Ellen Kuhl

349 papers receiving 17.9k citations

Ellen Kuhl's Hit Papers

Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems 2022 · 116 citations
1160+3+7Years since publication100200300400500

Peers

Ellen Kuhl
Comparison fields: 5 of 210
  • Modeling and Simulation 807
  • Cell Biology 2.8k
  • Biomedical Engineering 7.3k
  • Cardiology and Cardiovascular Medicine 3.1k
  • Mechanics of Materials 2.4k
Replace Jay D. Humphrey with:
Jay D. Humphrey United States
Y. C. Fung United States
Gerhard A. Holzapfel Austria
Richard Skalak United States
Roger D. Kamm United States
Jeffrey J. Fredberg United States
Andrew D. McCulloch United States
James P. Butler United States
Ray W. Ogden United Kingdom
Alain Goriely United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Ellen Kuhl

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Kuhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 357 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanical properties of gray and white matter brain tissue by indentation
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2015541
2
Mechanical characterization of human brain tissue
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2016510
3
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
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2019453
4 2010373
5
Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue
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2019340
6 2015300
7
Physics-Informed Neural Networks for Cardiac Activation Mapping
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2020282
8 2014268
9
Multiscale modeling meets machine learning: What can we learn?
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2020265
10 2020234
11 2015230
12 2016214
13 2014200
14 2005190
15 2010184
16
A new family of Constitutive Artificial Neural Networks towards automated model discovery
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2022181
17 2016180
18 2012178
19 2019174
20 2009174

About Ellen Kuhl

Ellen Kuhl is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cell Biology, Mechanics of Materials and Surgery, having authored 357 papers that have together received 18.2k indexed citations. Recurring topics across this work include Elasticity and Material Modeling (132 papers), Cellular Mechanics and Interactions (57 papers), Cardiovascular Function and Risk Factors (34 papers), Cardiac electrophysiology and arrhythmias (29 papers), Cardiac Valve Diseases and Treatments (25 papers), Automotive and Human Injury Biomechanics (21 papers), Advanced Materials and Mechanics (19 papers) and Numerical methods in engineering (17 papers). The work is most often cited by research in Modeling and Simulation (807 citations), Cell Biology (2.8k citations), Biomedical Engineering (7.3k citations), Cardiology and Cardiovascular Medicine (3.1k citations) and Mechanics of Materials (2.4k citations). Ellen Kuhl has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Paul Steinmann, Silvia Budday, Serdar Göktepe, Kevin Linka, Alain Goriely, Gerhard A. Holzapfel, Adrián Buganza Tepole, Francisco Sahli Costabal, R. de Rooij and Mathias Peirlinck. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of the Mechanics and Physics of Solids, Computational Mechanics, Biomechanics and Modeling in Mechanobiology and Journal of the mechanical behavior of biomedical materials.

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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