Werner M. Seiler
- Computational Theory and Mathematics top 2%
- Algebra and Number Theory top 10%
- Geometry and Topology top 5%
- Statistical and Nonlinear Physics top 5%
- Numerical Analysis top 5%
- Co-authors
- Amir HashemiAndreas Weber⋆Thomas SturmDima GrigorievM. EiswirthR.W. TuckerWaldir L. RoqueWolfram Koepf
- Topics
- Polynomial and algebraic computation (33 papers)Commutative Algebra and Its Applications (22 papers)Numerical methods for differential equations (16 papers)
- Partner nations
- GermanyIranUnited Kingdom
In The Last Decade
Werner M. Seiler
49 papers receiving 364 citations
Peers
Comparison fields: 5 of 48
- Computational Theory and Mathematics 212
- Algebra and Number Theory 138
- Geometry and Topology 117
- Statistical and Nonlinear Physics 103
- Numerical Analysis 91
Countries citing papers authored by Werner M. Seiler
This map shows the geographic impact of Werner M. Seiler'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 Werner M. Seiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Werner M. Seiler more than expected).
Fields of papers citing papers by Werner M. Seiler
This network shows the impact of papers produced by Werner M. Seiler. 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 Werner M. Seiler. The network helps show where Werner M. Seiler may publish in the future.
Co-authorship network of co-authors of Werner M. Seiler
This figure shows the co-authorship network connecting the top 25 collaborators of Werner M. Seiler. A scholar is included among the top collaborators of Werner M. Seiler 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 Werner M. Seiler. Werner M. Seiler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 29 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | Parametric qualitative analysis of ordinary differential equations: computer algebra methods for excluding oscillations | 3 |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 7 | |
| 20 | 3 |
About Werner M. Seiler
Werner M. Seiler is a scholar working on Algebra and Number Theory, Numerical Analysis and Computational Theory and Mathematics, having authored 60 papers that have together received 379 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (33 papers), Commutative Algebra and Its Applications (22 papers) and Numerical methods for differential equations (16 papers). The work is most often cited by research in Algebra and Number Theory (138 citations), Numerical Analysis (91 citations) and Computational Mathematics (9 citations). Werner M. Seiler has collaborated with scholars based in Germany, Iran and United Kingdom. Frequent co-authors include Amir Hashemi, Andreas Weber⋆, Thomas Sturm, Dima Grigoriev, M. Eiswirth, R.W. Tucker, Waldir L. Roque, Wolfram Koepf, Vladimir P. Gerdt and Jacques Calmet. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and Computer Physics Communications.
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.