12 citations as recorded by crossref.

1. Global oxygen isoscapes for barnacle shells: Application for tracing movement in oceans R. Pearson et al. https://doi.org/10.1016/j.scitotenv.2019.135782
2. Laboratory verification of the buoyancy dependence of the carrying flow in a Maxey–Riley theory for inertial ocean dynamics P. Miron et al. https://doi.org/10.1063/5.0018272
3. An Investigation into the Location of the Crashed Aircraft Through the Use of Free Satellite Images A. Rasul https://doi.org/10.1007/s41064-019-00074-z
4. The fluid mechanics of poohsticks J. Cartwright & O. Piro https://doi.org/10.1098/rsta.2019.0522
5. Involving citizens in hydrodynamic research: A combined local knowledge - numerical experiment on Lake Garda, Italy M. Amadori et al. https://doi.org/10.1016/j.scitotenv.2020.137720
6. Search strategy in a complex and dynamic environment: the MH370 case S. Ivić et al. https://doi.org/10.1038/s41598-020-76274-0
7. Nonlinear dynamics of inertial particles in the ocean: from drifters and floats to marine debris and Sargassum F. Beron-Vera https://doi.org/10.1007/s11071-020-06053-z
8. Observation and quantification of inertial effects on the drift of floating objects at the ocean surface M. Olascoaga et al. https://doi.org/10.1063/1.5139045
9. Markov-chain-inspired search for MH370 P. Miron et al. https://doi.org/10.1063/1.5092132
10. How Winds and Ocean Currents Influence the Drift of Floating Objects T. Wagner et al. https://doi.org/10.1175/JPO-D-20-0275.1
11. Building a Maxey–Riley framework for surface ocean inertial particle dynamics F. Beron-Vera et al. https://doi.org/10.1063/1.5110731
12. Large model-driven physical neural network architecture: Coupled multi-environmental factors for vessel drift trajectory prediction F. Li et al. https://doi.org/10.1016/j.oceaneng.2025.123560