Houman Owhadi

93 papers receiving 2.4k citations

Hit Papers

Handbook of Uncertainty Quantification20162026201920222016100200300400

Peers

Houman Owhadi
Comparison fields: 5 of 130
  • Statistics, Probability and Uncertainty 935
  • Computational Mechanics 704
  • Computational Theory and Mathematics 651
  • Statistical and Nonlinear Physics 630
  • Artificial Intelligence 445
Replace Guang Lin with:
Guang Lin United States
Hans Bruun Nielsen Denmark
Andrea Walther Germany
Hermann G. Matthies Germany
Nicholas Zabaras United States
Benjamin Peherstorfer United States
Mihai Anitescu United States
Paul G. Constantine United States
Youssef Marzouk United States
Bernard Haasdonk Germany
Houman Owhadi relative to Guang Lin United States Guang Lin's profile →
Citations per field
00.5×1.5×2.0×
Guang Lin · 1×
Citations per year

Countries citing papers authored by Houman Owhadi

Since Specialization
Citations

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

Fields of papers citing papers by Houman Owhadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houman Owhadi

This figure shows the co-authorship network connecting the top 25 collaborators of Houman Owhadi. A scholar is included among the top collaborators of Houman Owhadi 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 Houman Owhadi. Houman Owhadi 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 0
3 0
4 1
5 2
6 7
7 1
8 4
9 1
10 5
11 9
12 14
13 17
14 5
15
On testing the simulation hypothesis
0
16
Bayesian Brittleness: Why no Bayesian model is "good enough"
1
17 66
18
Near Boltzmann-Gibbs Measure Preserving Stochastic Variational Integrator
1
19
Boltzmann-Gibbs Preserving Stochastic Variational Integrator
1
20
Boltzmann-Gibbs Preserving Langevin Integrators
1

About Houman Owhadi

Houman Owhadi is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 102 papers that have together received 2.5k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (31 papers), Probabilistic and Robust Engineering Design (30 papers) and Gaussian Processes and Bayesian Inference (21 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (935 citations), Statistical and Nonlinear Physics (630 citations) and Computational Theory and Mathematics (651 citations). Houman Owhadi has collaborated with scholars based in United States, United Kingdom and Kuwait. Frequent co-authors include Roger Ghanem, David Higdon, Alireza Doostan, Lei Zhang, Boumediene Hamzi, Mathieu Desbrun, Clint Scovel, Nawaf Bou‐Rabee, M. Ortíz and Yifan Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics 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