Ivan Hlaváček

2.5k citations
126 papers · 1.3k · h-index 16

Impact in

Papers in

Ivan Hlaváček

108 papers receiving 1.1k citations

Peers

Ivan Hlaváček
Comparison fields: 5 of 65
  • Computational Theory and Mathematics 956
  • Mechanics of Materials 802
  • Computational Mechanics 449
  • Numerical Analysis 108
  • Statistics, Probability and Uncertainty 120
Replace Claudio Padra with:
Claudio Padra Argentina
R. Keunings Belgium
H. Blum Germany
Pierre Alart France
Frédéric de Gournay France
Samuel Amstutz France
Mircea Sofonea France
Patrick Hild France
Pierre Gosselet France
Michel Bernadou France
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Hlaváček

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Hlaváček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ivan Hlaváček, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan Hlaváček Line = papers co-authored together Ivan Hlaváček links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988397
2 197077
3 197071
4 199449
5 198242
6 200732
7 198027
8 197826
9 197621
10 198120
11 198318
12 198718
13 199718
14 199716
15 199616
16 196915
17 198415
18 197715
19 198214
20 200213

About Ivan Hlaváček

Ivan Hlaváček is a scholar working on Computational Theory and Mathematics, Mechanics of Materials, Computational Mechanics, Civil and Structural Engineering and Numerical Analysis, having authored 126 papers that have together received 1.3k indexed citations. Recurring topics across this work include Contact Mechanics and Variational Inequalities (60 papers), Advanced Mathematical Modeling in Engineering (40 papers), Advanced Numerical Methods in Computational Mathematics (32 papers), Numerical methods in engineering (30 papers), Topology Optimization in Engineering (24 papers), Composite Structure Analysis and Optimization (19 papers), Probabilistic and Robust Engineering Design (13 papers) and Differential Equations and Numerical Methods (12 papers). The work is most often cited by research in Computational Theory and Mathematics (956 citations), Mechanics of Materials (802 citations), Computational Mechanics (449 citations), Numerical Analysis (108 citations) and Statistics, Probability and Uncertainty (120 citations). Ivan Hlaváček has collaborated with scholars based in Czechia, Slovakia and United Kingdom. Frequent co-authors include Jaroslav Haslinger, Ján Lovíšek, J. Nečas, Jindřich Nečas, Michal Křı́žek, Jan Malý, M. Hlaváček, Jiřı́ Nedoma, Michal Křížek and J. R. Whiteman. Their work appears in journals such as Applications of Mathematics, Mathematics and Computers in Simulation, Journal of Mathematical Analysis and Applications, Mathematical Models and Methods in Applied Sciences and Computer Methods in Applied Mechanics and Engineering.

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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