A three-dimensional model for the study of the cooling system of submersible electric pumps. - Nadaniela Egidi; Pierluigi Maponi; Luciano Misici; Samuele Rubino (Math. Comput. Simul., 2012)

Numerical approximation of the Smagorinsky turbulence model applied to the primitive equations of the ocean. - Tomás Chacón Rebollo; Frédéric Hecht; Macarena Gómez Mármol; Giordano Orzetti; Samuele Rubino (Math. Comput. Simul., 2014)

A High-Order Local Projection Stabilization Method for Natural Convection Problems. - Tomás Chacón Rebollo; Macarena Gómez Mármol; Frédéric Hecht; Samuele Rubino; Isabel Sánchez Muñoz (J. Sci. Comput., 2018)

An efficient time-splitting approximation of the Navier-Stokes equations with LPS modeling. - Samuele Rubino (Appl. Math. Comput., 2019)

Error analysis of proper orthogonal decomposition data assimilation schemes for the Navier-Stokes equations. - Bosco García-Archilla; Julia Novo; Samuele Rubino (CoRR, 2020)

Numerical Analysis of a Projection-Based Stabilized POD-ROM for Incompressible Flows. - Samuele Rubino (SIAM J. Numer. Anal., 2020)

A cure for instabilities due to advection-dominance in POD solution to advection-diffusion-reaction equations. - Mejdi Azaïez; Tomás Chacón Rebollo; Samuele Rubino (J. Comput. Phys., 2021)

On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition. - Birgul Koc; Samuele Rubino; Michael Schneier; John R. Singler; Traian Iliescu (SIAM J. Numer. Anal., 2021)

Error Analysis of Proper Orthogonal Decomposition Stabilized Methods for Incompressible Flows. - Julia Novo; Samuele Rubino (SIAM J. Numer. Anal., 2021)

On the influence of the nonlinear term in the numerical approximation of Incompressible Flows by means of proper orthogonal decomposition methods. - Bosco García-Archilla; Julia Novo; Samuele Rubino (CoRR, 2022)

Error analysis of a residual-based stabilization-motivated POD-ROM for incompressible flows. - Tomás Chacón Rebollo; Samuele Rubino; Mourad Oulghelou; Cyrille Allery (CoRR, 2022)

Error analysis of proper orthogonal decomposition data assimilation schemes with grad-div stabilization for the Navier-Stokes equations. - Bosco García-Archilla; Julia Novo; Samuele Rubino (J. Comput. Appl. Math., 2022)

Uniform Bounds with Difference Quotients for Proper Orthogonal Decomposition Reduced Order Models of the Burgers Equation. - Birgul Koc; Tomás Chacón Rebollo; Samuele Rubino (J. Sci. Comput., 2023)

Reduced-Order Time Splitting for Navier-Stokes with Open Boundaries. - Mejdi Azaïez; Tomás Chacón Rebollo; C. Núñez Fernández; Samuele Rubino (CoRR, 2025)

A POD-Based Reduced Order Method Applied to Goda Time-Splitting Scheme. - Mejdi Azaïez; T. Chacón Rebollo; C. Núñez Fernández; Samuele Rubino (J. Sci. Comput., 2025)

Residual-based data-driven variational multiscale reduced order models for parameter-dependent problems. - Birgul Koc; Samuele Rubino; Tomás Chacón Rebollo; Traian Iliescu (Comput. Appl. Math., 2025)

Well-balanced POD-based reduced-order models for finite volume approximation of hyperbolic balance laws. - Irene Gómez-Bueno; E. D. Fernández-Nieto; Samuele Rubino (J. Comput. Appl. Math., 2026)