Kevin Linka

52 papers receiving 1.9k citations

Kevin Linka's Hit Papers

A new family of Constitutive Artificial Neural Networks towards automated model discovery 2022 · 179 citations
1790+1+2Years since publication50100150

Peers

Kevin Linka
Comparison fields: 5 of 144
  • Modeling and Simulation 502
  • Statistical and Nonlinear Physics 415
  • Statistics, Probability and Uncertainty 106
  • Biomedical Engineering 613
  • Fluid Flow and Transfer Processes 78
Replace Francisco Sahli Costabal with:
Francisco Sahli Costabal United States
Mathias Peirlinck United States
Ibrahim Mahariq Kuwait
Hussam Alrabaiah Jordan
Fuzhang Wang China
David L. Brown United States
Nicola Parolini Italy
Ali Ansari Kuwait
Takeru Igusa United States
Murat Sarı Türkiye
Kevin Linka relative to Francisco Sahli Costabal United States Francisco Sahli Costabal's profile →
Citations per field
00.5×1.5×2.3×
Francisco Sahli Costabal · 1×
Citations per year

Countries citing papers authored by Kevin Linka

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Linka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020229
2 2020213
3
A new family of Constitutive Artificial Neural Networks towards automated model discovery
Hit paper breakdown →
2022179
4 2020134
5 2022114
6 2020107
7 202369
8 202153
9 202053
10 202352
11 202045
12 202140
13 202138
14 202436
15 202335
16 202335
17 202332
18 202131
19 202330
20 202130

About Kevin Linka

Kevin Linka is a scholar working on Biomedical Engineering, Statistical and Nonlinear Physics, Surgery, Modeling and Simulation and Cell Biology, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Elasticity and Material Modeling (28 papers), Model Reduction and Neural Networks (11 papers), COVID-19 epidemiological studies (9 papers), Cellular Mechanics and Interactions (8 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Lower Extremity Biomechanics and Pathologies (5 papers), COVID-19 Pandemic Impacts (4 papers) and Rheology and Fluid Dynamics Studies (4 papers). The work is most often cited by research in Modeling and Simulation (502 citations), Statistical and Nonlinear Physics (415 citations), Statistics, Probability and Uncertainty (106 citations), Biomedical Engineering (613 citations) and Fluid Flow and Transfer Processes (78 citations). Kevin Linka has collaborated with scholars based in Germany, United States and Chile. Frequent co-authors include Ellen Kuhl, Mathias Peirlinck, Francisco Sahli Costabal, Christian J. Cyron, Mikhail Itskov, Skyler R. St. Pierre, Kian P. Abdolazizi, Markus Hillgärtner, Roland C. Aydin and Gerhard A. Holzapfel. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of the mechanical behavior of biomedical materials, Computational Mechanics, Acta Biomaterialia and Scientific Reports.

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.

Explore authors with similar magnitude of impact