Ján Buša
Impact in
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- Computational Geometry and Mesh Generation
Papers in
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- Advanced Measurement and Metrology Techniques 4
- Material Science and Thermodynamics 3
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- Protein Structure and Dynamics 5
- Co-authors
- Shura Hayryan (5 shared papers)Chin‐Kun Hu (5 shared papers)Ming‐Chya Wu (4 shared papers)J. Skřivǎnek (3 shared papers)Ján Šaliga (2 shared papers)Michal Hnatič (3 shared papers)Juha Honkonen (1 shared paper)Denis Horváth (1 shared paper)
In The Last Decade
Ján Buša
36 papers receiving 267 citations
Peers
Comparison fields: 5 of 81
- Computer Graphics and Computer-Aided Design 14
- Toxicology 7
- Industrial and Manufacturing Engineering 20
- Computational Mechanics 34
- Computational Theory and Mathematics 20
Countries citing papers authored by Ján Buša
This map shows the geographic impact of Ján Buša'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 Ján Buša with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ján Buša more than expected).
Fields of papers citing papers by Ján Buša
This network shows the impact of papers produced by Ján Buša. 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 Ján Buša. The network helps show where Ján Buša may publish in the future.
Co-authors
The 25 scholars most cited alongside Ján Buša, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 43 | |
| 2 | 2004 | 40 | |
| 3 | 1997 | 22 | |
| 4 | 2013 | 18 | |
| 5 | 2014 | 14 | |
| 6 | 2021 | 14 | |
| 7 | Optimal replacement time estimation for machines and equipment based on cost function | 2013 | 13 |
| 8 | 2008 | 11 | |
| 9 | 2013 | 11 | |
| 10 | 2010 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2020 | 9 | |
| 13 | Error estimates for the time discretization for nonlinear Maxwell's equations | 2008 | 8 |
| 14 | 2018 | 8 | |
| 15 | 2010 | 7 | |
| 16 | 2013 | 5 | |
| 17 | 2000 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2012 | 3 | |
| 20 | Influence of anisotropy on the scaling regimes in fully developed turbulence | 2002 | 2 |
About Ján Buša
Ján Buša is a scholar working on Mechanical Engineering, Molecular Biology, Materials Chemistry, Computational Mechanics and Industrial and Manufacturing Engineering, having authored 42 papers that have together received 276 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Advanced Measurement and Metrology Techniques (4 papers), Material Science and Thermodynamics (3 papers), Enzyme Structure and Function (3 papers), Distributed and Parallel Computing Systems (3 papers), Nuclear physics research studies (2 papers), Manufacturing Process and Optimization (2 papers) and Advanced Electrical Measurement Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (14 citations), Toxicology (7 citations), Industrial and Manufacturing Engineering (20 citations), Computational Mechanics (34 citations) and Computational Theory and Mathematics (20 citations). Ján Buša has collaborated with scholars based in Slovakia, Russia and Armenia. Frequent co-authors include Shura Hayryan, Chin‐Kun Hu, Ming‐Chya Wu, J. Skřivǎnek, Ján Šaliga, Michal Hnatič, Juha Honkonen, Denis Horváth, Linus Michaeli and Dušan Podhradský. Their work appears in journals such as Computer Physics Communications, Metalurgija, Applied Sciences, Measurement and International Journal of Biological Macromolecules.
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.