Daniel Ševčovič
Impact in
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
-
- Computer Graphics and Visualization Techniques
Papers in
- Finance 25
- Stochastic processes and financial applications 25
- Capital Investment and Risk Analysis 7
-
- Advanced Mathematical Modeling in Engineering 9
- Co-authors
- Karol Mikula (8 shared papers)Carlos Vázquez (3 shared papers)Michal Beneš (5 shared papers)Peter Sarkoci (1 shared paper)Miroslav Kolář (4 shared papers)Subhasis Chaudhuri (1 shared paper)P. Brunovský (1 shared paper)Naoyuki Ishimura (1 shared paper)
In The Last Decade
Daniel Ševčovič
48 papers receiving 454 citations
Peers
Comparison fields: 5 of 68
- Numerical Analysis 100
- Computer Graphics and Computer-Aided Design 61
- Finance 161
- Applied Mathematics 104
- Computational Mechanics 199
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 17 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 73 | |
| 2 | 2005 | 52 | |
| 3 | 2004 | 49 | |
| 4 | 2004 | 45 | |
| 5 | 2005 | 27 | |
| 6 | Analytical and Numerical Methods for Pricing Financial Derivatives | 2011 | 26 |
| 7 | 2011 | 22 | |
| 8 | 2001 | 20 | |
| 9 | 2016 | 20 | |
| 10 | 1999 | 18 | |
| 11 | 2014 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2009 | 12 | |
| 14 | 2012 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2008 | 9 | |
| 17 | 2009 | 8 | |
| 18 | On a two-phase minmax method for parameter estimation of the Cox, Ingersoll, and Ross interest rate model | 2005 | 8 |
| 19 | Existence and limiting behaviour for damped nonlinear evolution equations with nonlocal terms | 1990 | 7 |
| 20 | 2008 | 7 |
About Daniel Ševčovič
Daniel Ševčovič is a scholar working on Finance, Computational Theory and Mathematics, Applied Mathematics, Computational Mechanics and Numerical Analysis, having authored 58 papers that have together received 527 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (25 papers), Advanced Numerical Analysis Techniques (9 papers), Advanced Mathematical Modeling in Engineering (9 papers), Geometric Analysis and Curvature Flows (9 papers), Capital Investment and Risk Analysis (7 papers), Differential Equations and Numerical Methods (7 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Insurance, Mortality, Demography, Risk Management (6 papers). The work is most often cited by research in Numerical Analysis (100 citations), Computer Graphics and Computer-Aided Design (61 citations), Finance (161 citations), Applied Mathematics (104 citations) and Computational Mechanics (199 citations). Daniel Ševčovič has collaborated with scholars based in Slovakia, Russia and Czechia. Frequent co-authors include Karol Mikula, Carlos Vázquez, Michal Beneš, Peter Sarkoci, Miroslav Kolář, Subhasis Chaudhuri, P. Brunovský, Naoyuki Ishimura, Sumantra Dutta Roy and Tibor Baška. Their work appears in journals such as Mathematical Methods in the Applied Sciences, SIAM Journal on Applied Mathematics, Japan Journal of Industrial and Applied Mathematics, Kybernetika and Computing and Visualization in Science.
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.