Omar Ghattas

2.4k total citations · 1 hit paper
38 papers, 1.5k citations indexed

About

Omar Ghattas is a scholar working on Geophysics, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Omar Ghattas has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Geophysics, 10 papers in Artificial Intelligence and 10 papers in Computational Theory and Mathematics. Recurrent topics in Omar Ghattas's work include Seismic Imaging and Inversion Techniques (11 papers), Probabilistic and Robust Engineering Design (9 papers) and Gaussian Processes and Bayesian Inference (8 papers). Omar Ghattas is often cited by papers focused on Seismic Imaging and Inversion Techniques (11 papers), Probabilistic and Robust Engineering Design (9 papers) and Gaussian Processes and Bayesian Inference (8 papers). Omar Ghattas collaborates with scholars based in United States, Germany and Australia. Omar Ghattas's co-authors include Carsten Burstedde, Lucas C. Wilcox, George Biros, Georg Stadler, Noémi Petra, Tan Bui–Thanh, Peng Chen, Jacobo Bielak, Tobin Isaac and Volkan Akçelik and has published in prestigious journals such as Nature Communications, Water Resources Research and Journal of Computational Physics.

In The Last Decade

Omar Ghattas

37 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

p4est: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees

2011 443 citations Carsten Burstedde, Lucas C. Wilcox et al. SIAM Journal on Scientific Computing profile →

Peers

Countries citing papers authored by Omar Ghattas

Since Specialization

Citations

This map shows the geographic impact of Omar Ghattas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Omar Ghattas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar Ghattas more than expected).

Fields of papers citing papers by Omar Ghattas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omar Ghattas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Omar Ghattas. The network helps show where Omar Ghattas may publish in the future.

Co-authorship network of co-authors of Omar Ghattas

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Ghattas. A scholar is included among the top collaborators of Omar Ghattas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Omar Ghattas. Omar Ghattas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Covariance operator estimation via adaptive thresholding 2025 ·Stochastic Processes and their Applications ·Omar Ghattas, Daniel Sanz-Alonso	0
2	An Offline-Online Decomposition Method for Efficient Linear Bayesian Goal-Oriented Optimal Experimental Design: Application to Optimal Sensor Placement 2023 ·SIAM Journal on Scientific Computing ·(unknown), Peng Chen, Omar Ghattas	8
3	A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design 2023 ·SIAM/ASA Journal on Uncertainty Quantification ·(unknown), Peng Chen, Omar Ghattas	17
4	Nonuniform 3D finite-difference elastic wave simulation on staggered grids 2022 ·Geophysics ·(unknown), Omar Ghattas, David E. Keyes	2
5	The imperative of physics-based modeling and inverse theory in computational science 2021 ·Nature Computational Science ·Karen Willcox, Omar Ghattas, Patrick Heimbach	76
6	Taylor Approximation for Chance Constrained Optimization Problems Governed by Partial Differential Equations with High-Dimensional Random Parameters 2021 ·SIAM/ASA Journal on Uncertainty Quantification ·Peng Chen, Omar Ghattas	15
7	Optimal design of acoustic metamaterial cloaks under uncertainty 2021 ·Journal of Computational Physics ·Peng Chen, Michael R. Haberman, Omar Ghattas	42
8	Bayesian Poroelastic Aquifer Characterization From InSAR Surface Deformation Data. Part I: Maximum A Posteriori Estimate 2020 ·Water Resources Research ·(unknown), Marc A. Hesse, Jingyi Chen, Omar Ghattas	22
9	Disentangled behavioural representations 2019 ·MPG.PuRe (Max Planck Society) ·Amir Dezfouli, (unknown), Omar Ghattas, Richard Nock, Peter Dayan, Cheng Soon Ong	10
10	A-optimal encoding weights for nonlinear inverse problems, with application to the Helmholtz inverse problem 2017 ·Inverse Problems ·(unknown), Alen Alexanderian, Georg Stadler, Omar Ghattas	19
11	Weighted BFBT Preconditioner for Stokes Flow Problems with Highly Heterogeneous Viscosity 2017 ·SIAM Journal on Scientific Computing ·Johann Rudi, Georg Stadler, Omar Ghattas	19
12	Possible groundwater dominance in the subglacial hydrology of ice sheet interiors: example at Dome C, East Antarctica 2016 ·(unknown), Sasha P. Carter, Omar Ghattas, D. A. Young, Donald D. Blankenship	1
13	`p4est`: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees breakdown → 2011 ·SIAM Journal on Scientific Computing ·Carsten Burstedde, Lucas C. Wilcox, Omar Ghattas	443
14	Parallel scalable adjoint-based adaptive solution of variable-viscosity Stokes flow problems 2009 ·Computer Methods in Applied Mechanics and Engineering ·Carsten Burstedde, Omar Ghattas, Georg Stadler, Tiankai Tu, Lucas C. Wilcox	57
15	Real-Time PDE-Constrained Optimization (Computational Science and Engineering) 2007 ·Society for Industrial and Applied Mathematics eBooks ·Lorenz T. Biegler, Omar Ghattas, Matthias Heinkenschloss, David E. Keyes, Bart van Bloemen Waanders	9
16	Parallel Octree-Based Finite Element Method for Large-Scale Earthquake Ground Motion Simulation 2005 ·Computer Modeling in Engineering & Sciences ·Jacobo Bielak, Omar Ghattas, (unknown)	83
17	Parallel Multiscale Gauss-Newton-Krylov Methods for Inverse Wave Propagation 2002 ·Conference on High Performance Computing (Supercomputing) ·Volkan Akçelik, George Biros, Omar Ghattas	86
18	A PARALLEL DYNAMIC-MESH LAGRANGIAN METHOD FOR SIMULATION OF FLOWS WITH DYNAMIC INTERFACES 2000 ·Conference on High Performance Computing (Supercomputing) ·(unknown), Guy E. Blelloch, Omar Ghattas, (unknown), Gary L. Miller, Noel J. Walkington	16
19	A PARALLEL DYNAMIC-MESH LAGRANGIAN METHOD FOR SIMULATION OF FLOWS WITH DYNAMIC INTERFACES 2000 ·(unknown), Guy E. Blelloch, Omar Ghattas, (unknown), Gary L. Miller, Noel J. Walkington	9
20	MINLP and MILP strategies for discrete sizing structural optimization problems 1991 ·Omar Ghattas, Ignacio E. Grossmann	15

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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