Eurika Kaiser
- Statistical and Nonlinear Physics top 1%
- Computational Mechanics top 5%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Steven L. BruntonJ. Nathan KutzBingni W. BruntonJoshua L. ProctorMarko BudišićBernd R. NoackSiniša KrajnovićHui Li
- Topics
- Model Reduction and Neural Networks (10 papers)Fluid Dynamics and Turbulent Flows (7 papers)Wind and Air Flow Studies (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyComputational Mechanics
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of Fluid Mechanics
- Partner nations
- United StatesFranceGermany
In The Last Decade
Eurika Kaiser
24 papers receiving 887 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Statistical and Nonlinear Physics 529
- Computational Mechanics 355
- Aerospace Engineering 177
- Control and Systems Engineering 170
- Artificial Intelligence 139
Countries citing papers authored by Eurika Kaiser
This map shows the geographic impact of Eurika Kaiser'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 Eurika Kaiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eurika Kaiser more than expected).
Fields of papers citing papers by Eurika Kaiser
This network shows the impact of papers produced by Eurika Kaiser. 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 Eurika Kaiser. The network helps show where Eurika Kaiser may publish in the future.
Co-authorship network of co-authors of Eurika Kaiser
This figure shows the co-authorship network connecting the top 25 collaborators of Eurika Kaiser. A scholar is included among the top collaborators of Eurika Kaiser 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 Eurika Kaiser. Eurika Kaiser 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 | 7 | |
| 3 | Modern Koopman Theory for Dynamical Systemsbreakdown → | 257 |
| 4 | 43 | |
| 5 | 5 | |
| 6 | De-entanglement of complex flows with time delay coordinates | 1 |
| 7 | 3 | |
| 8 | 21 | |
| 9 | 51 | |
| 10 | 2 | |
| 11 | 52 | |
| 12 | Koopman operator theory: Past, present, and future | 2 |
| 13 | Chaos as an intermittently forced linear systembreakdown → | 343 |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 16 | |
| 17 | 43 | |
| 18 | 8 | |
| 19 | 24 | |
| 20 | 1 |
About Eurika Kaiser
Eurika Kaiser is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 912 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (10 papers), Fluid Dynamics and Turbulent Flows (7 papers) and Wind and Air Flow Studies (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (529 citations), Statistics, Probability and Uncertainty (128 citations) and Computational Mechanics (355 citations). Eurika Kaiser has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Steven L. Brunton, J. Nathan Kutz, Bingni W. Brunton, Joshua L. Proctor, Marko Budišić, Bernd R. Noack, Siniša Krajnović, Hui Li, Urban Fasel and Shanwu Li. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.
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.