Stefan Volkwein
- Statistical and Nonlinear Physics top 0.2%
- Computational Mechanics top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Numerical Analysis top 1%
- Control and Systems Engineering top 2%
- Co-authors
- Karl KunischFredi TröltzschMichael HinzeE. W. SachsDietmar HömbergAlessandro AllaRoland GriesseF. Leibfritz
- Topics
- Model Reduction and Neural Networks (49 papers)Advanced Numerical Methods in Computational Mathematics (33 papers)Probabilistic and Robust Engineering Design (28 papers)
- Journals
- Industrial & Engineering Chemistry ResearchSIAM Journal on Numerical AnalysisSIAM Journal on Scientific Computing
- Partner nations
- GermanyAustriaNetherlands
In The Last Decade
Stefan Volkwein
79 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 98
- Statistical and Nonlinear Physics 1.8k
- Computational Mechanics 1.2k
- Statistics, Probability and Uncertainty 801
- Numerical Analysis 619
- Control and Systems Engineering 434
Countries citing papers authored by Stefan Volkwein
This map shows the geographic impact of Stefan Volkwein'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 Stefan Volkwein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Volkwein more than expected).
Fields of papers citing papers by Stefan Volkwein
This network shows the impact of papers produced by Stefan Volkwein. 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 Stefan Volkwein. The network helps show where Stefan Volkwein may publish in the future.
Co-authorship network of co-authors of Stefan Volkwein
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Volkwein. A scholar is included among the top collaborators of Stefan Volkwein 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 Stefan Volkwein. Stefan Volkwein 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | Optimality system POD and a-posteriori error analysis for linear-quadratic problems | 4 |
| 11 | 65 | |
| 12 | 36 | |
| 13 | 25 | |
| 14 | 5 | |
| 15 | Model reduction by proper orthogonal decomposition for estimation of scalar parameters in elliptic PDEs | 1 |
| 16 | Model reduction by proper orthogonal decomposition for lambda-omega systems | 2 |
| 17 | 26 | |
| 18 | 6 | |
| 19 | Second-order conditions for boundary control problems of the Burgers equation | 8 |
| 20 | 27 |
About Stefan Volkwein
Stefan Volkwein is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 88 papers that have together received 2.4k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (49 papers), Advanced Numerical Methods in Computational Mathematics (33 papers) and Probabilistic and Robust Engineering Design (28 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.8k citations), Numerical Analysis (619 citations) and Statistics, Probability and Uncertainty (801 citations). Stefan Volkwein has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Karl Kunisch, Fredi Tröltzsch, Michael Hinze, E. W. Sachs, Dietmar Hömberg, Alessandro Alla, Roland Griesse, F. Leibfritz, Andrea Pozzi and Gabriele Ciaramella. Their work appears in journals such as Industrial & Engineering Chemistry Research, SIAM Journal on Numerical Analysis and SIAM Journal on Scientific Computing.
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.