Jonas Ballani
- Computational Mathematics top 0.5%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Lars GrasedyckStefan SauterLehel BanjaiAlexander VeitNguyễn Kim LợiD.B.P. HuynhAnthony T. PateraDavid J. Knezevic
- Topics
- Tensor decomposition and applications (8 papers)Model Reduction and Neural Networks (5 papers)Probabilistic and Robust Engineering Design (2 papers)
- Cited by
- Computational MathematicsStatistical and Nonlinear PhysicsComputational Theory and Mathematics
- Journals
- Computer Methods in Applied Mechanics and EngineeringSIAM Journal on Scientific ComputingNumerische Mathematik
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Jonas Ballani
12 papers receiving 309 citations
Peers
Comparison fields: 5 of 39
- Computational Mathematics 226
- Computational Theory and Mathematics 135
- Statistical and Nonlinear Physics 123
- Computational Mechanics 97
- Statistics, Probability and Uncertainty 56
Countries citing papers authored by Jonas Ballani
This map shows the geographic impact of Jonas Ballani'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 Jonas Ballani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Ballani more than expected).
Fields of papers citing papers by Jonas Ballani
This network shows the impact of papers produced by Jonas Ballani. 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 Jonas Ballani. The network helps show where Jonas Ballani may publish in the future.
Co-authorship network of co-authors of Jonas Ballani
This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Ballani. A scholar is included among the top collaborators of Jonas Ballani 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 Jonas Ballani. Jonas Ballani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | True Fatigue Life Calculation Using Digital Twin Concept and Operational Modal Analysis | 6 |
| 2 | 21 | |
| 3 | 3 | |
| 4 | 27 | |
| 5 | 34 | |
| 6 | 5 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | 137 | |
| 10 | Fast Evaluation of Near-Field Boundary Integralsusing Tensor Approximations | 8 |
| 11 | 71 | |
| 12 | 11 |
About Jonas Ballani
Jonas Ballani is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 343 indexed citations. Recurring topics across this work include Tensor decomposition and applications (8 papers), Model Reduction and Neural Networks (5 papers) and Probabilistic and Robust Engineering Design (2 papers). The work is most often cited by research in Computational Mathematics (226 citations), Statistical and Nonlinear Physics (123 citations) and Computational Theory and Mathematics (135 citations). Jonas Ballani has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Lars Grasedyck, Stefan Sauter, Lehel Banjai, Alexander Veit, Nguyễn Kim Lợi, D.B.P. Huynh, Anthony T. Patera, David J. Knezevic and Daniel Kreßner. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, SIAM Journal on Scientific Computing 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.