P. Vértesi
Impact in
- Numerical Analysis top 1%
- Iterative Methods for Nonlinear Equations
- Mathematical Approximation and Integration
- Applied Mathematics top 0.5%
- Mathematical functions and polynomials
- Differential Equations and Boundary Problems
Papers in
-
- Mathematical functions and polynomials 69
- Differential Equations and Boundary Problems 20
-
- Iterative Methods for Nonlinear Equations 33
- Mathematical Approximation and Integration 9
- Co-authors
- G. Mastroianni (14 shared papers)Paul Nevai (2 shared papers)Paul Erdős (2 shared papers)Thomas Hermann (3 shared papers)A. K. Varma (3 shared papers)Giuliana Criscuolo (2 shared papers)Biancamaria Della Vecchia (7 shared papers)Pál Erdös (1 shared paper)
In The Last Decade
P. Vértesi
110 papers receiving 974 citations
Peers
Comparison fields: 5 of 47
- Numerical Analysis 472
- Applied Mathematics 822
- Statistics and Probability 319
- Modeling and Simulation 136
- Algebra and Number Theory 49
Countries citing papers authored by P. Vértesi
This map shows the geographic impact of P. Vértesi'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 P. Vértesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Vértesi more than expected).
Fields of papers citing papers by P. Vértesi
This network shows the impact of papers produced by P. Vértesi. 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 P. Vértesi. The network helps show where P. Vértesi may publish in the future.
Co-authors
The 17 scholars most cited alongside P. Vértesi, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 147 | |
| 2 | 1990 | 62 | |
| 3 | 1985 | 41 | |
| 4 | 1990 | 33 | |
| 5 | 1989 | 32 | |
| 6 | 1980 | 29 | |
| 7 | 1971 | 27 | |
| 8 | 1998 | 25 | |
| 9 | 2008 | 23 | |
| 10 | 2001 | 20 | |
| 11 | 1978 | 20 | |
| 12 | 1990 | 19 | |
| 13 | 1997 | 19 | |
| 14 | 1992 | 18 | |
| 15 | 1983 | 18 | |
| 16 | 1999 | 18 | |
| 17 | 1990 | 17 | |
| 18 | 1971 | 16 | |
| 19 | 1979 | 15 | |
| 20 | 1973 | 15 |
About P. Vértesi
P. Vértesi is a scholar working on Applied Mathematics, Numerical Analysis, Statistics and Probability, Computational Mechanics and Computational Theory and Mathematics, having authored 118 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (69 papers), Approximation Theory and Sequence Spaces (35 papers), Iterative Methods for Nonlinear Equations (33 papers), Advanced Numerical Analysis Techniques (24 papers), Differential Equations and Boundary Problems (20 papers), Matrix Theory and Algorithms (15 papers), Fractional Differential Equations Solutions (13 papers) and Mathematical Approximation and Integration (9 papers). The work is most often cited by research in Numerical Analysis (472 citations), Applied Mathematics (822 citations), Statistics and Probability (319 citations), Modeling and Simulation (136 citations) and Algebra and Number Theory (49 citations). P. Vértesi has collaborated with scholars based in Hungary, Slovakia and Italy. Frequent co-authors include G. Mastroianni, Paul Nevai, Paul Erdős, Thomas Hermann, A. K. Varma, Giuliana Criscuolo, Biancamaria Della Vecchia, Pál Erdös, Q. I. Rahman and Jorge J. Betancor. Their work appears in journals such as Journal of Approximation Theory, Acta Mathematica Academiae Scientiarum Hungaricae, Journal of Mathematical Analysis and Applications, Mathematics of Computation and IMA Journal of Numerical 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.