Franz Peherstorfer
- Applied Mathematics top 0.5%
- Computational Theory and Mathematics top 1%
- Numerical Analysis top 2%
- Mathematical Physics top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Peter YuditskiiKnut PetrasAndrás KroóAlexander VolbergV. P. SpiridonovFrancisco MarcellánAlexei ZhedanovFëdor Nazarov
- Topics
- Mathematical functions and polynomials (67 papers)Matrix Theory and Algorithms (26 papers)Iterative Methods for Nonlinear Equations (20 papers)
- Journals
- Mathematics of ComputationSIAM Journal on Numerical AnalysisJournal of Mathematical Analysis and Applications
- Partner nations
- AustriaUnited StatesHungary
In The Last Decade
Franz Peherstorfer
93 papers receiving 941 citations
Peers
Comparison fields: 5 of 35
- Applied Mathematics 911
- Computational Theory and Mathematics 353
- Numerical Analysis 299
- Mathematical Physics 287
- Statistical and Nonlinear Physics 181
Countries citing papers authored by Franz Peherstorfer
This map shows the geographic impact of Franz Peherstorfer'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 Franz Peherstorfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franz Peherstorfer more than expected).
Fields of papers citing papers by Franz Peherstorfer
This network shows the impact of papers produced by Franz Peherstorfer. 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 Franz Peherstorfer. The network helps show where Franz Peherstorfer may publish in the future.
Co-authorship network of co-authors of Franz Peherstorfer
This figure shows the co-authorship network connecting the top 25 collaborators of Franz Peherstorfer. A scholar is included among the top collaborators of Franz Peherstorfer 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 Franz Peherstorfer. Franz Peherstorfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | Asymptotic representation of weighted L8- and L1-minimal polynomials | 2 |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | Chebyshev approximation via polynomial mappings and the convergence behaviour of Krylov subspace methods | 3 |
| 10 | 25 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 26 | |
| 15 | 20 | |
| 16 | 20 | |
| 17 | 53 | |
| 18 | 7 | |
| 19 | 24 | |
| 20 | 18 |
About Franz Peherstorfer
Franz Peherstorfer is a scholar working on Applied Mathematics, Numerical Analysis and Mathematical Physics, having authored 97 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (67 papers), Matrix Theory and Algorithms (26 papers) and Iterative Methods for Nonlinear Equations (20 papers). The work is most often cited by research in Applied Mathematics (911 citations), Numerical Analysis (299 citations) and Mathematical Physics (287 citations). Franz Peherstorfer has collaborated with scholars based in Austria, United States and Hungary. Frequent co-authors include Peter Yuditskii, Knut Petras, András Kroó, Alexander Volberg, V. P. Spiridonov, Francisco Marcellán, Alexei Zhedanov, Fëdor Nazarov, Leonid Golinskiĭ and Michael Schmuckenschläger. Their work appears in journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.
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.