Elías Cueto
Computational Mechanics · 2000–2014
A researcher in the Science corpus: 11 papers; trusts 14 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 27 citations into it; #8,667 of 10,001 by trust here, #4,600 by citations
- Mechanics of Materials — 22 citations into it; #5,817 of 6,291 by trust here, #3,454 by citations
- Statistics and Probability — 22 citations into it; #6,373 of 12,932 by trust here, #5,294 by citations
- Statistical and Nonlinear Physics — 19 citations into it; #4,029 of 10,127 by trust here, #3,616 by citations
- Computational Theory and Mathematics — 13 citations into it
- Artificial Intelligence — 7 citations into it
- Numerical Analysis — 7 citations into it; #2,063 of 3,586 by trust here, #1,659 by citations
- Computational Mathematics — 6 citations into it
Whom Elías Cueto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Amine Ammar
- Francisco Chinesta
- Anthony Nouy
- B. Mokdad
- Gregory Beylkin
- Ron Kimmel
- Natarajan Sukumar
- Petr Krysl
- Jernej Barbic
Who trusts Elías Cueto overall
- Francisco Chinesta
- Michael A. Puso
- Natarajan Sukumar
- Amine Ammar
- Jiun-Shyan Chen
- Benjamin Peherstorfer
Papers from Elías Cueto's perspective
Ordered by how strongly the researchers Elías Cueto trusts endorse each paper. Same corpus, a different order for every researcher.
- A Multilinear Singular Value Decomposition
- Algorithms for Numerical Analysis in High Dimensions
- A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids
- Tensor Decompositions and Applications
- Dimensional model reduction in non‐linear finite element dynamics of solids and structures
- An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
- On the verification of model reduction methods based on the proper generalized decomposition
- Proper Generalized Decompositions and Separated Representations for the Numerical Solution of High Dimensional Stochastic Problems
- Reduced-order modeling of time-dependent PDEs with multiple parameters in the boundary data
- A priori model reduction through Proper Generalized Decomposition for solving time-dependent partial differential equations
Their papers
- Recent Advances and New Challenges in the Use of the Proper Generalized Decomposition for Solving Multidimensional Models (2010) — 410 citations
- PGD-Based Computational Vademecum for Efficient Design, Optimization and Control (2013) — 312 citations
- Model order reduction for hyperelastic materials (2010) — 77 citations
- Parametric solutions involving geometry: A step towards efficient shape optimization (2014) — 89 citations
- Non incremental strategies based on separated representations: applications in computational rheology (2010) — 76 citations
- Meshless methods with application to metal forming (2006) — 51 citations
- On thea priori model reduction: Overview and recent developments (2006) — 48 citations
- On the employ of meshless methods in biomechanics (2005) — 69 citations
- Numerical integration in Natural Neighbour Galerkin methods (2004) — 61 citations
- Modelling three‐dimensional piece‐wise homogeneous domains using the α‐shape‐based natural element method (2002) — 52 citations
- Imposing essential boundary conditions in the natural element method by means of density-scaled?-shapes (2000) — 105 citations