Sebastian Peitz
- Statistical and Nonlinear Physics top 2%
- Control and Systems Engineering top 5%
- Computational Mechanics top 5%
- Statistics, Probability and Uncertainty top 2%
- Artificial Intelligence top 10%
- Co-authors
- Stefan KlusMichael DellnitzFeliks NüskeCecilia ClementiChristof SchütteFriedrich PhilippKarl WorthmannManuel Schaller
- Topics
- Model Reduction and Neural Networks (19 papers)Advanced Multi-Objective Optimization Algorithms (10 papers)Probabilistic and Robust Engineering Design (9 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyControl and Systems Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAutomaticaPhysica D Nonlinear Phenomena
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Sebastian Peitz
30 papers receiving 622 citations
Peers
Comparison fields: 5 of 67
- Statistical and Nonlinear Physics 375
- Control and Systems Engineering 224
- Computational Mechanics 148
- Statistics, Probability and Uncertainty 132
- Artificial Intelligence 109
Countries citing papers authored by Sebastian Peitz
This map shows the geographic impact of Sebastian Peitz'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 Sebastian Peitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Peitz more than expected).
Fields of papers citing papers by Sebastian Peitz
This network shows the impact of papers produced by Sebastian Peitz. 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 Sebastian Peitz. The network helps show where Sebastian Peitz may publish in the future.
Co-authorship network of co-authors of Sebastian Peitz
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Peitz. A scholar is included among the top collaborators of Sebastian Peitz 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 Sebastian Peitz. Sebastian Peitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 42 | |
| 16 | 12 | |
| 17 | 26 | |
| 18 | 56 | |
| 19 | Multiobjective optimal control methods for the Navier-Stokes equations using reduced order modeling | 14 |
| 20 | 1 |
About Sebastian Peitz
Sebastian Peitz is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 36 papers that have together received 650 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (19 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Probabilistic and Robust Engineering Design (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (375 citations), Statistics, Probability and Uncertainty (132 citations) and Control and Systems Engineering (224 citations). Sebastian Peitz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan Klus, Michael Dellnitz, Feliks Nüske, Cecilia Clementi, Christof Schütte, Friedrich Philipp, Karl Worthmann, Manuel Schaller, Steven L. Brunton and J. Nathan Kutz. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Automatica and Physica D Nonlinear Phenomena.
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.