Scott T. M. Dawson

Computational Mechanics · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 173 citations into it; #2,483 of 10,001 by trust here, #4,315 by citations
• Statistical and Nonlinear Physics — 144 citations into it; #1,949 of 10,127 by trust here, #2,578 by citations
• Statistics and Probability — 43 citations into it
• Aerospace Engineering — 36 citations into it
• Artificial Intelligence — 24 citations into it
• Control and Systems Engineering — 21 citations into it; #8,080 of 8,257 by trust here, #3,865 by citations
• Environmental Engineering — 20 citations into it
• Numerical Methods & Scientific Computing — 15 citations into it

Whom Scott T. M. Dawson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter J. Schmid
2. Clarence W. Rowley
3. Shervin Bagheri
4. Kunihiko Taira
5. Tim Colonius
6. Bernd R. Noack
7. M. Jovanovi'c
8. Jonathan H. Tu
9. Steven L. Brunton
10. Athanasios C. Antoulas

Who trusts Scott T. M. Dawson overall

1. Steven L. Brunton
2. Javier Jiménez
3. Kunihiko Taira
4. M. A. Mendez
5. Aaron Towne
6. Maziar S. Hemati
7. Eric A. Deem
8. Jean-Christophe Loiseau
9. Clarence W. Rowley
10. Jeremy Morton

Papers from Scott T. M. Dawson's perspective

Ordered by how strongly the researchers Scott T. M. Dawson trusts endorse each paper. Same corpus, a different order for every researcher.

1. A hierarchy of low-dimensional models for the transient and post-transient cylinder wake
2. Koopman-mode decomposition of the cylinder wake (Journal of Fluid Mechanics)
3. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
4. On dynamic mode decomposition: Theory and applications
5. Dynamic mode decomposition of numerical and experimental data
6. Dynamic Mode Decomposition with Control (SIAM Journal on Applied Dynamical Systems)
7. The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows
8. Sparsity-promoting dynamic mode decomposition
9. Turbulence, Coherent Structures, Dynamical Systems and Symmetry
10. Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses (Journal of nonlinear science)

Their papers

• Modal Analysis of Fluid Flows: Applications and Outlook (2019) — 515 citations
• Model Reduction for Flow Analysis and Control (2017) — 776 citations
• Modal Analysis of Fluid Flows: An Overview (2017) — 1,507 citations
• Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition (2014) — 354 citations