Ivan Cimrák
Impact in
- Numerical Analysis top 10%
- Differential Equations and Numerical Methods
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics
Papers in
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- Advanced Numerical Methods in Computational Mathematics 14
- Lattice Boltzmann Simulation Studies 8
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- Blood properties and coagulation 17
- Co-authors
- Markus Gusenbauer (5 shared papers)Marián Slodička (4 shared papers)T. Schrefl (3 shared papers)Roger Van Keer (4 shared papers)Martin Slavík (2 shared papers)Peter Sergeant (3 shared papers)Rudolf Weeber (1 shared paper)Martin Brandl (2 shared papers)
In The Last Decade
Ivan Cimrák
62 papers receiving 501 citations
Peers
Comparison fields: 5 of 61
- Numerical Analysis 80
- Computational Mechanics 191
- Mathematical Physics 68
- Fluid Flow and Transfer Processes 43
- Pulmonary and Respiratory Medicine 147
Countries citing papers authored by Ivan Cimrák
This map shows the geographic impact of Ivan Cimrák'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 Cimrák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Cimrák more than expected).
Fields of papers citing papers by Ivan Cimrák
This network shows the impact of papers produced by Ivan Cimrák. 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 Cimrák. The network helps show where Ivan Cimrák may publish in the future.
Co-authors
The 12 scholars most cited alongside Ivan Cimrák, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 73 | |
| 2 | 2012 | 45 | |
| 3 | 2013 | 45 | |
| 4 | 2005 | 38 | |
| 5 | 2003 | 22 | |
| 6 | 2007 | 22 | |
| 7 | 2006 | 19 | |
| 8 | 2018 | 15 | |
| 9 | 2004 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2016 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2007 | 12 | |
| 15 | 2008 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2017 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2003 | 7 |
About Ivan Cimrák
Ivan Cimrák is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine, Mathematical Physics, Computational Theory and Mathematics and Biomedical Engineering, having authored 66 papers that have together received 543 indexed citations. Recurring topics across this work include Blood properties and coagulation (17 papers), Numerical methods in inverse problems (14 papers), Advanced Numerical Methods in Computational Mathematics (14 papers), Advanced Mathematical Modeling in Engineering (13 papers), Microfluidic and Bio-sensing Technologies (10 papers), Erythrocyte Function and Pathophysiology (9 papers), Lattice Boltzmann Simulation Studies (8 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Numerical Analysis (80 citations), Computational Mechanics (191 citations), Mathematical Physics (68 citations), Fluid Flow and Transfer Processes (43 citations) and Pulmonary and Respiratory Medicine (147 citations). Ivan Cimrák has collaborated with scholars based in Slovakia, Belgium and Austria. Frequent co-authors include Markus Gusenbauer, Marián Slodička, T. Schrefl, Roger Van Keer, Martin Slavík, Peter Sergeant, Rudolf Weeber, Martin Brandl, Luc Dupré and Lukáš Plank. Their work appears in journals such as Journal of Computational and Applied Mathematics, Mathematical Methods in the Applied Sciences, Archives of Computational Methods in Engineering, Physica B Condensed Matter and Journal of Computational Physics.
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.