Steven L. Brunton
- Statistical and Nonlinear Physics top 0.01%
- Computational Mechanics top 0.05%
- Control and Systems Engineering top 0.2%
- Aerospace Engineering top 0.2%
- Artificial Intelligence top 0.5%
- Co-authors
- J. Nathan KutzJoshua L. ProctorBingni W. BruntonClarence W. RowleySamuel RudyBernd R. NoackBethany LuschKunihiko Taira
- Topics
- Model Reduction and Neural Networks (113 papers)Fluid Dynamics and Turbulent Flows (50 papers)Probabilistic and Robust Engineering Design (32 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyComputational Mechanics
- Partner nations
- United StatesFranceGermany
In The Last Decade
Steven L. Brunton
207 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Statistical and Nonlinear Physics 8.8k
- Computational Mechanics 5.8k
- Control and Systems Engineering 3.1k
- Aerospace Engineering 2.9k
- Artificial Intelligence 2.5k
Countries citing papers authored by Steven L. Brunton
This map shows the geographic impact of Steven L. Brunton'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 Steven L. Brunton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven L. Brunton more than expected).
Fields of papers citing papers by Steven L. Brunton
This network shows the impact of papers produced by Steven L. Brunton. 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 Steven L. Brunton. The network helps show where Steven L. Brunton may publish in the future.
Co-authorship network of co-authors of Steven L. Brunton
This figure shows the co-authorship network connecting the top 25 collaborators of Steven L. Brunton. A scholar is included among the top collaborators of Steven L. Brunton 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 Steven L. Brunton. Steven L. Brunton 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 | 7 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 0 | |
| 16 | 32 | |
| 17 | 73 | |
| 18 | 27 | |
| 19 | 190 | |
| 20 | 149 |
About Steven L. Brunton
Steven L. Brunton is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 212 papers that have together received 16.9k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (113 papers), Fluid Dynamics and Turbulent Flows (50 papers) and Probabilistic and Robust Engineering Design (32 papers). The work is most often cited by research in Statistical and Nonlinear Physics (8.8k citations), Statistics, Probability and Uncertainty (2.5k citations) and Computational Mechanics (5.8k citations). Steven L. Brunton has collaborated with scholars based in United States, France and Germany. Frequent co-authors include J. Nathan Kutz, Joshua L. Proctor, Bingni W. Brunton, Clarence W. Rowley, Samuel Rudy, Bernd R. Noack, Bethany Lusch, Kunihiko Taira, Scott T. M. Dawson and Ricardo Vinuesa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.