Róbert Kersner
Impact in
- Applied Mathematics top 1%
- Nonlinear Partial Differential Equations
- Nonlinear Differential Equations Analysis
- Numerical Analysis top 2%
- Differential Equations and Numerical Methods
Papers in
-
- Nonlinear Partial Differential Equations 13
- Nonlinear Differential Equations Analysis 5
-
- Advanced Mathematical Modeling in Engineering 19
- Co-authors
- Brian H. Gilding (11 shared papers)M. Guedda (8 shared papers)Jesús Ildefonso Díaz Díaz (3 shared papers)Michiel Bertsch (3 shared papers)L. A. Peletier (1 shared paper)Alberto Tesei (4 shared papers)S. Kamin (2 shared papers)Pierre Baras (1 shared paper)
In The Last Decade
Róbert Kersner
46 papers receiving 904 citations
Peers
Comparison fields: 5 of 60
- Applied Mathematics 568
- Numerical Analysis 263
- Modeling and Simulation 183
- Mathematical Physics 313
- Computational Theory and Mathematics 401
Countries citing papers authored by Róbert Kersner
This map shows the geographic impact of Róbert Kersner'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 Róbert Kersner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Róbert Kersner more than expected).
Fields of papers citing papers by Róbert Kersner
This network shows the impact of papers produced by Róbert Kersner. 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 Róbert Kersner. The network helps show where Róbert Kersner may publish in the future.
Co-authors
The 21 scholars most cited alongside Róbert Kersner, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 215 | |
| 2 | 1987 | 88 | |
| 3 | 1985 | 78 | |
| 4 | 2003 | 63 | |
| 5 | 1996 | 47 | |
| 6 | 1980 | 46 | |
| 7 | 1987 | 40 | |
| 8 | 2005 | 39 | |
| 9 | The Cauchy problem for ut= u+| u|q | 2003 | 35 |
| 10 | 1983 | 34 | |
| 11 | 1993 | 31 | |
| 12 | On the Cauchy problem for a class of linear parabolic equations with variable density | 1997 | 21 |
| 13 | 1996 | 20 | |
| 14 | 2007 | 19 | |
| 15 | 2002 | 18 | |
| 16 | 1992 | 16 | |
| 17 | 2004 | 16 | |
| 18 | 2010 | 16 | |
| 19 | 2004 | 15 | |
| 20 | 1990 | 14 |
About Róbert Kersner
Róbert Kersner is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Mathematical Physics, Numerical Analysis and Modeling and Simulation, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (19 papers), Nonlinear Partial Differential Equations (13 papers), Differential Equations and Numerical Methods (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Fractional Differential Equations Solutions (8 papers), Stability and Controllability of Differential Equations (6 papers), Mathematical Biology Tumor Growth (5 papers) and Nonlinear Differential Equations Analysis (5 papers). The work is most often cited by research in Applied Mathematics (568 citations), Numerical Analysis (263 citations), Modeling and Simulation (183 citations), Mathematical Physics (313 citations) and Computational Theory and Mathematics (401 citations). Róbert Kersner has collaborated with scholars based in Hungary, France and Italy. Frequent co-authors include Brian H. Gilding, M. Guedda, Jesús Ildefonso Díaz Díaz, Michiel Bertsch, L. A. Peletier, Alberto Tesei, S. Kamin, Pierre Baras, Francesco Nicolosi and Andrey Shishkov. Their work appears in journals such as Journal of Differential Equations, Journal of Mathematical Analysis and Applications, Nonlinear Analysis, Asymptotic Analysis and Advances in Differential Equations.
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.