Milan Jirásek

8.0k total citations · 2 hit papers
101 papers, 6.1k citations indexed

About

Milan Jirásek is a scholar working on Mechanics of Materials, Materials Chemistry and Civil and Structural Engineering. According to data from OpenAlex, Milan Jirásek has authored 101 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Mechanics of Materials, 38 papers in Materials Chemistry and 35 papers in Civil and Structural Engineering. Recurrent topics in Milan Jirásek's work include Numerical methods in engineering (43 papers), Rock Mechanics and Modeling (33 papers) and Nonlocal and gradient elasticity in micro/nano structures (24 papers). Milan Jirásek is often cited by papers focused on Numerical methods in engineering (43 papers), Rock Mechanics and Modeling (33 papers) and Nonlocal and gradient elasticity in micro/nano structures (24 papers). Milan Jirásek collaborates with scholars based in Czechia, Switzerland and United States. Milan Jirásek's co-authors include Zdeněk P. Bažant, Peter Grassl, Z. P. Bažant, Simon Rolshoven, B. Patzák, Thomas Zimmermann, Petr Havlásek, Ignacio Carol, Z.P. Bazant and Denis Davydov and has published in prestigious journals such as Cement and Concrete Research, Construction and Building Materials and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Milan Jirásek

98 papers receiving 5.8k citations

Hit Papers

Nonlocal Integral Formulations of Plasticity and Damage: ... 2002 2026 2010 2018 2002 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Jirásek Czechia 37 4.3k 2.7k 1.7k 867 600 101 6.1k
L.J. Sluys Netherlands 47 6.7k 1.5× 2.7k 1.0× 1.8k 1.1× 908 1.0× 1.1k 1.8× 278 8.5k
B. L. Karihaloo United Kingdom 49 5.1k 1.2× 4.4k 1.6× 1.4k 0.9× 1.9k 2.2× 466 0.8× 301 8.4k
Kaspar Willam United States 37 2.3k 0.5× 3.7k 1.4× 920 0.5× 1.5k 1.7× 365 0.6× 120 5.4k
Jian‐Ying Wu China 32 4.0k 0.9× 1.6k 0.6× 907 0.5× 443 0.5× 1.4k 2.3× 91 5.0k
Herbert A. Mang Austria 39 2.1k 0.5× 3.4k 1.3× 372 0.2× 890 1.0× 458 0.8× 238 5.1k
Nicholas Fantuzzi Italy 53 7.6k 1.7× 4.2k 1.6× 2.5k 1.5× 294 0.3× 626 1.0× 236 8.6k
Z. Mróz Poland 37 3.8k 0.9× 3.3k 1.2× 855 0.5× 303 0.3× 672 1.1× 204 6.4k
J. Planas Spain 34 3.4k 0.8× 3.1k 1.1× 819 0.5× 1.3k 1.5× 247 0.4× 80 5.3k
Miguel Cervera Spain 49 2.6k 0.6× 2.6k 1.0× 618 0.4× 814 0.9× 1.4k 2.3× 172 7.0k
Raimund Rolfes Germany 38 3.5k 0.8× 2.5k 0.9× 436 0.3× 318 0.4× 331 0.6× 272 5.2k

Countries citing papers authored by Milan Jirásek

Since Specialization
Citations

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

Fields of papers citing papers by Milan Jirásek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Jirásek

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Jirásek. A scholar is included among the top collaborators of Milan Jirásek 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 Milan Jirásek. Milan Jirásek 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.
Grassl, Peter, et al.. (2025). RAAC panels can suddenly collapse before any warning of corrosion-induced surface cracking. npj Materials Degradation. 9(1). 44–44.
2.
Jirásek, Milan, et al.. (2024). Integral micromorphic model reproducing dispersion in 1D continuum. International Journal of Engineering Science. 205. 104147–104147. 1 indexed citations
3.
Jirásek, Milan, et al.. (2024). Unravelling the interplay between steel rebar corrosion rate and corrosion-induced cracking of reinforced concrete. Cement and Concrete Research. 186. 107647–107647. 14 indexed citations
4.
Jirásek, Milan, et al.. (2023). A phase-field chemo-mechanical model for corrosion-induced cracking in reinforced concrete. Construction and Building Materials. 393. 131964–131964. 27 indexed citations
5.
Jirásek, Milan, et al.. (2023). Integral micromorphic model for band gap in 1D continuum. Continuum Mechanics and Thermodynamics. 36(5). 1247–1266. 2 indexed citations
6.
Jirásek, Milan, et al.. (2023). Phase-field chemo-mechanical modelling of corrosion-induced cracking in reinforced concrete subjected to non-uniform chloride-induced corrosion. Theoretical and Applied Fracture Mechanics. 129. 104233–104233. 15 indexed citations
7.
Kučerová, Anna, Jan Sýkora, Petr Havlásek, Daniela Jarušková, & Milan Jirásek. (2023). Efficient probabilistic multi-fidelity calibration of a damage-plastic model for confined concrete. Computer Methods in Applied Mechanics and Engineering. 412. 116099–116099. 3 indexed citations
8.
Havlásek, Petr, et al.. (2022). Effect of creep on corrosion-induced cracking. Engineering Fracture Mechanics. 264. 108310–108310. 12 indexed citations
9.
Jirásek, Milan & Rodrigue Desmorat. (2019). Localization analysis of nonlocal models with damage-dependent nonlocal interaction. International Journal of Solids and Structures. 174-175. 1–17. 22 indexed citations
10.
Grassl, Peter, Milan Jirásek, & Domenico Gallipoli. (2019). Initiation of fluid-induced fracture in a thick-walled hollow permeable sphere. European Journal of Mechanics - A/Solids. 76. 123–134. 4 indexed citations
11.
Jirásek, Milan, et al.. (2016). Free Warping Analysis and Numerical Implementation. Applied Mechanics and Materials. 825. 141–148. 2 indexed citations
12.
Jirásek, Milan & Jan Zeman. (2015). Localization study of a regularized variational damage model. International Journal of Solids and Structures. 69-70. 131–151. 15 indexed citations
13.
Grassl, Peter, et al.. (2014). Evaluation of nonlocal approaches for modelling fracture near nonconvex boundaries. International Journal of Solids and Structures. 51(18). 3239–3251. 36 indexed citations
14.
Jirásek, Milan, Ondřej Rokoš, & Jan Zeman. (2012). Localization analysis of variationally based gradient plasticity model. International Journal of Solids and Structures. 50(1). 256–269. 10 indexed citations
15.
Patzák, B. & Milan Jirásek. (2003). Process zone resolution by extended finite elements. Engineering Fracture Mechanics. 70(7-8). 957–977. 75 indexed citations
16.
Jirásek, Milan. (2002). Numerical modeling of strong discontinuities. Revue française de génie civil. 6(6). 1133–1146. 7 indexed citations
17.
Jirásek, Milan & Z. P. Bažant. (2001). Inelastic Analysis of Structures. OpenGrey (Institut de l'Information Scientifique et Technique). 478 indexed citations
18.
Jirásek, Milan. (1998). Nonlocal models for damage and fracture: Comparison of approaches. International Journal of Solids and Structures. 35(31-32). 4133–4145. 327 indexed citations
19.
Jirásek, Milan & Thomas Zimmermann. (1998). Analysis of Rotating Crack Model. Journal of Engineering Mechanics. 124(8). 842–851. 113 indexed citations
20.
Jirásek, Milan & Thomas Zimmermann. (1998). Rotating Crack Model with Transition to Scalar Damage. Journal of Engineering Mechanics. 124(3). 277–284. 114 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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