Jonathan H. Tu

Computational Mechanics · 2012–2016

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 77 citations into it; #2,197 of 10,001 by trust here, #3,029 by citations
• Statistical and Nonlinear Physics — 35 citations into it; #596 of 10,127 by trust here, #759 by citations
• Aerospace Engineering — 22 citations into it
• Applied Mathematics — 8 citations into it
• Statistics and Probability — 7 citations into it
• Environmental Engineering — 6 citations into it
• Numerical Methods & Scientific Computing — 6 citations into it
• Artificial Intelligence — 5 citations into it; #8,705 of 35,345 by trust here, #10,798 by citations

Whom Jonathan H. Tu trusts overall

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

1. Peter J. Schmid
2. Bernd R. Noack
3. Clarence W. Rowley
4. Igor Mezi'c
5. Shervin Bagheri
6. Kunihiko Taira
7. Tim Colonius
8. P. Ecole
9. E.J. Candes
10. Kevin K. Chen

Who trusts Jonathan H. Tu overall

1. Steven L. Brunton
2. J. Nathan Kutz
3. Joshua L. Proctor
4. Bingni W. Brunton
5. Igor Mezi'c
6. Hao Wu
7. Clarence W. Rowley
8. Stefan Klus
9. Maziar S. Hemati
10. Hassan Arbabi

Papers from Jonathan H. Tu's perspective

Ordered by how strongly the researchers Jonathan H. Tu 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. Spectral analysis of nonlinear flows
3. Koopman-mode decomposition of the cylinder wake (Journal of Fluid Mechanics)
4. Turbulence, Coherent Structures, Dynamical Systems and Symmetry
5. Model Reduction for fluids, Using Balanced Proper Orthogonal Decomposition (International Journal of Bifurcation and Chaos in Applied Sciences and Engineering)
6. Dynamic mode decomposition of numerical and experimental data
7. Direct numerical simulation of impinging shock wave/turbulent boundary layer interaction at M=2.25
8. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
9. Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses (Journal of nonlinear science)
10. Space and time organization in a shock-induced separated boundary layer (Journal of Fluid Mechanics)

Their papers

• Low-frequency dynamics in a shock-induced separated flow (2016) — 170 citations
• Compressive Sensing and Low-Rank Libraries for Classification of Bifurcation Regimes in Nonlinear Dynamical Systems (2013) — 125 citations
• On dynamic mode decomposition: Theory and applications (2013) — 2,000 citations
• Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses (2012) — 748 citations