Jan Valdman

641 total citations
38 papers, 341 citations indexed

About

Jan Valdman is a scholar working on Mechanics of Materials, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Jan Valdman has authored 38 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanics of Materials, 18 papers in Computational Mechanics and 16 papers in Computational Theory and Mathematics. Recurrent topics in Jan Valdman's work include Advanced Numerical Methods in Computational Mathematics (17 papers), Numerical methods in engineering (14 papers) and Elasticity and Material Modeling (10 papers). Jan Valdman is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (17 papers), Numerical methods in engineering (14 papers) and Elasticity and Material Modeling (10 papers). Jan Valdman collaborates with scholars based in Czechia, Austria and Russia. Jan Valdman's co-authors include Stanislav Sysala, Martin Čermák, Péter Gruber, Carsten Carstensen, Martin Brokate, Tomáš Roubı́ček, S. Repin, Sergey Repin, Antonio Orlando and Tomáš Kozubek and has published in prestigious journals such as NeuroImage, International Journal for Numerical Methods in Engineering and Applied Mathematics and Computation.

In The Last Decade

Jan Valdman

33 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Valdman Czechia 11 161 143 122 85 48 38 341
Béchir Mokdad France 3 213 1.3× 239 1.7× 105 0.9× 94 1.1× 72 1.5× 3 640
David Horák Czechia 10 186 1.2× 158 1.1× 215 1.8× 61 0.7× 35 0.7× 41 343
Gabriele Inglese Italy 9 60 0.4× 187 1.3× 140 1.1× 99 1.2× 23 0.5× 30 431
A. Meyer Germany 14 171 1.1× 180 1.3× 107 0.9× 38 0.4× 34 0.7× 63 500
Anthony Nouy France 9 129 0.8× 104 0.7× 92 0.8× 35 0.4× 78 1.6× 27 441
Lei Du China 13 87 0.5× 134 0.9× 136 1.1× 68 0.8× 36 0.8× 32 429
Nicolas Neuß Germany 7 273 1.7× 115 0.8× 194 1.6× 43 0.5× 25 0.5× 11 397
Marc Dambrine France 15 157 1.0× 223 1.6× 331 2.7× 38 0.4× 111 2.3× 60 570
Giovanni Frosali Italy 10 76 0.5× 70 0.5× 49 0.4× 40 0.5× 60 1.3× 43 381
H.T. Rathod India 11 157 1.0× 125 0.9× 38 0.3× 25 0.3× 28 0.6× 34 321

Countries citing papers authored by Jan Valdman

Since Specialization
Citations

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

Fields of papers citing papers by Jan Valdman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Valdman

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Valdman. A scholar is included among the top collaborators of Jan Valdman 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 Jan Valdman. Jan Valdman 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.
Valdman, Jan, et al.. (2025). Frameworking the vectorized basic linear algebra for prototyping codes in MATLAB. Applied Mathematics and Computation. 513. 129778–129778.
2.
Valdman, Jan, et al.. (2025). Finite-Strain Constitutive Model for Shape Memory Alloys Formulated in the Logarithmic Strain Space. Shape Memory and Superelasticity. 11(4). 726–737.
3.
Valdman, Jan, et al.. (2024). Vectorized implementation of primal hybrid FEM in MATLAB. Computers & Mathematics with Applications. 180. 144–165.
4.
Kružík, Martin, et al.. (2024). Hadamard’s inequality in the mean. Nonlinear Analysis. 243. 113523–113523.
5.
Valdman, Jan, et al.. (2023). Surface penalization of self-interpenetration in linear and nonlinear elasticity. Applied Mathematical Modelling. 122. 641–664. 3 indexed citations
6.
Gfrerer, Helmut, et al.. (2022). On the SCD semismooth* Newton method for generalized equations with application to a class of static contact problems with Coulomb friction. Computational Optimization and Applications. 86(3). 1159–1191. 5 indexed citations
7.
Gfrerer, Helmut, Jiří V. Outrata, & Jan Valdman. (2022). On the Application of the SCD Semismooth* Newton Method to Variational Inequalities of the Second Kind. Set-Valued and Variational Analysis. 30(4). 1453–1484. 6 indexed citations
8.
Valdman, Jan, et al.. (2022). Fast MATLAB evaluation of nonlinear energies using FEM in 2D and 3D: Nodal elements. Applied Mathematics and Computation. 424. 127048–127048. 8 indexed citations
9.
10.
Čermák, Martin, Stanislav Sysala, & Jan Valdman. (2019). Efficient and flexible MATLAB implementation of 2D and 3D elastoplastic problems. Applied Mathematics and Computation. 355. 595–614. 37 indexed citations
11.
Li, Jing‐Rebecca, et al.. (2019). SpinDoctor: A MATLAB toolbox for diffusion MRI simulation. NeuroImage. 202. 116120–116120. 16 indexed citations
12.
Repin, S. & Jan Valdman. (2015). A Posteriori Error Estimates for Two-Phase Obstacle Problem. Journal of Mathematical Sciences. 207(2). 324–335. 1 indexed citations
13.
Valdman, Jan, et al.. (2015). Fast MATLAB assembly of FEM matrices in 2D and 3D: Edge elements. Applied Mathematics and Computation. 267. 252–263. 31 indexed citations
14.
Valdman, Jan, et al.. (2011). Fast MATLAB assembly of FEM matrices in 2D and 3D: Nodal elements. Applied Mathematics and Computation. 219(13). 7151–7158. 54 indexed citations
15.
Repin, Sergey & Jan Valdman. (2009). Functional a posteriori error estimates for incremental models in elasto-plasticity. Open Mathematics. 7(3). 506–519. 6 indexed citations
16.
Valdman, Jan, et al.. (2009). A 3D Crouzeix-Raviart mortar finite element. Computing. 86(4). 313–330. 1 indexed citations
17.
Repin, S. & Jan Valdman. (2008). Functional a posteriori error estimates for problems with nonlinear boundary conditions. Journal of Numerical Mathematics. 16(1). 10 indexed citations
18.
Carstensen, Carsten, Antonio Orlando, & Jan Valdman. (2006). A convergent adaptive finite element method for the primal problem of elastoplasticity. International Journal for Numerical Methods in Engineering. 67(13). 1851–1887. 14 indexed citations
19.
Brokate, Martin, Carsten Carstensen, & Jan Valdman. (2004). A quasi‐static boundary value problem in multi‐surface elastoplasticity: Part 1—Analysis. Mathematical Methods in the Applied Sciences. 27(14). 1697–1710. 15 indexed citations
20.
Valdman, Jan. (2001). Mathematical and Numerical Analysis of Elastoplastic Material with Multi-Surface Stress-Strain Relation. 2 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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