J. Szabados
- Applied Mathematics top 1%
- Numerical Analysis top 2%
- Statistics and Probability top 1%
- Computational Mechanics top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- G. MastroianniMarcel G. de BruinAndrás KroóTamás ErdélyiBiancamaria Della VecchiaBéla Szõkefalvi-NagyA. K. VarmaG. Freud
- Topics
- Mathematical functions and polynomials (41 papers)Approximation Theory and Sequence Spaces (36 papers)Iterative Methods for Nonlinear Equations (28 papers)
In The Last Decade
J. Szabados
83 papers receiving 668 citations
Peers
Comparison fields: 5 of 51
- Applied Mathematics 503
- Numerical Analysis 361
- Statistics and Probability 274
- Computational Mechanics 138
- Computational Theory and Mathematics 93
Countries citing papers authored by J. Szabados
This map shows the geographic impact of J. Szabados'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 J. Szabados with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Szabados more than expected).
Fields of papers citing papers by J. Szabados
This network shows the impact of papers produced by J. Szabados. 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 J. Szabados. The network helps show where J. Szabados may publish in the future.
Co-authorship network of co-authors of J. Szabados
This figure shows the co-authorship network connecting the top 25 collaborators of J. Szabados. A scholar is included among the top collaborators of J. Szabados based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Szabados. J. Szabados is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Barycentric interpolation at equidistant nodes | 0 |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | Interpolation by elliptic functions | 0 |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | On density of homogeneous polynomials on convex and star-like surfaces in Rd | 4 |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 7 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 26 | |
| 19 | 3 | |
| 20 | Functions, series, operators | 28 |
About J. Szabados
J. Szabados is a scholar working on Numerical Analysis, Applied Mathematics and Statistics and Probability, having authored 91 papers that have together received 743 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (41 papers), Approximation Theory and Sequence Spaces (36 papers) and Iterative Methods for Nonlinear Equations (28 papers). The work is most often cited by research in Numerical Analysis (361 citations), Applied Mathematics (503 citations) and Statistics and Probability (274 citations). J. Szabados has collaborated with scholars based in Hungary, Slovakia and Italy. Frequent co-authors include G. Mastroianni, Marcel G. de Bruin, András Kroó, Tamás Erdélyi, Biancamaria Della Vecchia, Béla Szõkefalvi-Nagy, A. K. Varma, G. Freud, H. N. Mhaskar and N. K. Govil. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Journal of Computational and Applied Mathematics and Bulletin of the London Mathematical Society.
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.