Daniele Venturi

1.4k total citations
40 papers, 952 citations indexed

About

Daniele Venturi is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Computational Mathematics. According to data from OpenAlex, Daniele Venturi has authored 40 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistical and Nonlinear Physics, 22 papers in Statistics, Probability and Uncertainty and 10 papers in Computational Mathematics. Recurrent topics in Daniele Venturi's work include Probabilistic and Robust Engineering Design (22 papers), Model Reduction and Neural Networks (22 papers) and Tensor decomposition and applications (10 papers). Daniele Venturi is often cited by papers focused on Probabilistic and Robust Engineering Design (22 papers), Model Reduction and Neural Networks (22 papers) and Tensor decomposition and applications (10 papers). Daniele Venturi collaborates with scholars based in United States, Italy and India. Daniele Venturi's co-authors include George Em Karniadakis, Paris Perdikaris, Heyrim Cho, Johannes Ø. Røyset, Xiaoliang Wan, Daniel M. Tartakovsky, Alexandre M. Tartakovsky, Themistoklis P. Sapsis, Xiu Yang and Changsheng Chen and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Daniele Venturi

38 papers receiving 890 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniele Venturi United States 17 474 399 273 156 149 40 952
Hessam Babaee United States 14 281 0.6× 171 0.4× 260 1.0× 48 0.3× 37 0.2× 45 654
Eric Phipps United States 15 197 0.4× 341 0.9× 449 1.6× 326 2.1× 77 0.5× 43 1.2k
Paul G. Constantine United States 22 409 0.9× 871 2.2× 391 1.4× 438 2.8× 226 1.5× 54 1.6k
Saifon Chaturantabut Thailand 6 1.4k 2.9× 569 1.4× 719 2.6× 102 0.7× 33 0.2× 15 1.7k
Clayton Webster United States 16 396 0.8× 1.3k 3.3× 500 1.8× 539 3.5× 374 2.5× 45 1.8k
Tan Bui–Thanh United States 20 965 2.0× 692 1.7× 806 3.0× 255 1.6× 108 0.7× 58 2.0k
Robert Scheichl United Kingdom 25 206 0.4× 705 1.8× 1.0k 3.7× 867 5.6× 203 1.4× 85 2.1k
Akil Narayan United States 19 302 0.6× 562 1.4× 230 0.8× 236 1.5× 100 0.7× 90 1.1k
Ch. Schwab Switzerland 19 127 0.3× 341 0.9× 586 2.1× 282 1.8× 82 0.6× 28 1.1k
Yinhao Zhu United States 8 591 1.2× 213 0.5× 299 1.1× 81 0.5× 149 1.0× 17 1.4k

Countries citing papers authored by Daniele Venturi

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Venturi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Venturi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Venturi. A scholar is included among the top collaborators of Daniele Venturi 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 Daniele Venturi. Daniele Venturi 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.
Venturi, Daniele, et al.. (2025). Uncertainty propagation in feed-forward neural network models. Neural Networks. 194. 108178–108178.
2.
Venturi, Daniele, et al.. (2024). Tensor approximation of functional differential equations. Physical review. E. 110(1). 15310–15310. 1 indexed citations
3.
Venturi, Daniele, et al.. (2023). Implicit Integration of Nonlinear Evolution Equations on Tensor Manifolds. Journal of Scientific Computing. 97(2). 12 indexed citations
4.
Venturi, Daniele & Xiantao Li. (2023). The Mori–Zwanzig formulation of deep learning. Research in the Mathematical Sciences. 10(2). 1 indexed citations
5.
Venturi, Daniele, et al.. (2020). Hypoellipticity and the Mori-Zwanzig formulation of stochastic differential equations. arXiv (Cornell University). 7 indexed citations
6.
Venturi, Daniele, et al.. (2020). Stability analysis of hierarchical tensor methods for time-dependent PDEs. Journal of Computational Physics. 409. 109341–109341. 10 indexed citations
7.
Venturi, Daniele, et al.. (2019). Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs. Journal of Computational Physics. 404. 109125–109125. 17 indexed citations
8.
Venturi, Daniele, et al.. (2018). Faber approximation of the Mori–Zwanzig equation. Journal of Computational Physics. 372. 694–718. 14 indexed citations
9.
Venturi, Daniele, et al.. (2018). Data-driven closures for stochastic dynamical systems. Journal of Computational Physics. 372. 281–298. 19 indexed citations
10.
Dominy, Jason, et al.. (2017). Rigorous error estimates for the memory integral in the Mori-Zwanzig formulation. arXiv (Cornell University). 1 indexed citations
11.
Cho, Heyrim, Xiu Yang, Daniele Venturi, & George Em Karniadakis. (2015). Algorithms for Propagating Uncertainty Across Heterogeneous Domains. SIAM Journal on Scientific Computing. 37(6). A3030–A3054. 5 indexed citations
12.
Cho, Heyrim, Daniele Venturi, & George Em Karniadakis. (2015). Numerical methods for high-dimensional probability density function equations. Journal of Computational Physics. 305. 817–837. 38 indexed citations
13.
Venturi, Daniele & George Em Karniadakis. (2014). Convolutionless Nakajima–Zwanzig equations for stochastic analysis in nonlinear dynamical systems. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 470(2166). 20130754–20130754. 30 indexed citations
14.
Cho, Heyrim, Daniele Venturi, & George Em Karniadakis. (2014). Statistical analysis and simulation of random shocks in stochastic Burgers equation. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 470(2171). 20140080–20140080. 12 indexed citations
15.
Cho, Heyrim, Daniele Venturi, & George Em Karniadakis. (2013). Karhunen–Loève expansion for multi-correlated stochastic processes. Probabilistic Engineering Mechanics. 34. 157–167. 46 indexed citations
16.
Venturi, Daniele, Xianhui Wan, R. Mikulevíčius, B. L. Rozovskiĭ, & George Em Karniadakis. (2013). and simulations stochastic partial differential equations: analysis Malliavin approximation to nonlinear - Wick. 1 indexed citations
17.
Venturi, Daniele, Themistoklis P. Sapsis, Heyrim Cho, & George Em Karniadakis. (2011). A computable evolution equation for the joint response-excitation probability density function of stochastic dynamical systems. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 468(2139). 759–783. 37 indexed citations
18.
Venturi, Daniele. (2010). A fully symmetric nonlinear biorthogonal decomposition theory for random fields. Physica D Nonlinear Phenomena. 240(4-5). 415–425. 20 indexed citations
19.
Venturi, Daniele, Xiaoliang Wan, & George Em Karniadakis. (2008). Stochastic low-dimensional modelling of a random laminar wake past a circular cylinder. Journal of Fluid Mechanics. 606. 339–367. 41 indexed citations
20.
Venturi, Daniele, Xiaoliang Wan, & George Em Karniadakis. (2005). Stochastic Thermal Convection. Bulletin of the American Physical Society. 58.

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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