Johan E. Hake

25 papers receiving 1.9k citations

Johan E. Hake's Hit Papers

The FEniCS Project Version 1.5 2015 · 1.4k citations
1.4k0+3+7Years since publication4008001.2k

Peers

Johan E. Hake
Comparison fields: 5 of 130
  • Computational Mechanics 491
  • Cardiology and Cardiovascular Medicine 358
  • Statistical and Nonlinear Physics 196
  • Statistics, Probability and Uncertainty 108
  • Computational Theory and Mathematics 221
Replace Marie Elisabeth Rognes with:
Marie Elisabeth Rognes Norway
Martin Sandve Alnæs Norway
Robert Cimrman Czechia
Benjamin Kehlet Norway
Chris Richardson Canada
Jan Blechta Czechia
Johannes Ring Norway
August Johansson Norway
Vincent Heuveline Germany
Luca Heltai Italy
Johan E. Hake relative to Marie Elisabeth Rognes Norway Marie Elisabeth Rognes's profile →
Citations per field
00.5×1.5×2.1×
Marie Elisabeth Rognes · 1×
Citations per year

Countries citing papers authored by Johan E. Hake

Since Specialization
Citations

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

Fields of papers citing papers by Johan E. Hake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan E. Hake. 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 Johan E. Hake. The network helps show where Johan E. Hake may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The FEniCS Project Version 1.5
Hit paper breakdown →
20151382
2 2012125
3 201272
4 201349
5 201042
6 201341
7 201437
8 201534
9 200829
10 201226
11 201322
12 201217
13 201415
14 201214
15 201311
16 20128
17 20127
18 20146
19 20125
20 20124

About Johan E. Hake

Johan E. Hake is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Biophysics and Computational Theory and Mathematics, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (12 papers), Neuroscience and Neural Engineering (8 papers), Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Elasticity and Material Modeling (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Computational Mechanics (491 citations), Cardiology and Cardiovascular Medicine (358 citations), Statistical and Nonlinear Physics (196 citations), Statistics, Probability and Uncertainty (108 citations) and Computational Theory and Mathematics (221 citations). Johan E. Hake has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Garth N. Wells, Anders Logg, Benjamin Kehlet, Johannes Ring, August Johansson, Jan Blechta, Martin Sandve Alnæs, Marie Elisabeth Rognes, Chris Richardson and Andrew McCulloch. Their work appears in journals such as Biophysical Journal, Lecture notes in computational science and engineering, Frontiers in Physiology, International Journal for Numerical Methods in Biomedical Engineering and Circulation Arrhythmia and Electrophysiology.

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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