Steven L. Brunton

28.8k citations

212 papers · 16.9k indexed · 19 hit papers · h-index 53

Statistical and Nonlinear Physics top 0.01%
- Model Reduction and Neural Networks 113
Statistics, Probability and Uncertainty top 0.02%
- Probabilistic and Robust Engineering Design 32
Computational Mechanics top 0.05%
- Fluid Dynamics and Turbulent Flows 50
- Fluid Dynamics and Vibration Analysis 28
Control and Systems Engineering top 0.2%
- Control Systems and Identification 12
- Fault Detection and Control Systems 9
Aerospace Engineering top 0.2%
- Biomimetic flight and propulsion mechanisms 11
Atomic and Molecular Physics, and Optics
- Advanced Fiber Laser Technologies 10

Co-authors: J. Nathan Kutz Joshua L. Proctor Bingni W. Brunton Clarence W. Rowley Samuel Rudy Bernd R. Noack Bethany Lusch Kunihiko Taira
Cited by: Statistical and Nonlinear Physics Statistics, Probability and Uncertainty Computational Mechanics
Partner nations: United States France Germany

In The Last Decade

Steven L. Brunton

207 papers receiving 16.4k citations

Hit Papers

15 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2023 Physics-informed dynamic mode decomposition
2022 Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control
2022 PySINDy: A comprehensive Python package for robust sparse system identification
2022 Enhancing computational fluid dynamics with machine learning
2022 Modern Koopman Theory for Dynamical Systems
2022 Data-Driven Science and Engineering
2019 Data-Driven Science and Engineering
2019 Modal Analysis of Fluid Flows: Applications and Outlook
2018 Generalizing Koopman Theory to Allow for Inputs and Control.
2018 Deep learning for universal linear embeddings of nonlinear dynamics
2017 Modal Analysis of Fluid Flows: An Overview
2017 Data-driven discovery of partial differential equations
2017 Chaos as an intermittently forced linear system
2016 Dynamic Mode Decomposition with Control
2016 Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems
2016 Dynamic Mode Decomposition
2016 Discovering governing equations from data by sparse identification of nonlinear dynamical systems
2016 Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control
2015 Closed-Loop Turbulence Control: Progress and Challenges

Peers

Countries citing papers authored by Steven L. Brunton

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Steven L. Brunton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven L. Brunton Line = papers co-authored together Steven L. Brunton links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Computed Tomography Using Meta-Optics Maksym Zhelyeznyakov,Johannes E. Fröch,Shane Colburn,Steven L. Brunton,Arka Majumdar	2025	1
2	An experimental evaluation of the interplay between geometry and scale on cross-flow turbine performance Aidan Hunt,Benjamin Strom,Gregory Talpey,Hannah Ross,Isabel Scherl,Steven L. Brunton,Martin Wosnik,Brian Polagye	2024	7
3	Nonlinear parametric models of viscoelastic fluid flows Cássio M. Oishi,Alan A. Kaptanoglu,J. Nathan Kutz,Steven L. Brunton	2024	3
4	Multi-hierarchical surrogate learning for explicit structural dynamical systems using graph convolutional neural networks Jonas Kneifl,Jörg Fehr,Steven L. Brunton,J. Nathan Kutz	2024	0
5	Quantitative phase imaging endoscopy with a metalens Aamod Shanker,Johannes E. Fröch,Saswata Mukherjee,Maksym Zhelyeznyakov,Steven L. Brunton,Eric J. Seibel,Arka Majumdar	2024	12
6	Distributed control of partial differential equations using convolutional reinforcement learning Sebastian Peitz,Jan Stenner,Vikas Chidananda,Oliver Wallscheid,Steven L. Brunton,Kunihiko Taira	2024	13
7	Single-Pixel Imaging of Spatio-Temporal Flows Using Differentiable Latent Dynamics Aleksei Sholokhov,Saleh Nabi,Joshua Rapp,Steven L. Brunton,J. Nathan Kutz,Petros T. Boufounos,Hassan Mansour	2024	1
8	PyKoopman: A Python Package for Data-DrivenApproximation of the Koopman Operator Shaowu Pan,Eurika Kaiser,Brian M. de Silva,J. Nathan Kutz,Steven L. Brunton	2024	7
9	Multi-fidelity reduced-order surrogate modelling Paolo Conti,Mengwu Guo,Andrea Manzoni,Attilio Frangi,Steven L. Brunton,J. Nathan Kutz	2024	17
10	Leveraging statistical-spectral correlations of random metasurfaces for steganography and multi-wavelength cryptography Romil Audhkhasi,Maksym Zhelyeznyakov,Steven L. Brunton,Arka Majumdar	2024	1
11	Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala,Steven L. Brunton,Bertrand Chapron,Ananda Pascual,Fabrice Collard,Lucile Gaultier,Ronan Fablet	2023	7
12	Sparse regression for plasma physics Alan A. Kaptanoglu,C. Hansen,J. Lore,Matt Landreman,Steven L. Brunton	2023	17
13	Partially Coherent Double-Phase Holography in Visible Wavelength Using Meta-Optics Saswata Mukherjee,Quentin A. A. Tanguy,Johannes E. Fröch,Aamod Shanker,K. F. Böhringer,Steven L. Brunton,Arka Majumdar	2023	3
14	Time-dependent SOLPS-ITER simulations of the tokamak plasma boundary for model predictive control using SINDy ^* J. Lore,S. De Pascuale,Paul Laiu,Benjamin P. Russo,Jae-Sun Park,J.M. Park,Steven L. Brunton,J. Nathan Kutz,Alan A. Kaptanoglu	2023	14
15	Author Correction: Large area optimization of meta-lens via data-free machine learning Maksym Zhelyeznyakov,Johannes E. Fröch,Anna Wirth-Singh,Jaebum Noh,Junsuk Rho,Steven L. Brunton,Arka Majumdar	2023	0
16	Large area optimization of meta-lens via data-free machine learning Maksym Zhelyeznyakov,Johannes E. Fröch,Anna Wirth-Singh,Jaebum Noh,Junsuk Rho,Steven L. Brunton,Arka Majumdar	2023	32
17	Deep Learning to Accelerate Scatterer-to-Field Mapping for Inverse Design of Dielectric Metasurfaces Maksym Zhelyeznyakov,Steven L. Brunton,Arka Majumdar	2021	73
18	Data-driven nonlinear aeroelastic models of morphing wings for control Nicola Fonzi,Steven L. Brunton,Urban Fasel	2020	27
19	Data-driven identification of parametric partial differential equations Samuel Rudy,Alessandro Alla,Steven L. Brunton,J. Nathan Kutz	2019	190
20	Data-driven science and engineering : machine learning, dynamical systems, and control Steven L. Brunton,J. Nathan Kutz	2019	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), Probabilistic and Robust Engineering Design (32 papers), Fluid Dynamics and Vibration Analysis (28 papers), Control Systems and Identification (12 papers), Biomimetic flight and propulsion mechanisms (11 papers), Advanced Fiber Laser Technologies (10 papers) and Fault Detection and Control Systems (9 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.

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