László Kudela

424 total citations
10 papers, 306 citations indexed

About

László Kudela is a scholar working on Mechanics of Materials, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, László Kudela has authored 10 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanics of Materials, 7 papers in Computational Mechanics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in László Kudela's work include Advanced Numerical Methods in Computational Mathematics (6 papers), Numerical methods in engineering (5 papers) and Elasticity and Material Modeling (2 papers). László Kudela is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (6 papers), Numerical methods in engineering (5 papers) and Elasticity and Material Modeling (2 papers). László Kudela collaborates with scholars based in Germany, Israel and Austria. László Kudela's co-authors include E. Rank, Stefan Kollmannsberger, Nils Zander, Tino Bog, Jörg Schröder, Alexander Düster, Shuohui Yin, Jan S. Kirschke, Martin Ruess and Thomas Baum and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Computational Mechanics and Machine Vision and Applications.

In The Last Decade

László Kudela

10 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
László Kudela Germany	7	251	171	62	51	30	10	306
Frits de Prenter Netherlands	8	260 1.0×	143 0.8×	61 1.0×	50 1.0×	39 1.3×	13	298
Elisabeth Malsch United States	6	234 0.9×	200 1.2×	76 1.2×	38 0.7×	52 1.7×	20	360
Meysam Joulaian Germany	8	245 1.0×	262 1.5×	32 0.5×	113 2.2×	28 0.9×	14	359
Andreas Apostolatos Germany	6	409 1.6×	171 1.0×	155 2.5×	12 0.2×	40 1.3×	17	448
Peter Möller Sweden	7	112 0.4×	96 0.6×	52 0.8×	71 1.4×	16 0.5×	15	250
Stefan May United Kingdom	9	244 1.0×	434 2.5×	20 0.3×	25 0.5×	28 0.9×	10	466
Karl Larsson Sweden	11	213 0.8×	152 0.9×	20 0.3×	33 0.6×	61 2.0×	18	268
Julien Vignollet United Kingdom	8	238 0.9×	422 2.5×	21 0.3×	21 0.4×	27 0.9×	9	451
Martin Čermák Czechia	9	99 0.4×	103 0.6×	23 0.4×	11 0.2×	52 1.7×	54	223
M. Dittmann Germany	13	283 1.1×	466 2.7×	30 0.5×	21 0.4×	75 2.5×	21	594

Countries citing papers authored by László Kudela

Since Specialization

Citations

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

Fields of papers citing papers by László Kudela

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Kudela

This figure shows the co-authorship network connecting the top 25 collaborators of László Kudela. A scholar is included among the top collaborators of László Kudela 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 László Kudela. László Kudela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Kudela, László, et al.. (2019). Direct structural analysis of domains defined by point clouds. Computer Methods in Applied Mechanics and Engineering. 358. 112581–112581. 20 indexed citations

Kollmannsberger, Stefan, et al.. (2019). Integrating CAD and numerical analysis: ‘Dirty geometry’ handling using the Finite Cell Method. Computer Methods in Applied Mechanics and Engineering. 351. 808–835. 25 indexed citations

Kudela, László, et al.. (2018). Image-based mesh generation of tubular geometries under circular motion in refractive environments. Machine Vision and Applications. 29(5). 719–733. 2 indexed citations

Kudela, László, et al.. (2017). Numerical integration of discontinuous functions: moment fitting and smart octree. Computational Mechanics. 60(5). 863–881. 50 indexed citations

Zander, Nils, Tino Bog, László Kudela, et al.. (2017). Multi‐levelhp‐finite cell method for embedded interface problems with application in biomechanics. International Journal for Numerical Methods in Biomedical Engineering. 34(4). e2951–e2951. 25 indexed citations

Hartmann, Stefan, et al.. (2016). Parameter identification of the passive response in arteries. 3 indexed citations

Kudela, László, Nils Zander, Stefan Kollmannsberger, & E. Rank. (2016). Smart octrees: Accurately integrating discontinuous functions in 3D. Computer Methods in Applied Mechanics and Engineering. 306. 406–426. 101 indexed citations

Hartmann, Stefan, et al.. (2016). Problems in parameter identification of the passive response in human arteries. PAMM. 16(1). 83–84. 3 indexed citations

Kudela, László, Nils Zander, Tino Bog, Stefan Kollmannsberger, & E. Rank. (2015). Efficient and accurate numerical quadrature for immersed boundary methods. Advanced Modeling and Simulation in Engineering Sciences. 2(1). 61 indexed citations

10.

Kudela, László. (2013). Highly Accurate Subcell Integration in the Context of The Finite Cell Method. 16 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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