David Lehký

801 total citations
51 papers, 562 citations indexed

About

David Lehký is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Building and Construction. According to data from OpenAlex, David Lehký has authored 51 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Civil and Structural Engineering, 19 papers in Statistics, Probability and Uncertainty and 12 papers in Building and Construction. Recurrent topics in David Lehký's work include Probabilistic and Robust Engineering Design (19 papers), Concrete Corrosion and Durability (18 papers) and Structural Health Monitoring Techniques (18 papers). David Lehký is often cited by papers focused on Probabilistic and Robust Engineering Design (19 papers), Concrete Corrosion and Durability (18 papers) and Structural Health Monitoring Techniques (18 papers). David Lehký collaborates with scholars based in Czechia, Austria and China. David Lehký's co-authors include Drahomír Novák, Alfred Strauß, Zbyněk Keršner, Thomas Zimmermann, Lixia Pan, Maosen Cao, Konrad Bergmeister, Yong Gao, Barbara Kucharczyková and Dan M. Frangopol and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Engineering Structures.

In The Last Decade

David Lehký

42 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Lehký Czechia 14 429 196 125 93 65 51 562
Mohammad Ali Barkhordari Iran 13 389 0.9× 308 1.6× 86 0.7× 143 1.5× 44 0.7× 35 550
Mansour Bagheri Iran 14 357 0.8× 210 1.1× 128 1.0× 148 1.6× 118 1.8× 23 597
Nader M. Okasha United States 15 567 1.3× 269 1.4× 77 0.6× 103 1.1× 134 2.1× 31 724
Diego Lorenzo Allaix Italy 12 314 0.7× 201 1.0× 107 0.9× 51 0.5× 45 0.7× 29 420
Jinkyo F. Choo South Korea 9 349 0.8× 111 0.6× 155 1.2× 60 0.6× 73 1.1× 43 447
António Abel Henriques Portugal 14 491 1.1× 155 0.8× 101 0.8× 68 0.7× 221 3.4× 33 592
M.J. Fadaee Iran 13 408 1.0× 122 0.6× 93 0.7× 113 1.2× 58 0.9× 40 507
F.A. DiazDelaO United Kingdom 12 206 0.5× 183 0.9× 52 0.4× 93 1.0× 54 0.8× 29 385
Hyun‐Moo Koh South Korea 13 569 1.3× 182 0.9× 36 0.3× 81 0.9× 84 1.3× 56 705
Chaolin Song China 11 237 0.6× 109 0.6× 62 0.5× 35 0.4× 45 0.7× 23 354

Countries citing papers authored by David Lehký

Since Specialization
Citations

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

Fields of papers citing papers by David Lehký

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lehký

This figure shows the co-authorship network connecting the top 25 collaborators of David Lehký. A scholar is included among the top collaborators of David Lehký 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 David Lehký. David Lehký 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.
Lehký, David, et al.. (2025). Physics‐informed Polynomial Chaos Expansion for Uncertainty Quantification of S‐N Curves. ce/papers. 8(3-4). 183–189.
2.
Lehký, David, et al.. (2024). Nonlinear global design resistance: Case studies of post‐tensioned concrete bridges made of I‐73 and KA‐61 girders. Structural Concrete. 25(6). 4167–4182. 1 indexed citations
3.
Lehký, David, et al.. (2023). Inverse Analysis and Optimization‐based Model Updating for Structural Damage Detection. ce/papers. 6(5). 1228–1233.
4.
Lehký, David, et al.. (2023). Determination of concrete fracture parameters using inverse analysis: Influence of the tensile softening model. Procedia Structural Integrity. 43. 258–263. 1 indexed citations
5.
Lehký, David, et al.. (2022). A utilization of the inverse response surface method for the reliability-based design of structures. Neural Computing and Applications. 34(15). 12845–12859. 5 indexed citations
6.
Lehký, David, et al.. (2021). Identification of AAAS Composites Mechanical Fracture Parameters. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 322. 66–71.
7.
Bayer, Patrik, et al.. (2021). MECHANICAL FRACTURE AND MICROSTRUCTURAL PARAMETERS OF ALKALI-ACTIVATED MATERIALS WITH A CERAMIC PRECURSOR. Silesian Digital Library (Silesian Library). 177(27). 118–140.
8.
Novák, Drahomír, et al.. (2020). Fiber-reinforced Cementitious Composite: Sensitivity Analysis and Parameter Identification . Advanced Materials Letters. 11(3). 1–5.
9.
10.
Šimonová, Hana, et al.. (2019). Identification of Mechanical Fracture Parameters of Alkali-Activated Slag Based Composites During Specimens Ageing. DSpace VŠB-TUO (VŠB-TUO). 1 indexed citations
11.
Pan, Lixia, et al.. (2018). Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble. Engineering Mechanics .... 637–640. 2 indexed citations
12.
Lehký, David, et al.. (2018). Inverse reliability-based optimization. AIP conference proceedings. 1978. 470016–470016. 1 indexed citations
13.
Podroužek, Jan, et al.. (2017). Concrete structures under combined mechanical and environmental actions: Modelling of durability and reliability. Computers and Concrete, an International Journal. 20(1). 99. 8 indexed citations
14.
Šimonová, Hana, et al.. (2017). Evaluation of Three-Point Bending Fracture Tests of Selected Concrete: Mechanical Fracture Parameters. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 259. 64–69.
15.
Cao, Maosen, et al.. (2015). Neural network ensemble-based parameter sensitivity analysis in civil engineering systems. Neural Computing and Applications. 28(7). 1583–1590. 58 indexed citations
16.
Strauß, Alfred, Thomas Zimmermann, David Lehký, Drahomír Novák, & Zbyněk Keršner. (2014). Stochastic fracture‐mechanical parameters for the performance‐based design of concrete structures. Structural Concrete. 15(3). 380–394. 35 indexed citations
17.
18.
Strauß, Alfred, Konrad Bergmeister, Roman Wan‐Wendner, Drahomír Novák, & David Lehký. (2007). Sensitivity factor based dynamic damage identification sara - part III. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
19.
Novák, Drahomír & David Lehký. (2006). ANN inverse analysis based on stochastic small-sample training set simulation. Engineering Applications of Artificial Intelligence. 19(7). 731–740. 73 indexed citations
20.
Strauß, Alfred, Konrad Bergmeister, Drahomír Novák, & David Lehký. (2004). Stochastische Parameteridentifikation bei Konstruktionsbeton für die Betonerhaltung. Beton- und Stahlbetonbau. 99(12). 967–974. 17 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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