Ivan Cimrák

814 total citations
63 papers, 531 citations indexed

About

Ivan Cimrák is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine and Mathematical Physics. According to data from OpenAlex, Ivan Cimrák has authored 63 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Mechanics, 16 papers in Pulmonary and Respiratory Medicine and 15 papers in Mathematical Physics. Recurrent topics in Ivan Cimrák's work include Blood properties and coagulation (16 papers), Numerical methods in inverse problems (14 papers) and Advanced Numerical Methods in Computational Mathematics (14 papers). Ivan Cimrák is often cited by papers focused on Blood properties and coagulation (16 papers), Numerical methods in inverse problems (14 papers) and Advanced Numerical Methods in Computational Mathematics (14 papers). Ivan Cimrák collaborates with scholars based in Slovakia, Belgium and Austria. Ivan Cimrák's co-authors include Markus Gusenbauer, Marián Slodička, T. Schrefl, Roger Van Keer, Martin Slavík, Rudolf Weeber, Peter Sergeant, Martin Brandl, Ahmed Abou‐Elyazied Abdallh and Dušan Pudiš and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Physics Communications.

In The Last Decade

Ivan Cimrák

58 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Cimrák Slovakia 13 195 148 145 118 79 63 531
Björn Stinner United Kingdom 12 261 1.3× 81 0.5× 22 0.2× 35 0.3× 45 0.6× 21 921
Andreas Rätz Germany 14 341 1.7× 62 0.4× 12 0.1× 25 0.2× 59 0.7× 25 756
Xiaoqiang Wang China 9 154 0.8× 55 0.4× 31 0.2× 9 0.1× 25 0.3× 31 396
Abtin Rahimian United States 9 190 1.0× 85 0.6× 99 0.7× 70 0.6× 3 0.0× 10 441
R. van der Hout Netherlands 12 34 0.2× 46 0.3× 26 0.2× 84 0.7× 18 0.2× 25 482
A. F. Aljohani Saudi Arabia 15 206 1.1× 295 2.0× 4 0.0× 31 0.3× 96 1.2× 87 827
H. Schippers Netherlands 14 43 0.2× 41 0.3× 25 0.2× 250 2.1× 14 0.2× 49 526
Takeshi Mifune Japan 13 76 0.4× 32 0.2× 21 0.1× 256 2.2× 8 0.1× 93 517
Seungseok Oh United States 9 26 0.1× 359 2.4× 17 0.1× 48 0.4× 13 0.2× 18 469
Xinyu Chen China 9 158 0.8× 112 0.8× 46 0.3× 344 2.9× 5 0.1× 32 617

Countries citing papers authored by Ivan Cimrák

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ivan Cimrák

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Cimrák. A scholar is included among the top collaborators of Ivan Cimrák 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 Ivan Cimrák. Ivan Cimrák 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.
Cimrák, Ivan, et al.. (2025). Neural Network-Based Mammography Analysis: Augmentation Techniques for Enhanced Cancer Diagnosis—A Review. Bioengineering. 12(3). 232–232. 2 indexed citations
2.
3.
Cimrák, Ivan, et al.. (2023). Survey of Recent Deep Neural Networks with Strong Annotated Supervision in Histopathology. Computation. 11(4). 81–81. 7 indexed citations
4.
Cimrák, Ivan, et al.. (2023). Mammography Datasets for Neural Networks—Survey. Journal of Imaging. 9(5). 95–95. 4 indexed citations
5.
6.
Cimrák, Ivan, et al.. (2020). Advancements in Red Blood Cell Detection using Convolutional Neural Networks. 206–211. 1 indexed citations
7.
Gusenbauer, Markus, et al.. (2016). Sensing Platform for Computational and Experimental Analysis of Blood Cell Mechanical Stress and Activation in Microfluidics. Procedia Engineering. 168. 1390–1393. 5 indexed citations
8.
Cimrák, Ivan. (2015). A simplified model for dynamics of cell rolling and cell-surface adhesion1). AIP conference proceedings. 1648. 210005–210005. 2 indexed citations
9.
Cimrák, Ivan, et al.. (2013). On elasticity of spring network models used in blood flow simulations in espresso. QRU Quaderns de Recerca en Urbanisme. 133–144. 4 indexed citations
10.
Cimrák, Ivan, Markus Gusenbauer, & T. Schrefl. (2012). Modelling and simulation of processes in microfluidic devices for biomedical applications. Computers & Mathematics with Applications. 64(3). 278–288. 44 indexed citations
11.
Cimrák, Ivan. (2012). Material and Shape Derivative Method for Quasi-Linear Elliptic Systems with Applications in Inverse Electromagnetic Interface Problems. SIAM Journal on Numerical Analysis. 50(3). 1086–1110. 5 indexed citations
12.
Cimrák, Ivan, et al.. (2012). Mixed Tikhonov regularization in Banach spaces based on domain decomposition. Applied Mathematics and Computation. 218(23). 11583–11596. 4 indexed citations
13.
Cimrák, Ivan & Roger Van Keer. (2010). Level set method for the inverse elliptic problem in nonlinear electromagnetism. Journal of Computational Physics. 229(24). 9269–9283. 6 indexed citations
14.
Cimrák, Ivan, et al.. (2009). Determination of precession and dissipation parameters in micromagnetism. Journal of Computational and Applied Mathematics. 234(7). 2239–2249. 5 indexed citations
15.
Cimrák, Ivan. (2008). Convergence result for the constraint preserving mid-point scheme for micromagnetism. Journal of Computational and Applied Mathematics. 228(1). 238–246. 11 indexed citations
16.
Cimrák, Ivan. (2007). Error analysis of a numerical scheme for 3D Maxwell–Landau–Lifshitz system. Mathematical Methods in the Applied Sciences. 30(14). 1667–1683. 6 indexed citations
17.
Cimrák, Ivan. (2006). Existence, regularity and local uniqueness of the solutions to the Maxwell–Landau–Lifshitz system in three dimensions. Journal of Mathematical Analysis and Applications. 329(2). 1080–1093. 19 indexed citations
18.
Cimrák, Ivan. (2006). Regularity properties of the solutions to the 3D Maxwell–Landau–Lifshitz system in weighted Sobolev spaces. Journal of Computational and Applied Mathematics. 215(2). 320–327. 4 indexed citations
19.
Cimrák, Ivan & Roger Van Keer. (2006). Higher order regularity results in 3D for the Landau–Lifshitz equation with an exchange field. Nonlinear Analysis. 68(5). 1316–1331. 3 indexed citations
20.
Cimrák, Ivan & Marián Slodička. (2004). An iterative approximation scheme for the Landau–Lifshitz–Gilbert equation. Journal of Computational and Applied Mathematics. 169(1). 17–32. 14 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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