Jaroslav Vondřejc

1.0k total citations
21 papers, 773 citations indexed

About

Jaroslav Vondřejc is a scholar working on Mechanics of Materials, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Jaroslav Vondřejc has authored 21 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanics of Materials, 12 papers in Computational Theory and Mathematics and 6 papers in Computational Mechanics. Recurrent topics in Jaroslav Vondřejc's work include Composite Material Mechanics (16 papers), Advanced Mathematical Modeling in Engineering (11 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Jaroslav Vondřejc is often cited by papers focused on Composite Material Mechanics (16 papers), Advanced Mathematical Modeling in Engineering (11 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Jaroslav Vondřejc collaborates with scholars based in Germany, Czechia and Netherlands. Jaroslav Vondřejc's co-authors include Jan Zeman, Ivo Marek, Jan Novák, Tom W. J. de Geus, Vlastimil Králík, R.H.J. Peerlings, M.G.D. Geers, Jiří Němeček, Hermann G. Matthies and Laura De Lorenzis and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Cement and Concrete Composites.

In The Last Decade

Jaroslav Vondřejc

20 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaroslav Vondřejc Germany 12 631 235 146 145 113 21 773
Q.‐C. He France 15 783 1.2× 222 0.9× 118 0.8× 224 1.5× 280 2.5× 46 1.0k
Nicolas Charalambakis Greece 15 578 0.9× 239 1.0× 91 0.6× 118 0.8× 157 1.4× 53 739
Jack Chessa United States 9 535 0.8× 66 0.3× 124 0.8× 104 0.7× 105 0.9× 14 733
B. Andersson Sweden 15 406 0.6× 114 0.5× 303 2.1× 77 0.5× 126 1.1× 38 730
V. Z. Parton Russia 12 989 1.6× 138 0.6× 106 0.7× 197 1.4× 160 1.4× 52 1.1k
Y. Mikata United States 15 698 1.1× 61 0.3× 151 1.0× 191 1.3× 98 0.9× 32 853
Su Hao United States 16 744 1.2× 42 0.2× 279 1.9× 272 1.9× 233 2.1× 34 876
Reinhold Kienzler Germany 16 806 1.3× 41 0.2× 231 1.6× 227 1.6× 271 2.4× 83 1.0k
M. T. Hanson United States 15 827 1.3× 70 0.3× 276 1.9× 151 1.0× 130 1.2× 47 953
Martín I. Idiart Argentina 19 812 1.3× 214 0.9× 248 1.7× 55 0.4× 233 2.1× 62 1.0k

Countries citing papers authored by Jaroslav Vondřejc

Since Specialization
Citations

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

Fields of papers citing papers by Jaroslav Vondřejc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaroslav Vondřejc

This figure shows the co-authorship network connecting the top 25 collaborators of Jaroslav Vondřejc. A scholar is included among the top collaborators of Jaroslav Vondřejc 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 Jaroslav Vondřejc. Jaroslav Vondřejc 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.
2.
Vondřejc, Jaroslav, et al.. (2021). Efficient Simulation of Random Fields by Trigonometric Polynomial and Low‐rank Tensor. PAMM. 20(1). 1 indexed citations
3.
Gerasimov, Tymofiy, Ulrich Römer, Jaroslav Vondřejc, Hermann G. Matthies, & Laura De Lorenzis. (2020). Stochastic phase-field modeling of brittle fracture: computing multiple crack patterns and their probabilities. arXiv (Cornell University). 36 indexed citations
4.
Vondřejc, Jaroslav, et al.. (2020). FFT-based homogenisation accelerated by low-rank tensor approximations. Computer Methods in Applied Mechanics and Engineering. 364. 112890–112890. 11 indexed citations
5.
Vondřejc, Jaroslav & Hermann G. Matthies. (2019). Accurate Computation of Conditional Expectation for Highly Nonlinear Problems. SIAM/ASA Journal on Uncertainty Quantification. 7(4). 1349–1368. 5 indexed citations
6.
Vondřejc, Jaroslav & Tom W. J. de Geus. (2019). Energy-based comparison between the Fourier–Galerkin method and the finite element method. Journal of Computational and Applied Mathematics. 374. 112585–112585. 11 indexed citations
7.
Vondřejc, Jaroslav. (2019). Double-grid quadrature with interpolation-projection (DoGIP) as a novel discretisation approach: An application to FEM on simplexes. Computers & Mathematics with Applications. 78(11). 3501–3513. 2 indexed citations
8.
Zeman, Jan, et al.. (2019). Reference material preconditioning for FFT‐based solvers. PAMM. 19(1).
9.
Vondřejc, Jaroslav, et al.. (2017). Shape optimization of phononic band gap structures using the homogenization approach. International Journal of Solids and Structures. 113-114. 147–168. 17 indexed citations
10.
Geus, Tom W. J. de, Jaroslav Vondřejc, Jan Zeman, R.H.J. Peerlings, & M.G.D. Geers. (2017). Finite strain FFT-based non-linear solvers made simple. Computer Methods in Applied Mechanics and Engineering. 318. 412–430. 94 indexed citations
11.
Zeman, Jan, Tom W. J. de Geus, Jaroslav Vondřejc, R.H.J. Peerlings, & M.G.D. Geers. (2016). A finite element perspective on nonlinear FFT-based micromechanical simulations. International Journal for Numerical Methods in Engineering. 111(10). 903–926. 85 indexed citations
12.
13.
Vondřejc, Jaroslav, Jan Zeman, & Ivo Marek. (2015). Guaranteed upper–lower bounds on homogenized properties by FFT-based Galerkin method. Computer Methods in Applied Mechanics and Engineering. 297. 258–291. 39 indexed citations
14.
Vondřejc, Jaroslav, Jan Zeman, & Ivo Marek. (2014). Guaranteed bounds on homogenized periodic media by FFT‐based Galerkin method. PAMM. 14(1). 563–564. 1 indexed citations
15.
Vondřejc, Jaroslav, Jan Zeman, & Ivo Marek. (2014). An FFT-based Galerkin method for homogenization of periodic media. Computers & Mathematics with Applications. 68(3). 156–173. 112 indexed citations
16.
Vondřejc, Jaroslav. (2013). FFT-based method for homogenization of periodic media: Theory and applications. Cvut DSpace (Czech Technical University). 9 indexed citations
17.
Králík, Vlastimil, et al.. (2013). A two-scale micromechanical model for aluminium foam based on results from nanoindentation. Computers & Structures. 128. 136–145. 21 indexed citations
18.
Němeček, Jiří, Vlastimil Králík, & Jaroslav Vondřejc. (2012). Micromechanical analysis of heterogeneous structural materials. Cement and Concrete Composites. 36. 85–92. 95 indexed citations
19.
Němeček, Jiří, et al.. (2011). Identification of Micromechanical Properties on Metal Foams using Nanoindentation. Civil-comp proceedings. 4 indexed citations
20.
Zeman, Jan, Jaroslav Vondřejc, Jan Novák, & Ivo Marek. (2010). Accelerating a FFT-based solver for numerical homogenization of periodic media by conjugate gradients. Journal of Computational Physics. 229(21). 8065–8071. 194 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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