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
-
- Fractional Differential Equations Solutions 8
- Co-authors
- Brian H. Gilding (10 shared papers)Mohammed Guedda (7 shared papers)Jesús Ildefonso Díaz Díaz (3 shared papers)Michiel Bertsch (3 shared papers)Lambertus A. Peletier (1 shared paper)Alberto Tesei (4 shared papers)Shoshana Kamin (2 shared papers)Pierre Baras (1 shared paper)
In The Last Decade
Róbert Kersner
45 papers receiving 928 citations
Peers
Comparison fields: 5 of 60
- Applied Mathematics 572
- Numerical Analysis 264
- Modeling and Simulation 185
- Mathematical Physics 315
- Computational Theory and Mathematics 408
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 22 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 223 | |
| 2 | 1987 | 91 | |
| 3 | 1985 | 79 | |
| 4 | 2003 | 64 | |
| 5 | 1996 | 47 | |
| 6 | 1980 | 46 | |
| 7 | 2005 | 43 | |
| 8 | 1987 | 38 | |
| 9 | The Cauchy problem for ut= u+| u|q | 2003 | 36 |
| 10 | 1983 | 33 | |
| 11 | 1993 | 32 | |
| 12 | On the Cauchy problem for a class of linear parabolic equations with variable density | 1997 | 21 |
| 13 | 2007 | 21 | |
| 14 | 1996 | 20 | |
| 15 | 2002 | 18 | |
| 16 | 2010 | 18 | |
| 17 | 2004 | 17 | |
| 18 | 1992 | 16 | |
| 19 | 2004 | 15 | |
| 20 | 1988 | 14 |
About Róbert Kersner
Róbert Kersner is a scholar working on Applied Mathematics, Modeling and Simulation, Numerical Analysis, Computational Theory and Mathematics and Mathematical Physics, having authored 49 papers that have together received 1.1k 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), Nonlinear Differential Equations Analysis (5 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Applied Mathematics (572 citations), Numerical Analysis (264 citations), Modeling and Simulation (185 citations), Mathematical Physics (315 citations) and Computational Theory and Mathematics (408 citations). Róbert Kersner has collaborated with scholars based in Hungary, France and Italy. Frequent co-authors include Brian H. Gilding, Mohammed Guedda, Jesús Ildefonso Díaz Díaz, Michiel Bertsch, Lambertus A. Peletier, Alberto Tesei, Shoshana Kamin, Pierre Baras, Francesco Nicolosi and Andrey Evgenievich Shishkov. Their work appears in journals such as Journal of Differential Equations, Journal of Mathematical Analysis and Applications, Nonlinear Analysis, Advances in Differential Equations and Asymptotic 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.