Omar Ghattas
Statistics and Probability · 2001–2016
A researcher in the Science corpus: 13 papers; trusts 43 researchers and is trusted by 47 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 36 citations into it; #2,252 of 12,932 by trust here, #2,693 by citations
- Geophysics — 29 citations into it; #1,234 of 1,958 by trust here, #589 by citations
- Statistical and Nonlinear Physics — 23 citations into it; #1,438 of 10,127 by trust here, #2,928 by citations
- Artificial Intelligence — 20 citations into it; #30,203 of 35,345 by trust here, #22,463 by citations
- Computational Mechanics — 20 citations into it
- Computational Theory and Mathematics — 17 citations into it; #1,107 of 12,182 by trust here, #2,419 by citations
- Applied Mathematics — 10 citations into it
- Electrical and Electronic Engineering — 9 citations into it
Whom Omar Ghattas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Håvard Rue
- Karen Veroy
- Albert Tarantola
- Y. Saad
- Martin A. Grepl
- Andrew M. Stuart
- Gene H. Golub
- Anthony T. Patera
- Michael Hinze
- Mark A. Girolami
Who trusts Omar Ghattas overall
- Saifon Chaturantabut
- Joaquim R. Martins
- Roland Herzog
- Andreas Fichtner
- A. Gholami
- Roscoe A. Bartlett
- Karen E. Willcox
- Ioannis Epanomeritakis
- Masoumeh Dashti
- Youssef M. Marzouk
Papers from Omar Ghattas's perspective
Ordered by how strongly the researchers Omar Ghattas trusts endorse each paper. Same corpus, a different order for every researcher.
- Gaussian Markov Random Fields: Theory and Applications
- Monte Carlo Statistical Methods
- Riemann manifold Langevin and Hamiltonian Monte Carlo methods
- An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
- A subspace approach to balanced truncation for model reduction of nonlinear control systems
- Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds
- Optimal scaling for various Metropolis-Hastings algorithms
- Using Bayesian statistics in the estimation of heat source in radiation
- Statistical and Computational Inverse Problems (Technometrics)
- Stochastic spectral methods for efficient Bayesian solution of inverse problems (Journal of Computational Physics)
Their papers
- Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space (2008) — 418 citations
- On Bayesian A- and D-optimal experimental designs in infinite dimensions (2014) — 92 citations
- A Stochastic Newton MCMC Method for Large-Scale Statistical Inverse Problems with Application to Seismic Inversion (2012) — 469 citations
- Parallel Lagrange-Newton-Krylov-Schur Methods for PDE-Constrained Optimization. Part I: The Krylov-Schur Solver (2005) — 300 citations
- Hessian‐based model reduction for large‐scale systems with initial‐condition inputs (2008) — 62 citations
- A Bayesian approach to estimate uncertainty for full-waveform inversion using a priori information from depth migration (2016) — 100 citations
- A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion (2013) — 439 citations
- p4est: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees (2011) — 795 citations
- Algorithmic strategies for full waveform inversion: 1D experiments (2009) — 72 citations
- A Newton-CG method for large-scale three-dimensional elastic full-waveform seismic inversion (2008) — 227 citations
- Parallel Octree-Based Finite Element Method for Large-Scale Earthquake Ground Motion Simulation (2005) — 133 citations
- A variational finite element method for source inversion for convective-diffusive transport (2003) — 74 citations
- Nearly orthogonal two-dimensional grid generation with aspect ratio control (2001) — 55 citations