers), Cardiac Structural Anomalies and Repair (9 papers), Cardiac Valve Diseases and Treatments (7 papers), Cardiac Arrhythmias and Treatments (7 papers), Ion channel regulation and function (7 papers) and Cardiomyopathy and Myosin Studies (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (958 citations), Statistics, Probability and Uncertainty (99 citations) and Numerical Analysis (73 citations). Joakim Sundnes has collaborated with scholars based in Norway, United States and Brazil. Frequent co-authors include Glenn Terje Lines, Aslak Tveito, Samuel Wall, Kent‐André Mardal, Lik Chuan Lee, Rodrigo Weber dos Santos, Bjørn Fredrik Nielsen, Harald Osnes, Andrew G. Edwards and Martin Genet. Their work appears in journals such as Computer Methods in Biomechanics & Biomedical Engineering, International Journal for Numerical Methods in Biomedical Engineering, Mathematical Biosciences, IEEE Transactions on Biomedical Engineering and Frontiers in Physiology.

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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