Maximilian Winter
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Aerospace Engineering top 10%
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Co-authors
- Christian BreitsamterWolfgang A. WallG. D. TaylorAndré MassingYa-Fen HsiaoGerhard RempeStephan Dürr
- Topics
- Model Reduction and Neural Networks (9 papers)Computational Fluid Dynamics and Aerodynamics (5 papers)Probabilistic and Robust Engineering Design (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational MechanicsStatistics, Probability and Uncertainty
In The Last Decade
Maximilian Winter
14 papers receiving 298 citations
Peers
Comparison fields: 5 of 42
- Computational Mechanics 177
- Statistical and Nonlinear Physics 128
- Aerospace Engineering 99
- Statistics, Probability and Uncertainty 53
- Artificial Intelligence 37
Countries citing papers authored by Maximilian Winter
This map shows the geographic impact of Maximilian Winter'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 Maximilian Winter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Winter more than expected).
Fields of papers citing papers by Maximilian Winter
This network shows the impact of papers produced by Maximilian Winter. 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 Maximilian Winter. The network helps show where Maximilian Winter may publish in the future.
Co-authorship network of co-authors of Maximilian Winter
This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Winter. A scholar is included among the top collaborators of Maximilian Winter 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 Maximilian Winter. Maximilian Winter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 30 | |
| 3 | 2 | |
| 4 | 23 | |
| 5 | 40 | |
| 6 | 26 | |
| 7 | 37 | |
| 8 | 23 | |
| 9 | Sensitivity Analysis of Unsteady Aerodynamic Reduced-Order Models Robust to Freestream Parameter Variations | 2 |
| 10 | 43 | |
| 11 | Verification of the use of small-disturbance CFD aerodynamics in flutter and gust analysis for simple to highly complex configurations | 4 |
| 12 | Nonlinear Reduced-Order Modeling of Unsteady Aerodynamic Loads based on Dynamic Local Linear Neuro-Fuzzy Models | 1 |
| 13 | Reduced-Order Modeling of Unsteady Aerodynamic Loads using Radial Basis Function Neural Networks | 15 |
| 14 | 24 |
About Maximilian Winter
Maximilian Winter is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 14 papers that have together received 311 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (9 papers), Computational Fluid Dynamics and Aerodynamics (5 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (128 citations), Computational Mechanics (177 citations) and Statistics, Probability and Uncertainty (53 citations). Maximilian Winter has collaborated with scholars based in Germany and Sweden. Frequent co-authors include Christian Breitsamter, Wolfgang A. Wall, G. D. Taylor, André Massing, Ya-Fen Hsiao, Gerhard Rempe and Stephan Dürr. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, AIAA Journal and SIAM Journal on Numerical Analysis.
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.