Karel Matouš

3.0k total citations · 1 hit paper
72 papers, 2.2k citations indexed

About

Karel Matouš is a scholar working on Mechanics of Materials, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Karel Matouš has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Mechanics of Materials, 12 papers in Computational Mechanics and 12 papers in Computational Theory and Mathematics. Recurrent topics in Karel Matouš's work include Composite Material Mechanics (31 papers), Numerical methods in engineering (16 papers) and Advanced Mathematical Modeling in Engineering (11 papers). Karel Matouš is often cited by papers focused on Composite Material Mechanics (31 papers), Numerical methods in engineering (16 papers) and Advanced Mathematical Modeling in Engineering (11 papers). Karel Matouš collaborates with scholars based in United States, Czechia and Netherlands. Karel Matouš's co-authors include Philippe H. Geubelle, Andrew Gillman, V.G. Kouznetsova, M.G.D. Geers, Makarand S. Kulkarni, Ladislav Nedbal, Helen M. Inglis, P. Areias, M.G. Kulkarni and Thomas Roitsch and has published in prestigious journals such as Applied Physics Letters, Journal of Computational Physics and Journal of Experimental Botany.

In The Last Decade

Karel Matouš

70 papers receiving 2.1k citations

Hit Papers

A review of predictive nonlinear theories for multiscale ... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karel Matouš United States 25 1.4k 369 349 325 283 72 2.2k
Manfred Bischoff Germany 29 1.5k 1.1× 248 0.7× 180 0.5× 792 2.4× 1.0k 3.6× 121 2.9k
Hao Li China 19 418 0.3× 88 0.2× 270 0.8× 452 1.4× 156 0.6× 170 1.6k
A.C Cleland New Zealand 27 736 0.5× 253 0.7× 50 0.1× 658 2.0× 281 1.0× 58 2.2k
Kang Gao China 25 1.1k 0.8× 617 1.7× 67 0.2× 482 1.5× 107 0.4× 99 2.4k
Yajun Yu China 23 905 0.6× 498 1.3× 29 0.1× 382 1.2× 277 1.0× 74 1.7k
George Mathew India 24 238 0.2× 231 0.6× 35 0.1× 255 0.8× 192 0.7× 132 2.1k
Ping Lin China 26 184 0.1× 360 1.0× 159 0.5× 447 1.4× 1.2k 4.1× 132 2.3k
Juan Zhang China 21 304 0.2× 233 0.6× 54 0.2× 435 1.3× 18 0.1× 95 1.2k
Jean‐Christophe Batsale France 22 812 0.6× 301 0.8× 23 0.1× 306 0.9× 211 0.7× 141 1.7k
Leonid I. Slepyan Israel 24 889 0.6× 342 0.9× 94 0.3× 286 0.9× 74 0.3× 78 1.6k

Countries citing papers authored by Karel Matouš

Since Specialization
Citations

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

Fields of papers citing papers by Karel Matouš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karel Matouš

This figure shows the co-authorship network connecting the top 25 collaborators of Karel Matouš. A scholar is included among the top collaborators of Karel Matouš based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karel Matouš. Karel Matouš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Matouš, Karel, et al.. (2025). An adaptive manifold- and discrete empirical interpolation method-based reduced order model for nonlinear solids. Journal of Computational Physics. 537. 114069–114069.
2.
Matouš, Karel, et al.. (2024). Effect of biofilm physical characteristics on their susceptibility to antibiotics: impacts of low-frequency ultrasound. npj Biofilms and Microbiomes. 10(1). 70–70. 10 indexed citations
3.
Matouš, Karel, et al.. (2024). Adaptive and parallel multiscale framework for modeling cohesive failure in engineering scale systems. Computer Methods in Applied Mechanics and Engineering. 429. 117191–117191. 1 indexed citations
4.
Matouš, Karel, et al.. (2023). Prediction of nonlinear specific heat during single crystal HMX phase transition. Mechanics Research Communications. 131. 104156–104156. 2 indexed citations
5.
Srivastava, Gaurav, et al.. (2023). Continuum modeling predictions of nonlinear specific heat in phase transition of energetic materials. Journal of the Mechanics and Physics of Solids. 180. 105401–105401. 1 indexed citations
6.
Dalessandro, Luke, et al.. (2023). An adaptive wavelet method for nonlinear partial differential equations with applications to dynamic damage modeling. Journal of Computational Physics. 479. 112002–112002. 8 indexed citations
7.
Li, Mengfei, et al.. (2022). Effects of biofilm heterogeneity on the apparent mechanical properties obtained by shear rheometry. Biotechnology and Bioengineering. 120(2). 553–561. 4 indexed citations
8.
Lee, Sangmin, et al.. (2021). Numerical study of damage in particulate composites during high-strain rate loading using novel damage model. Mechanics of Materials. 160. 103944–103944. 6 indexed citations
9.
Gunduz, I. Emre, Sergei Rouvimov, Khachatur V. Manukyan, et al.. (2018). Shock-induced reaction synthesis of cubic boron nitride. Applied Physics Letters. 112(17). 12 indexed citations
10.
Krairi, Anouar, Karel Matouš, & A. Salvadori. (2017). A poro-viscoplastic constitutive model for cold compacted powders at finite strains. International Journal of Solids and Structures. 135. 289–300. 6 indexed citations
11.
Shuck, Christopher E., Andrew Gillman, I. Emre Gunduz, et al.. (2016). X-ray nanotomography and focused-ion-beam sectioning for quantitative three-dimensional analysis of nanocomposites. Journal of Synchrotron Radiation. 23(4). 990–996. 18 indexed citations
12.
Gillman, Andrew & Karel Matouš. (2014). Third-order model of thermal conductivity for random polydisperse particulate materials using well-resolved statistical descriptions from tomography. Physics Letters A. 378(41). 3070–3073. 18 indexed citations
13.
Gillman, Andrew, Karel Matouš, & Steven Atkinson. (2013). Microstructure-statistics-property relations of anisotropic polydisperse particulate composites using tomography. Physical Review E. 87(2). 22208–22208. 25 indexed citations
14.
Mishra, Anamika, Karel Matouš, Kumud Bandhu Mishra, & Ladislav Nedbal. (2009). Towards Discrimination of Plant Species by Machine Vision: Advanced Statistical Analysis of Chlorophyll Fluorescence Transients. Journal of Fluorescence. 19(5). 905–913. 18 indexed citations
15.
Srinivasan, K., Karel Matouš, Philippe H. Geubelle, & T. L. Jackson. (2009). Thermomechanical modeling of regressing heterogeneous solid propellants. Journal of Computational Physics. 228(21). 7883–7901. 12 indexed citations
18.
Matouš, Karel & George J. Dvorak. (2004). Analysis of tongue and groove joints for thick laminates. Composites Part B Engineering. 35(6-8). 609–617. 5 indexed citations
19.
Matouš, Karel & Antoinette M. Maniatty. (2004). Finite element formulation for modelling large deformations in elasto‐viscoplastic polycrystals. International Journal for Numerical Methods in Engineering. 60(14). 2313–2333. 41 indexed citations
20.
Kruis, Jaroslav, Karel Matouš, & Zdeněk Dostál. (2002). Solving laminated plates by domain decomposition. Advances in Engineering Software. 33(7-10). 445–452. 7 indexed citations

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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