Gábor Szegő
- Applied Mathematics top 0.05%
- Computational Theory and Mathematics top 0.1%
- Mathematical Physics top 0.2%
- Geometry and Topology top 0.2%
- Statistics and Probability top 0.5%
- Co-authors
- George PólyaUlf GrenanderMark KacGeorg PólyaLeonard J. SavageHenry HelsonSamuel KarlinA. Zygmund
- Topics
- Mathematical functions and polynomials (4 papers)Iterative Methods for Nonlinear Equations (3 papers)Functional Equations Stability Results (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationEconometrica
- Partner nations
- United StatesCanada
In The Last Decade
Gábor Szegő
35 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Applied Mathematics 3.0k
- Computational Theory and Mathematics 2.1k
- Mathematical Physics 1.6k
- Geometry and Topology 1.3k
- Statistics and Probability 688
Countries citing papers authored by Gábor Szegő
This map shows the geographic impact of Gábor Szegő'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 Gábor Szegő with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Szegő more than expected).
Fields of papers citing papers by Gábor Szegő
This network shows the impact of papers produced by Gábor Szegő. 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 Gábor Szegő. The network helps show where Gábor Szegő may publish in the future.
Co-authorship network of co-authors of Gábor Szegő
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Szegő. A scholar is included among the top collaborators of Gábor Szegő 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 Gábor Szegő. Gábor Szegő is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 152 | |
| 2 | Theory of functions, zeros, polynomials, determinants, number theory, geometry | 9 |
| 3 | 61 | |
| 4 | 95 | |
| 5 | Series, integral calculus, theory of functions | 4 |
| 6 | 33 | |
| 7 | 38 | |
| 8 | On the Decision Problem for Algebraic Rings | 14 |
| 9 | 4 | |
| 10 | 1 | |
| 11 | An extremum problem for polynomials | 12 |
| 12 | 1 | |
| 13 | 85 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | Toeplitz Forms and Their Applications.breakdown → | 805 |
| 17 | 13 | |
| 18 | 123 | |
| 19 | 3 | |
| 20 | Isoperimetric inequalities in mathematical physicsbreakdown → | 1046 |
About Gábor Szegő
Gábor Szegő is a scholar working on Theoretical Computer Science, Applied Mathematics and Numerical Analysis, having authored 39 papers that have together received 7.5k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (4 papers), Iterative Methods for Nonlinear Equations (3 papers) and Functional Equations Stability Results (2 papers). The work is most often cited by research in Applied Mathematics (3.0k citations), Mathematical Physics (1.6k citations) and Geometry and Topology (1.3k citations). Gábor Szegő has collaborated with scholars based in United States and Canada. Frequent co-authors include George Pólya, Ulf Grenander, Mark Kac, Georg Pólya, Leonard J. Savage, Henry Helson, Samuel Karlin, A. Zygmund, I. J. Schoenberg and M. M. Schiffer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Econometrica.
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.