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Laura Saavedra

About Laura Saavedra

Laura Saavedra, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Universidad Politécnica de Madrid, specializes in the field of Combustion modeling, Numerical analysis, Lagrange-Galerkin methods, Turbulence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Greedy invariant-domain preserving approximation for hyperbolic systems

Second-order invariant domain preserving ALE approximation of Euler equations

New error estimates of Lagrange–Galerkin methods for the advection equation

A staggered semi-implicit hybrid FV/FE projection method for weakly compressible flows

Laura Saavedra Information

University

Position

Associate Professor in Applied Mathematics ETSIAE- - School of Aeronautics

Citations(all)

382

Citations(since 2020)

226

Cited By

245

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Laura Saavedra Skills & Research Interests

Combustion modeling

Numerical analysis

Lagrange-Galerkin methods

Turbulence

Top articles of Laura Saavedra

Greedy invariant-domain preserving approximation for hyperbolic systems

arXiv preprint arXiv:2310.01713

2023/10/3

Laura Saavedra
Laura Saavedra

H-Index: 8

Second-order invariant domain preserving ALE approximation of Euler equations

Communications on Applied Mathematics and Computation

2023/6

Laura Saavedra
Laura Saavedra

H-Index: 8

New error estimates of Lagrange–Galerkin methods for the advection equation

Calcolo

2023/3

Laura Saavedra
Laura Saavedra

H-Index: 8

A staggered semi-implicit hybrid FV/FE projection method for weakly compressible flows

Journal of Computational Physics

2020/11/15

Laura Saavedra
Laura Saavedra

H-Index: 8

See List of Professors in Laura Saavedra University(Universidad Politécnica de Madrid)

Co-Authors

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