10 citations as recorded by crossref.

1. Assessing uncertainties in the building of ensemble RCMs over Spain based on dry spell lengths probability density functions J. Giraldo Osorio & S. García Galiano https://doi.org/10.1007/s00382-012-1381-5
2. Assessing Nonstationary Spatial Patterns of Extreme Droughts from Long-Term High-Resolution Observational Dataset on a Semiarid Basin (Spain) S. Garcia Galiano et al. https://doi.org/10.3390/w7105458
3. A Higher Order Ensemble Simulation Algorithm for Fluid Flows N. Jiang https://doi.org/10.1007/s10915-014-9932-z
4. An efficient algorithm for parameterized magnetohydrodynamic flow ensembles simulation M. Mohebujjaman et al. https://doi.org/10.1016/j.camwa.2022.02.014
5. High Order Efficient Algorithm for Computation of MHD Flow Ensembles M. Mohebujjaman https://doi.org/10.4208/aamm.OA-2021-0154
6. An Efficient and Accurate Penalty-projection Eddy Viscosity Algorithm for Stochastic Magnetohydrodynamic Flow Problems M. Mohebujjaman et al. https://doi.org/10.1007/s10915-024-02633-y
7. Identifying a robust method to build RCMs ensemble as climate forcing for hydrological impact models P. Olmos Giménez et al. https://doi.org/10.1016/j.atmosres.2016.01.012
8. Efficient, accurate, and robust penalty-projection algorithm for parameterized stochastic Navier-Stokes flow problems N. Raveendran et al. https://doi.org/10.1016/j.apnum.2026.01.010
9. Projected changes in temperature and precipitation in ten river basins over China in 21st century Q. Sun et al. https://doi.org/10.1002/joc.4043
10. An Efficient Algorithm for Computation of MHD Flow Ensembles M. Mohebujjaman & L. Rebholz https://doi.org/10.1515/cmam-2016-0033