Marián Slodička

130 papers receiving 1.0k citations

Peers

Marián Slodička
Comparison fields: 5 of 74
  • Mathematical Physics 533
  • Modeling and Simulation 206
  • Numerical Analysis 182
  • Computational Theory and Mathematics 292
  • Applied Mathematics 175
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Zhi Qian China
Weifu Fang United States
Xiangtuan Xiong China
Alemdar Hasanov Türkiye
C. Palencia Spain
Houde Han China
Kenneth L. Bowers United States
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W. E. Olmstead United States
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Citations per year

Countries citing papers authored by Marián Slodička

Since Specialization
Citations

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

Fields of papers citing papers by Marián Slodička

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marián Slodička, 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 Marián Slodička Line = papers co-authored together Marián Slodička links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200746
2 200244
3 201741
4 201833
5 201631
6 201230
7 201230
8 200929
9 201228
10 200827
11 201422
12 200322
13 201421
14 200220
15 200519
16 201417
17 200317
18 200416
19
Semigroup formulation of Rothe's method: Application to parabolic problems
199216
20 201715

About Marián Slodička

Marián Slodička is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Computational Mechanics, Mechanics of Materials and Numerical Analysis, having authored 135 papers that have together received 1.1k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (63 papers), Advanced Mathematical Modeling in Engineering (55 papers), Advanced Numerical Methods in Computational Mathematics (40 papers), Differential Equations and Numerical Methods (28 papers), Differential Equations and Boundary Problems (24 papers), Stability and Controllability of Differential Equations (19 papers), Numerical methods in engineering (16 papers) and Electromagnetic Simulation and Numerical Methods (12 papers). The work is most often cited by research in Mathematical Physics (533 citations), Modeling and Simulation (206 citations), Numerical Analysis (182 citations), Computational Theory and Mathematics (292 citations) and Applied Mathematics (175 citations). Marián Slodička has collaborated with scholars based in Belgium, Germany and United Kingdom. Frequent co-authors include Karel Van Bockstal, Ivan Cimrák, Roger Van Keer, Ľubomír Baňas, D. Lesnic, Rob De Staelen, Alemdar Hasanov, Tomas Johansson, Hennie De Schepper and Ryszard Paƚka. Their work appears in journals such as Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, Inverse Problems in Science and Engineering, Computers & Mathematics with Applications and Journal of Mathematical Analysis and Applications.

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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