Ľubomír Baňas
- Numerical Analysis top 10%
- Differential Equations and Numerical Methods 4
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- Advanced Mathematical Modeling in Engineering 17
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics 17
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- Stochastic processes and financial applications 5
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- Solidification and crystal growth phenomena 14
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- Electromagnetic Simulation and Numerical Methods 6
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- Magnetic Properties and Applications 6
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- Theoretical and Computational Physics 5
- Co-authors
- Robert NürnbergAndreas ProhlMarián SlodičkaZdzisław BrzeźniakSören BartelsDirk PraetoriusReiner SchätzleMarcus Page
- Journals
- Computer Methods in Applied Mechanics and Engineering (1 paper)Mathematics of Computation (2 papers)SIAM Journal on Numerical Analysis (3 papers)
- Partner nations
- GermanyUnited KingdomBelgium
In The Last Decade
Ľubomír Baňas
31 papers receiving 302 citations
Peers
Comparison fields: 5 of 45
- Numerical Analysis 52
- Computational Theory and Mathematics 138
- Computational Mechanics 148
- Mathematical Physics 39
- Finance 33
Countries citing papers authored by Ľubomír Baňas
This map shows the geographic impact of Ľubomír Baňas'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 Ľubomír Baňas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ľubomír Baňas more than expected).
Fields of papers citing papers by Ľubomír Baňas
This network shows the impact of papers produced by Ľubomír Baňas. 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 Ľubomír Baňas. The network helps show where Ľubomír Baňas may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Ľubomír Baňas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 0 | |
| 8 | 2021 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 2016 | 9 | |
| 11 | 2013 | 4 | |
| 12 | 2013 | 11 | |
| 13 | 2012 | 3 | |
| 14 | 2010 | 8 | |
| 15 | 2009 | 4 | |
| 16 | 2008 | 11 | |
| 17 | 2007 | 31 | |
| 18 | 2006 | 11 | |
| 19 | 2005 | 6 | |
| 20 | 2004 | 4 |
About Ľubomír Baňas
Ľubomír Baňas is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Numerical Analysis, having authored 35 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (17 papers), Advanced Mathematical Modeling in Engineering (17 papers), Solidification and crystal growth phenomena (14 papers), Electromagnetic Simulation and Numerical Methods (6 papers), Magnetic Properties and Applications (6 papers), Theoretical and Computational Physics (5 papers), Stochastic processes and financial applications (5 papers) and Differential Equations and Numerical Methods (4 papers). The work is most often cited by research in Numerical Analysis (52 citations), Computational Theory and Mathematics (138 citations) and Computational Mechanics (148 citations). Ľubomír Baňas has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include Robert Nürnberg, Andreas Prohl, Marián Slodička, Zdzisław Brzeźniak, Sören Bartels, Dirk Praetorius, Reiner Schätzle, Marcus Page, Markus Klein and Benjamin Gess. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Mathematics of Computation and SIAM Journal on Numerical Analysis.
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.