Jens Saak
Impact in
- Numerical Analysis top 2%
- Numerical methods for differential equations
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- Model Reduction and Neural Networks
Papers in
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- Numerical methods for differential equations 23
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- Model Reduction and Neural Networks 53
- Co-authors
- Peter BennerPatrick KürschnerM. Monir UddinEberhard BänschMatthias HeinkenschlossMohammed Forhad UddinJörg FehrTatjana Stykel
- Journals
- SIAM Journal on Scientific Computing (4 papers)ETNA - Electronic Transactions on Numerical Analysis (3 papers)Numerical Algorithms (3 papers)Production Engineering (2 papers)Journal of the Franklin Institute (2 papers)
- Partner nations
- GermanyUnited StatesUruguay
In The Last Decade
Jens Saak
69 papers receiving 834 citations
Peers
Comparison fields: 5 of 64
- Numerical Analysis 341
- Statistical and Nonlinear Physics 659
- Computational Mathematics 31
- Statistics, Probability and Uncertainty 153
- Computational Theory and Mathematics 265
Countries citing papers authored by Jens Saak
This map shows the geographic impact of Jens Saak'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 Jens Saak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Saak more than expected).
Fields of papers citing papers by Jens Saak
This network shows the impact of papers produced by Jens Saak. 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 Jens Saak. The network helps show where Jens Saak may publish in the future.
Co-authors
The 25 scholars most cited alongside Jens Saak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 1 | |
| 7 | A Numerical Comparison of Different Solvers for Large-Scale, Continuous-Time Algebraic Riccati Equations and LQR Problems | 2020 | 22 |
| 8 | 2019 | 18 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 4 | |
| 13 | 2016 | 20 | |
| 14 | 2016 | 24 | |
| 15 | 2016 | 4 | |
| 16 | 2016 | 15 | |
| 17 | 2015 | 26 | |
| 18 | 2012 | 9 | |
| 19 | On the Parameter Selection Problem in the Newton-ADI Iteration for Large Scale Riccati Equations | 2007 | 32 |
| 20 | 2007 | 1 |
About Jens Saak
Jens Saak is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Computational Mathematics and Statistics, Probability and Uncertainty, having authored 73 papers that have together received 876 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (53 papers), Matrix Theory and Algorithms (24 papers), Numerical methods for differential equations (23 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Probabilistic and Robust Engineering Design (10 papers), Hydraulic and Pneumatic Systems (8 papers), Real-time simulation and control systems (7 papers) and Sparse and Compressive Sensing Techniques (5 papers). The work is most often cited by research in Numerical Analysis (341 citations), Statistical and Nonlinear Physics (659 citations), Computational Mathematics (31 citations), Statistics, Probability and Uncertainty (153 citations) and Computational Theory and Mathematics (265 citations). Jens Saak has collaborated with scholars based in Germany, United States and Uruguay. Frequent co-authors include Peter Benner, Patrick Kürschner, M. Monir Uddin, Eberhard Bänsch, Matthias Heinkenschloss, Mohammed Forhad Uddin, Jörg Fehr, Tatjana Stykel, Jan Heiland and Jack Dongarra. Their work appears in journals such as SIAM Journal on Scientific Computing, ETNA - Electronic Transactions on Numerical Analysis, Numerical Algorithms, Production Engineering and Journal of the Franklin Institute.
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.