Stefan Ulbrich
- Numerical Analysis top 1%
- Computational Mechanics top 2%
- Computational Theory and Mathematics top 1%
- Control and Systems Engineering top 5%
- Applied Mathematics top 5%
- Co-authors
- Michael UlbrichL. N. VicenteMatthias HeinkenschlossMichael B. GilesTamim AsfourRüdiger DillmannMarc E. PfetschMartin Gugat
- Topics
- Computational Fluid Dynamics and Aerodynamics (16 papers)Advanced Optimization Algorithms Research (13 papers)Advanced Numerical Methods in Computational Mathematics (12 papers)
- Journals
- Applied EnergyEnergy Conversion and ManagementIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Stefan Ulbrich
89 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Numerical Analysis 488
- Computational Mechanics 469
- Computational Theory and Mathematics 459
- Control and Systems Engineering 372
- Applied Mathematics 117
Countries citing papers authored by Stefan Ulbrich
This map shows the geographic impact of Stefan Ulbrich'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 Ulbrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Ulbrich more than expected).
Fields of papers citing papers by Stefan Ulbrich
This network shows the impact of papers produced by Stefan Ulbrich. 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 Ulbrich. The network helps show where Stefan Ulbrich may publish in the future.
Co-authorship network of co-authors of Stefan Ulbrich
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Ulbrich. A scholar is included among the top collaborators of Stefan Ulbrich 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 Ulbrich. Stefan Ulbrich 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 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | On the numerical discretization of optimal control problemsfor conservation laws | 1 |
| 11 | 12 | |
| 12 | 21 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | Topology- and shape-optimization of branched sheet metal products | 3 |
| 18 | Globally Convergent Primal-Dual Interior-Point Filter Method for Nonlinear Programming | 1 |
| 19 | 52 | |
| 20 | Recht im Film. | 1 |
About Stefan Ulbrich
Stefan Ulbrich is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics, having authored 96 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (16 papers), Advanced Optimization Algorithms Research (13 papers) and Advanced Numerical Methods in Computational Mathematics (12 papers). The work is most often cited by research in Numerical Analysis (488 citations), Computational Theory and Mathematics (459 citations) and Computational Mechanics (469 citations). Stefan Ulbrich has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Michael Ulbrich, L. N. Vicente, Matthias Heinkenschloss, Michael B. Giles, Tamim Asfour, Rüdiger Dillmann, Marc E. Pfetsch, Martin Gugat, Nikolaus Vahrenkamp and S. Scott Collis. Their work appears in journals such as Applied Energy, Energy Conversion and Management and IEEE Transactions on Neural Networks and Learning Systems.
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.