Miroslav Vořechovský

1.7k total citations
68 papers, 1.2k citations indexed

About

Miroslav Vořechovský is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Mechanics of Materials. According to data from OpenAlex, Miroslav Vořechovský has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Civil and Structural Engineering, 24 papers in Statistics, Probability and Uncertainty and 21 papers in Mechanics of Materials. Recurrent topics in Miroslav Vořechovský's work include Probabilistic and Robust Engineering Design (24 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Optimal Experimental Design Methods (11 papers). Miroslav Vořechovský is often cited by papers focused on Probabilistic and Robust Engineering Design (24 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Optimal Experimental Design Methods (11 papers). Miroslav Vořechovský collaborates with scholars based in Czechia, Germany and United States. Miroslav Vořechovský's co-authors include Drahomír Novák, Rostislav Chudoba, Jan Eliáš, Zdeněk P. Bažant, Břetislav Teplý, Jan Skoček, Sze Dai Pang, Michael D. Shields, Thomas Gries and Abedulgader Baktheer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technometrics and Scientific Reports.

In The Last Decade

Miroslav Vořechovský

65 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miroslav Vořechovský Czechia 19 687 403 348 259 120 68 1.2k
Drahomír Novák Czechia 22 1.0k 1.5× 408 1.0× 398 1.1× 313 1.2× 60 0.5× 84 1.4k
Dimos C. Charmpis Cyprus 19 724 1.1× 186 0.5× 376 1.1× 315 1.2× 104 0.9× 47 1.1k
George Stefanou Greece 19 1.1k 1.6× 721 1.8× 1.2k 3.4× 139 0.5× 260 2.2× 59 1.9k
João B. Cardoso Portugal 8 416 0.6× 264 0.7× 309 0.9× 54 0.2× 122 1.0× 15 849
Tetsuro Ono Japan 13 1.0k 1.5× 544 1.3× 1.2k 3.5× 115 0.4× 233 1.9× 71 1.6k
Steffen Freitag Germany 17 558 0.8× 160 0.4× 153 0.4× 71 0.3× 35 0.3× 64 824
Luc Schueremans Belgium 19 974 1.4× 184 0.5× 186 0.5× 518 2.0× 72 0.6× 136 1.4k
Hongshuang Li China 20 524 0.8× 334 0.8× 751 2.2× 32 0.1× 262 2.2× 74 1.3k
G. Sandberg Sweden 8 428 0.6× 121 0.3× 264 0.8× 69 0.3× 69 0.6× 14 763
Sudip Dey India 28 1.1k 1.6× 1.0k 2.5× 611 1.8× 100 0.4× 139 1.2× 109 2.0k

Countries citing papers authored by Miroslav Vořechovský

Since Specialization
Citations

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

Fields of papers citing papers by Miroslav Vořechovský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miroslav Vořechovský

This figure shows the co-authorship network connecting the top 25 collaborators of Miroslav Vořechovský. A scholar is included among the top collaborators of Miroslav Vořechovský 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 Miroslav Vořechovský. Miroslav Vořechovský 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.
Vořechovský, Miroslav, et al.. (2025). Uncertainty quantification of engineering problems using N-body system designs: An overview. Advances in Engineering Software. 207. 103927–103927.
2.
Vořechovský, Miroslav, et al.. (2024). Advanced sampling discovers apparently similar ankle models with distinct internal load states under minimal parameter modification. Journal of Computational Science. 82. 102425–102425.
3.
Vořechovský, Miroslav, et al.. (2024). Stratified sample tiling. Advances in Engineering Software. 189. 103593–103593. 1 indexed citations
4.
Vořechovský, Miroslav, et al.. (2024). Shallow foundation design: a comparative study of partial safety factors and full probabilistic methods. Scientific Reports. 14(1). 13676–13676. 1 indexed citations
5.
Vořechovský, Miroslav, et al.. (2023). Failure probability estimation and detection of failure surfaces via adaptive sequential decomposition of the design domain. Structural Safety. 104. 102364–102364. 4 indexed citations
6.
Shields, Michael D., et al.. (2023). Active learning-based domain adaptive localized polynomial chaos expansion. Mechanical Systems and Signal Processing. 204. 110728–110728. 8 indexed citations
7.
Vořechovský, Miroslav, et al.. (2022). From computed tomography to finite element space: A unified bone material mapping strategy. Clinical Biomechanics. 97. 105704–105704. 4 indexed citations
8.
Vořechovský, Miroslav. (2022). Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces. Computer Methods in Applied Mechanics and Engineering. 401. 115606–115606. 10 indexed citations
9.
Vořechovský, Miroslav, et al.. (2021). Bone mineral density modeling via random field: Normality, stationarity, sex and age dependence. Computer Methods and Programs in Biomedicine. 210. 106353–106353. 10 indexed citations
10.
Vořechovský, Miroslav, et al.. (2021). Tensile behavior of carbon textile concrete composite captured using a probabilistic multiscale multiple cracking model. Composite Structures. 277. 114624–114624. 9 indexed citations
11.
Eliáš, Jan, et al.. (2020). Periodic version of the minimax distance criterion for Monte Carlo integration. Advances in Engineering Software. 149. 102900–102900. 14 indexed citations
12.
Vořechovský, Miroslav, et al.. (2017). FORMULATION OF POTENTIAL FOR DYNAMICAL PARTICLE SYSTEM APPLIED TO MONTE CARLO SAMPLING. 467–477. 1 indexed citations
13.
14.
Eliáš, Jan, Miroslav Vořechovský, Jan Skoček, & Zdeněk P. Bažant. (2015). Stochastic discrete meso-scale simulations of concrete fracture: Comparison to experimental data. Engineering Fracture Mechanics. 135. 1–16. 87 indexed citations
15.
Vořechovský, Miroslav, et al.. (2014). Analytical and Numerical Approaches to Modelling of Reinforcement Corrosion in Concrete. SHILAP Revista de lepidopterología. 14(1). 20–30. 2 indexed citations
16.
Vořechovský, Miroslav, et al.. (2013). Experimental Testing Of Statistical Size Effect In Civil Engineering Structures. Zenodo (CERN European Organization for Nuclear Research). 7(10). 716–723. 3 indexed citations
17.
Vořechovský, Miroslav. (2007). Simulation of simply cross correlated random fields by series expansion methods. Structural Safety. 30(4). 337–363. 98 indexed citations
18.
Vořechovský, Miroslav, Z. P. Bažant, & Drahomír Novák. (2005). 4704 - PROCEDURE OF STATISTICAL SIZE EFFECT PREDICTION FOR CRACK INITIATION PROBLEMS. 5980–5985. 2 indexed citations
19.
Chudoba, Rostislav, et al.. (2005). Stochastic modeling of multi-filament yarns. I. Random properties within the cross-section and size effect. International Journal of Solids and Structures. 43(3-4). 413–434. 61 indexed citations
20.
Vořechovský, Miroslav & Drahomír Novák. (2005). Simulation of random fields for stochastic finite element analyses. 10 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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