Omar Ghattas

2.4k citations
38 papers · 1.5k indexed · 1 hit paper · h-index 20
Topics
Seismic Imaging and Inversion Techniques (11 papers)Probabilistic and Robust Engineering Design (9 papers)Gaussian Processes and Bayesian Inference (8 papers)

In The Last Decade

Omar Ghattas

37 papers receiving 1.4k citations

Hit Papers

p4est: Scalable Algorithms for Parallel Adaptive Mesh Ref...20112026201620212011100200300400

Peers

Omar Ghattas
Comparison fields: 5 of 101
  • Computational Mechanics 461
  • Geophysics 321
  • Computational Theory and Mathematics 197
  • Statistics, Probability and Uncertainty 191
  • Artificial Intelligence 185
Replace Carsten Burstedde with:
Carsten Burstedde United States
David Pardo Spain
K. Morgan United Kingdom
Patrick Amestoy France
Robert M. Kirby United States
Garry N. Newsam Australia
K. Šalkauskas Canada
Jacko Koster United Kingdom
Alexander Vladimirsky United States
Roscoe Bartlett United States
Omar Ghattas relative to Carsten Burstedde United States Carsten Burstedde's profile →
Citations per field
00.5×1.5×2.1×
Carsten Burstedde · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 17
4 2
5 76
6 15
7 42
8 22
9
Disentangled behavioural representations
10
10 19
11 19
12 1
13
p4est: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octreesbreakdown →
443
14 57
15
Real-Time PDE-Constrained Optimization (Computational Science and Engineering)
9
16 83
17 86
18 16
19 9
20
MINLP and MILP strategies for discrete sizing structural optimization problems
15

About Omar Ghattas

Omar Ghattas is a scholar working on Statistics, Probability and Uncertainty, Computer Graphics and Computer-Aided Design and Geophysics, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (11 papers), Probabilistic and Robust Engineering Design (9 papers) and Gaussian Processes and Bayesian Inference (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (111 citations), Statistics, Probability and Uncertainty (191 citations) and Geophysics (321 citations). Omar Ghattas has collaborated with scholars based in United States, Germany and Australia. Frequent 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. Their work appears in journals such as Nature Communications, Water Resources Research and Journal of Computational Physics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026