Roger Ghanem

20.3k total citations · 2 hit papers
239 papers, 15.0k citations indexed

About

Roger Ghanem is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Environmental Engineering. According to data from OpenAlex, Roger Ghanem has authored 239 papers receiving a total of 15.0k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Statistics, Probability and Uncertainty, 94 papers in Civil and Structural Engineering and 50 papers in Environmental Engineering. Recurrent topics in Roger Ghanem's work include Probabilistic and Robust Engineering Design (151 papers), Structural Health Monitoring Techniques (60 papers) and Wind and Air Flow Studies (41 papers). Roger Ghanem is often cited by papers focused on Probabilistic and Robust Engineering Design (151 papers), Structural Health Monitoring Techniques (60 papers) and Wind and Air Flow Studies (41 papers). Roger Ghanem collaborates with scholars based in United States, France and Canada. Roger Ghanem's co-authors include Pol D. Spanos, Habib N. Najm, Christian Soize, Olivier Le Maı̂tre, Omar M. Knio, David Higdon, Houman Owhadi, Matthew T. Reagan, Masanobu Shinozuka and John Red-Horse and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Water Resources Research.

In The Last Decade

Roger Ghanem

233 papers receiving 14.2k citations

Hit Papers

Stochastic Finite Element... 1991 2026 2002 2014 1991 2016 1000 2.0k 3.0k 4.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Roger Ghanem 11.0k 6.4k 3.6k 2.5k 2.4k 239 15.0k
Pol D. Spanos 7.3k 0.7× 6.8k 1.1× 2.2k 0.6× 1.1k 0.4× 1.6k 0.7× 248 12.7k
Dongbin Xiu 8.6k 0.8× 2.7k 0.4× 2.5k 0.7× 2.4k 0.9× 2.6k 1.1× 116 11.6k
Bruno Sudret 7.9k 0.7× 4.8k 0.8× 1.7k 0.5× 2.5k 1.0× 860 0.4× 176 10.9k
I. M. Sobol 5.3k 0.5× 2.4k 0.4× 1.7k 0.5× 1.7k 0.7× 777 0.3× 73 12.3k
Masanobu Shinozuka 5.8k 0.5× 14.6k 2.3× 2.5k 0.7× 398 0.2× 680 0.3× 344 19.9k
James L. Beck 7.2k 0.7× 10.8k 1.7× 1.3k 0.4× 1.0k 0.4× 318 0.1× 234 15.3k
Andy J. Keane 3.7k 0.3× 1.9k 0.3× 655 0.2× 5.8k 2.3× 982 0.4× 265 11.9k
Raphael T. Haftka 7.4k 0.7× 9.0k 1.4× 771 0.2× 7.9k 3.1× 887 0.4× 651 23.0k
Armen Der Kiureghian 7.3k 0.7× 11.9k 1.9× 1.4k 0.4× 1.3k 0.5× 243 0.1× 194 16.4k
Joaquim R. R. A. Martins 3.1k 0.3× 1.8k 0.3× 653 0.2× 3.1k 1.2× 1.8k 0.8× 374 15.3k

Countries citing papers authored by Roger Ghanem

Since Specialization
Citations

This map shows the geographic impact of Roger Ghanem'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 Roger Ghanem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Ghanem more than expected).

Fields of papers citing papers by Roger Ghanem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roger Ghanem. 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 Roger Ghanem. The network helps show where Roger Ghanem may publish in the future.

Co-authorship network of co-authors of Roger Ghanem

This figure shows the co-authorship network connecting the top 25 collaborators of Roger Ghanem. A scholar is included among the top collaborators of Roger Ghanem 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 Roger Ghanem. Roger Ghanem 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
1.
Giovanis, Dimitris G., et al.. (2025). Generative learning of densities on manifolds. Computer Methods in Applied Mechanics and Engineering. 446. 118266–118266.
2.
Ghanem, Roger, et al.. (2024). MESH REFINEMENT AS PROBABILISTIC LEARNING. 5(4). 1–21. 1 indexed citations
3.
Zeng, Xiaoshu & Roger Ghanem. (2024). Data-driven projection pursuit adaptation of polynomial chaos expansions for dependent high-dimensional parameters. Computer Methods in Applied Mechanics and Engineering. 433. 117505–117505. 1 indexed citations
4.
Gencturk, Bora, et al.. (2024). Damage detection and localization in sealed spent nuclear fuel dry storage canisters using multi-task machine learning classifiers. Reliability Engineering & System Safety. 252. 110446–110446. 7 indexed citations
5.
Tu, Xiaohui, et al.. (2024). Switching diffusions for multiscale uncertainty quantification. International Journal of Non-Linear Mechanics. 165. 104793–104793. 3 indexed citations
6.
Gencturk, Bora, et al.. (2023). Machine learning-aided damage identification of mock-up spent nuclear fuel assemblies in a sealed dry storage canister. Engineering Applications of Artificial Intelligence. 128. 107484–107484. 11 indexed citations
7.
Zeng, Xiaoshu, Gianluca Geraci, Michael Eldred, et al.. (2023). Multifidelity uncertainty quantification with models based on dissimilar parameters. Computer Methods in Applied Mechanics and Engineering. 415. 116205–116205. 15 indexed citations
8.
Wang, Zhiheng, et al.. (2023). Stochastic multiscale modeling for quantifying statistical and model errors with application to composite materials. Reliability Engineering & System Safety. 235. 109213–109213. 16 indexed citations
9.
Wang, Zhiheng & Roger Ghanem. (2022). A functional global sensitivity measure and efficient reliability sensitivity analysis with respect to statistical parameters. Computer Methods in Applied Mechanics and Engineering. 402. 115175–115175. 24 indexed citations
10.
Safta, Cosmin, et al.. (2022). Trajectory design via unsupervised probabilistic learning on optimal manifolds. SHILAP Revista de lepidopterología. 3. 3 indexed citations
11.
Ghanem, Roger, et al.. (2021). Normal-Bundle Bootstrap. SIAM Journal on Mathematics of Data Science. 3(2). 573–592. 2 indexed citations
12.
Ghanem, Roger, et al.. (2020). Probabilistic learning and updating of a digital twin for composite material systems. International Journal for Numerical Methods in Engineering. 123(13). 3004–3020. 26 indexed citations
13.
Huan, Xun, Cosmin Safta, Khachik Sargsyan, et al.. (2019). Compressive sensing adaptation for polynomial chaos expansions. Journal of Computational Physics. 380. 29–47. 47 indexed citations
14.
Soize, Christian & Roger Ghanem. (2019). Physics‐constrained non‐Gaussian probabilistic learning on manifolds. International Journal for Numerical Methods in Engineering. 121(1). 110–145. 21 indexed citations
15.
Ghanem, Roger, Christian Soize, Cosmin Safta, et al.. (2019). Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds. Journal of Computational Physics. 399. 108930–108930. 22 indexed citations
17.
Zeng, Xiaoshu, et al.. (2018). Dominant vibration modes for broadband frequency analysis of multiscale structures with numerous local vibration modes. International Journal for Numerical Methods in Engineering. 117(6). 644–692. 7 indexed citations
18.
Ghanem, Roger, et al.. (2018). Optimal Well-Placement Using Probabilistic Learning. HAL (Le Centre pour la Communication Scientifique Directe). 2(1). 17 indexed citations
19.
Ghanem, Roger & Christian Soize. (2017). Probabilistic nonconvex constrained optimization with fixed number of function evaluations. International Journal for Numerical Methods in Engineering. 113(4). 719–741. 22 indexed citations
20.
Ghanem, Roger, et al.. (2013). Basis adaptation in homogeneous chaos spaces. Journal of Computational Physics. 259. 304–317. 77 indexed citations

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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