Yalchin R. Efendiev

Computational Mechanics · 2000–2018

A researcher in the Science corpus: 9 papers; trusts 11 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 33 citations into it; #1,796 of 10,001 by trust here, #2,252 by citations
• Computational Theory and Mathematics — 31 citations into it; #2,033 of 12,182 by trust here, #2,201 by citations
• Mechanics of Materials — 13 citations into it; #827 of 6,291 by trust here, #1,797 by citations
• Electrical and Electronic Engineering — 9 citations into it

Whom Yalchin R. Efendiev trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Thomas Y. Hou
2. Andrea Toselli
3. Jinchao Xu
4. Philippe G. Ciarlet
5. Maksymilian Dryja
6. Jørg E. Aarnes
7. Juan Galvis
8. Todd Arbogast
9. Ludmil T. Zikatanov
10. Olof B. Widlund

Who trusts Yalchin R. Efendiev overall

1. Thomas Y. Hou
2. Marco Discacciati
3. Sabine Attinger
4. Jinchao Xu
5. Hongwu Zhang
6. Patrick Jenny
7. Alfio Maria Quarteroni
8. Juan Galvis
9. Hong-wu Zhang
10. Xiao-hui Wu

Papers from Yalchin R. Efendiev's perspective

Ordered by how strongly the researchers Yalchin R. Efendiev trusts endorse each paper. Same corpus, a different order for every researcher.

1. The finite element method for elliptic problems (Classics in applied mathematics)
2. Multi-scale finite-volume method for elliptic problems in subsurface flow simulation
3. A mixed multiscale finite element method for elliptic problems with oscillating coefficients (Mathematics of Computation)
4. Unified Analysis of Discontinuous Galerkin Methods for Elliptic Problems (SIAM Journal on Numerical Analysis)
5. Domain decomposition methods : algorithms and theory
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
8. Approximation of Large-Scale Dynamical Systems (Advances in Design and Control)
9. On an energy minimizing basis for algebraic multigrid methods
10. ImageNet classification with deep convolutional neural networks

Their papers

• Convergence of a Nonconforming Multiscale Finite Element Method (2000) — 324 citations
• Analysis of upscaling absolute permeability (2002) — 293 citations
• Deep Multiscale Model Learning (2018) — 84 citations
• Multiscale Finite Element Methods for Nonlinear Problems and Their Applications (2004) — 215 citations
• Domain Decomposition Preconditioners for Multiscale Flows in High Contrast Media: Reduced Dimension Coarse Spaces (2010) — 320 citations
• Generalized multiscale finite element methods (GMsFEM) (2013) — 711 citations
• Multiscale finite element methods for stochastic porous media flow equations and application to uncertainty quantification (2008) — 54 citations
• Spectral Element Agglomerate Algebraic Multigrid Methods for Elliptic Problems with High-Contrast Coefficients (2011) — 52 citations
• Multiscale Finite Element Methods: Theory and Applications (2009) — 626 citations