Jasper van den Eshof
- Computational Theory and Mathematics top 2%
- Atomic and Molecular Physics, and Optics
- Numerical Analysis top 5%
- Nuclear and High Energy Physics
- Computational Mechanics
- Co-authors
- Gérard L. G. SleijpenJulien LangouMiroslav RozložńıkLuc GiraudAndreas FrommerThomas LippertKlaus SchillingH.A. van der Vorst
- Topics
- Matrix Theory and Algorithms (12 papers)Advanced Optimization Algorithms Research (4 papers)Electromagnetic Scattering and Analysis (4 papers)
- Partner nations
- NetherlandsGermanyFrance
In The Last Decade
Jasper van den Eshof
13 papers receiving 278 citations
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 199
- Atomic and Molecular Physics, and Optics 114
- Numerical Analysis 100
- Nuclear and High Energy Physics 65
- Computational Mechanics 49
Countries citing papers authored by Jasper van den Eshof
This map shows the geographic impact of Jasper van den Eshof'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 Jasper van den Eshof with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasper van den Eshof more than expected).
Fields of papers citing papers by Jasper van den Eshof
This network shows the impact of papers produced by Jasper van den Eshof. 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 Jasper van den Eshof. The network helps show where Jasper van den Eshof may publish in the future.
Co-authorship network of co-authors of Jasper van den Eshof
This figure shows the co-authorship network connecting the top 25 collaborators of Jasper van den Eshof. A scholar is included among the top collaborators of Jasper van den Eshof 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 Jasper van den Eshof. Jasper van den Eshof is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 90 | |
| 2 | Restarted GMRES with inexact matrix-vector products | 1 |
| 3 | 24 | |
| 4 | 30 | |
| 5 | 21 | |
| 6 | Relaxation strategies for nested Krylov methods | 9 |
| 7 | 14 | |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 99 | |
| 11 | 2 | |
| 12 | ACCURATE APPROXIMATIONS TO EIGENPAIRS USING THE HARMONIC RAYLEIGH-RITZ METHOD | 2 |
| 13 | The convergence of Jacobi-Davidson for Hermitian eigenproblems | 1 |
| 14 | Optimal a priori error bounds for the Rayleigh-Ritz method | 1 |
About Jasper van den Eshof
Jasper van den Eshof is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Mathematical Physics, having authored 14 papers that have together received 321 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (12 papers), Advanced Optimization Algorithms Research (4 papers) and Electromagnetic Scattering and Analysis (4 papers). The work is most often cited by research in Numerical Analysis (100 citations), Computational Mathematics (8 citations) and Computational Theory and Mathematics (199 citations). Jasper van den Eshof has collaborated with scholars based in Netherlands, Germany and France. Frequent co-authors include Gérard L. G. Sleijpen, Julien Langou, Miroslav Rozložńık, Luc Giraud, Andreas Frommer, Thomas Lippert, Klaus Schilling, H.A. van der Vorst, Martin B. van Gijzen and Nigel Cundy. Their work appears in journals such as Mathematics of Computation, Computer Physics Communications and Numerische Mathematik.
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.