Daniel Ševčovič
Impact in
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
- Finance top 5%
- Stochastic processes and financial applications
Papers in
- Finance 28
- Stochastic processes and financial applications 28
- Capital Investment and Risk Analysis 7
- Financial Markets and Investment Strategies 7
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- Advanced Mathematical Modeling in Engineering 10
- Co-authors
- Karol Mikula (8 shared papers)Carlos Vázquez (3 shared papers)Peter Sarkoci (1 shared paper)Zuzana Mácová (1 shared paper)Michal Beneš (6 shared papers)Naoyuki Ishimura (1 shared paper)Miroslav Kolář (5 shared papers)Subhasis Chaudhuri (1 shared paper)
In The Last Decade
Daniel Ševčovič
56 papers receiving 537 citations
Peers
Comparison fields: 5 of 70
- Numerical Analysis 116
- Finance 196
- Computer Graphics and Computer-Aided Design 71
- Computational Mechanics 230
- Applied Mathematics 114
Countries citing papers authored by Daniel Ševčovič
This map shows the geographic impact of Daniel Ševčovič'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 Daniel Ševčovič with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ševčovič more than expected).
Fields of papers citing papers by Daniel Ševčovič
This network shows the impact of papers produced by Daniel Ševčovič. 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 Daniel Ševčovič. The network helps show where Daniel Ševčovič may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniel Ševčovič, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 84 | |
| 2 | 2005 | 57 | |
| 3 | 2004 | 52 | |
| 4 | 2004 | 50 | |
| 5 | Analytical and Numerical Methods for Pricing Financial Derivatives | 2011 | 32 |
| 6 | 2005 | 28 | |
| 7 | 2001 | 25 | |
| 8 | 2016 | 25 | |
| 9 | 2011 | 22 | |
| 10 | 2014 | 20 | |
| 11 | 1999 | 20 | |
| 12 | 2018 | 15 | |
| 13 | 2009 | 13 | |
| 14 | 2012 | 12 | |
| 15 | On a two-phase minmax method for parameter estimation of the Cox, Ingersoll, and Ross interest rate model | 2005 | 12 |
| 16 | 2008 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2009 | 10 | |
| 19 | 2013 | 8 | |
| 20 | 2008 | 8 |
About Daniel Ševčovič
Daniel Ševčovič is a scholar working on Finance, Computational Theory and Mathematics, Applied Mathematics, Numerical Analysis and Computational Mechanics, having authored 64 papers that have together received 609 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (28 papers), Advanced Mathematical Modeling in Engineering (10 papers), Geometric Analysis and Curvature Flows (9 papers), Differential Equations and Numerical Methods (9 papers), Advanced Numerical Analysis Techniques (9 papers), Capital Investment and Risk Analysis (7 papers), Financial Markets and Investment Strategies (7 papers) and Insurance, Mortality, Demography, Risk Management (7 papers). The work is most often cited by research in Numerical Analysis (116 citations), Finance (196 citations), Computer Graphics and Computer-Aided Design (71 citations), Computational Mechanics (230 citations) and Applied Mathematics (114 citations). Daniel Ševčovič has collaborated with scholars based in Slovakia, Russia and Czechia. Frequent co-authors include Karol Mikula, Carlos Vázquez, Peter Sarkoci, Zuzana Mácová, Michal Beneš, Naoyuki Ishimura, Miroslav Kolář, Subhasis Chaudhuri, Sumantra Dutta Roy and P. Brunovský. Their work appears in journals such as Mathematical Methods in the Applied Sciences, Computing and Visualization in Science, Kybernetika, SIAM Journal on Applied Mathematics and Computers & Mathematics with 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.