16 citations · 40 across the 5 of their papers we have counts for
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physics.flu-dyn2021★ 13 cited
Load estimation in unsteady flows from sparse pressure measurements: Application of transition networks to experimental data
Giovanni Iacobello, Frieder Kaiser, David E. Rival
Inspired by biological swimming and flying with distributed sensing, we propose a data-driven approach for load estimation that relies on complex networks. We exploit sparse, real-…
physics.flu-dyn2021★ 1 cited
A Voronoi-tessellation-based approach for detection of coherent structures in sparsely-seeded flows
F. A. C. Martins, D. E. Rival
A novel algorithm to detect coherent structures with sparse Lagrangian particle tracking data, using Voronoi tessellation and techniques from spectral graph theory, is tested. Neig…