Kevin Linka

3.1k citations
55 papers · 1.8k indexed · 1 hit paper · h-index 22

Kevin Linka

50 papers receiving 1.7k citations

Hit Papers

A new family of Constitutive Artificial Neural Networks t...157202220262023202450100150

Peers

Kevin Linka
Comparison fields: 5 of 142
  • Modeling and Simulation 522
  • Statistical and Nonlinear Physics 390
  • Statistics, Probability and Uncertainty 101
  • Biomedical Engineering 588
  • Fluid Flow and Transfer Processes 73
Replace Francisco Sahli Costabal with:
Francisco Sahli Costabal Chile
Mathias Peirlinck United States
Ibrahim Mahariq Kuwait
Hussam Alrabaiah Jordan
Satyaki Roy United States
Fuad A. Awwad Saudi Arabia
Murat Sarı Türkiye
David L. Brown United States
Takeru Igusa United States
Nicola Parolini Italy
Kevin Linka relative to Francisco Sahli Costabal Chile Francisco Sahli Costabal's profile →
Citations per field
00.5×1.5×1.9×
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-authorship network

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
#Work
1 20252
2 20250
3 202411
4 20240
5 202414
6 202411
7 202348
8 202332
9 202322
10 202363
11 202326
12 2022104
13
A new family of Constitutive Artificial Neural Networks towards automated model discoverybreakdown →
2022157
14 202152
15 202136
16 202130
17 20212
18 2020106
19 202053
20 201614

About Kevin Linka

Kevin Linka is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Biomedical Engineering, Equine and Fluid Flow and Transfer Processes, having authored 55 papers that have together received 1.8k 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 Automotive and Human Injury Biomechanics (3 papers). The work is most often cited by research in Modeling and Simulation (522 citations), Statistical and Nonlinear Physics (390 citations), Statistics, Probability and Uncertainty (101 citations), Biomedical Engineering (588 citations) and Fluid Flow and Transfer Processes (73 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, Markus Hillgärtner, Roland C. Aydin, Gerhard A. Holzapfel and Amelie Schäfer. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Computational Mechanics, Scientific Reports, Journal of the mechanical behavior of biomedical materials and Acta Biomaterialia.

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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