Elias Jarlebring
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 2%
- Control and Systems Engineering top 5%
- Statistical and Nonlinear Physics top 5%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Wim MichielsKarl MeerbergenTobias DammHeinrich VoßMichiel E. HochstenbachSimen KvaalFederico PoloniOlof Runborg
- Topics
- Matrix Theory and Algorithms (31 papers)Numerical methods for differential equations (13 papers)Electromagnetic Scattering and Analysis (12 papers)
In The Last Decade
Elias Jarlebring
46 papers receiving 664 citations
Peers
Comparison fields: 5 of 63
- Computational Theory and Mathematics 304
- Numerical Analysis 274
- Control and Systems Engineering 251
- Statistical and Nonlinear Physics 227
- Atomic and Molecular Physics, and Optics 114
Countries citing papers authored by Elias Jarlebring
This map shows the geographic impact of Elias Jarlebring'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 Elias Jarlebring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elias Jarlebring more than expected).
Fields of papers citing papers by Elias Jarlebring
This network shows the impact of papers produced by Elias Jarlebring. 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 Elias Jarlebring. The network helps show where Elias Jarlebring may publish in the future.
Co-authorship network of co-authors of Elias Jarlebring
This figure shows the co-authorship network connecting the top 25 collaborators of Elias Jarlebring. A scholar is included among the top collaborators of Elias Jarlebring 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 Elias Jarlebring. Elias Jarlebring is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | Preconditioning for linear systems | 1 |
| 7 | 10 | |
| 8 | 14 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | Efficient resonance computations for Helmholtz problems based on a Dirichlet-to-Neumann map | 7 |
| 12 | A spatially adaptive iterative method for a class of nonlinear operator eigenproblems | 4 |
| 13 | 10 | |
| 14 | An Arnoldi like method for the delay eigenvalue problem | 4 |
| 15 | 25 | |
| 16 | 51 | |
| 17 | 3 | |
| 18 | 14 | |
| 19 | 17 | |
| 20 | Krylov Methods for Nonlinear Eigenvalue Problems | 4 |
About Elias Jarlebring
Elias Jarlebring is a scholar working on Numerical Analysis, Computational Mathematics and Computational Theory and Mathematics, having authored 47 papers that have together received 711 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (31 papers), Numerical methods for differential equations (13 papers) and Electromagnetic Scattering and Analysis (12 papers). The work is most often cited by research in Numerical Analysis (274 citations), Computational Theory and Mathematics (304 citations) and Statistical and Nonlinear Physics (227 citations). Elias Jarlebring has collaborated with scholars based in Belgium, Sweden and Germany. Frequent co-authors include Wim Michiels, Karl Meerbergen, Tobias Damm, Wim Michiels, Heinrich Voß, Michiel E. Hochstenbach, Simen Kvaal, Federico Poloni, Olof Runborg and Roel Van Beeumen. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Physical Review A.
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.