Martin Kružík

1.4k citations
88 papers · 825 indexed · h-index 16
Topics
Advanced Mathematical Modeling in Engineering (27 papers)Shape Memory Alloy Transformations (15 papers)Elasticity and Material Modeling (15 papers)
Partner nations
CzechiaGermanyItaly

In The Last Decade

Martin Kružík

79 papers receiving 741 citations

Peers

Martin Kružík
Comparison fields: 5 of 54
  • Materials Chemistry 305
  • Computational Theory and Mathematics 302
  • Mechanics of Materials 278
  • Biomedical Engineering 165
  • Computational Mechanics 121
Replace Maria Giovanna Mora with:
Maria Giovanna Mora Italy
Ulisse Stefanelli Italy
J. Sprekels Germany
Stuart S. Antman United States
K. A. Lurie United States
Chuanjun Chen China
C.S. Chen United States
Reinhold Schneider Austria
Duvan Henao Chile
Xianmin Xu China
Martin Kružík relative to Maria Giovanna Mora Italy Maria Giovanna Mora's profile →
Citations per field
00.5×2.8×
Maria Giovanna Mora · 1×
Citations per year

Countries citing papers authored by Martin Kružík

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kružík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kružík

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kružík. A scholar is included among the top collaborators of Martin Kružík 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 Martin Kružík. Martin Kružík 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
#WorkIndexed citations
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8 2
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11 44
12 7
13 1
14 5
15 10
16 1
17 7
18
On the composition of quasiconvex functions and the transposition.
7
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About Martin Kružík

Martin Kružík is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Mechanics of Materials, having authored 88 papers that have together received 825 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (27 papers), Shape Memory Alloy Transformations (15 papers) and Elasticity and Material Modeling (15 papers). The work is most often cited by research in Computational Theory and Mathematics (302 citations), Applied Mathematics (121 citations) and Mechanics of Materials (278 citations). Martin Kružík has collaborated with scholars based in Czechia, Germany and Italy. Frequent co-authors include Tomáš Roubı́ček, Andreas Prohl, Radan Sedláček, Jan Kratochvı́l, Alexander Mielke, Barbora Benešová, Ulisse Stefanelli, Agnieszka Kałamajska, Jan Zeman and Irene Fonseca. Their work appears in journals such as Physical Review B, Acta Materialia 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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