Maziar S. Hemati

Computational Mechanics · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 117 citations into it; #6,133 of 10,001 by trust here, #4,600 by citations
• Statistical and Nonlinear Physics — 101 citations into it; #3,573 of 10,127 by trust here, #2,708 by citations
• Statistics and Probability — 31 citations into it
• Artificial Intelligence — 20 citations into it
• Control and Systems Engineering — 18 citations into it; #8,081 of 8,257 by trust here, #3,865 by citations
• Numerical Methods & Scientific Computing — 9 citations into it
• Civil and Structural Engineering — 8 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Maziar S. Hemati trusts overall

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

1. Peter J. Schmid
2. Clarence W. Rowley
3. Bernhard Wieneke
4. Matthew O. Williams
5. Steven L. Brunton
6. Igor Mezi'c
7. Gene H. Golub
8. Bernd R. Noack
9. Jonathan H. Tu
10. Joshua L. Proctor

Who trusts Maziar S. Hemati overall

1. Steven L. Brunton
2. Scott T. M. Dawson
3. Eric A. Deem
4. Eurika Kaiser
5. Clarence W. Rowley
6. J. Nathan Kutz
7. Louis N. Cattafesta
8. Kunihiko Taira
9. Joshua L. Proctor
10. Bingni W. Brunton

Papers from Maziar S. Hemati's perspective

Ordered by how strongly the researchers Maziar S. Hemati trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Adaptive separation control of a laminar boundary layer using online dynamic mode decomposition (2020) — 52 citations
• Modal Analysis of Fluid Flows: Applications and Outlook (2019) — 515 citations
• De-biasing the dynamic mode decomposition for applied Koopman spectral analysis of noisy datasets (2015) — 373 citations
• Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition (2014) — 354 citations