Francesco Rizzi

532 total citations
31 papers, 351 citations indexed

About

Francesco Rizzi is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Hardware and Architecture. According to data from OpenAlex, Francesco Rizzi has authored 31 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics, Probability and Uncertainty, 14 papers in Statistical and Nonlinear Physics and 8 papers in Hardware and Architecture. Recurrent topics in Francesco Rizzi's work include Probabilistic and Robust Engineering Design (18 papers), Model Reduction and Neural Networks (14 papers) and Parallel Computing and Optimization Techniques (8 papers). Francesco Rizzi is often cited by papers focused on Probabilistic and Robust Engineering Design (18 papers), Model Reduction and Neural Networks (14 papers) and Parallel Computing and Optimization Techniques (8 papers). Francesco Rizzi collaborates with scholars based in United States, France and Saudi Arabia. Francesco Rizzi's co-authors include Bert Debusschere, Omar Knio, Maher Salloum, Reese E. Jones, Khachik Sargsyan, Habib N. Najm, Omar M. Knio, Helgi Adalsteinsson, Patrick Blonigan and Olivier Le Maı̂tre and has published in prestigious journals such as The Journal of Chemical Physics, Computer Methods in Applied Mechanics and Engineering and AIAA Journal.

In The Last Decade

Francesco Rizzi

25 papers receiving 346 citations

Peers

Countries citing papers authored by Francesco Rizzi

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Rizzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Rizzi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Rizzi. A scholar is included among the top collaborators of Francesco Rizzi 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 Francesco Rizzi. Francesco Rizzi 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	The role of interface boundary conditions and sampling strategies for Schwarz-based coupling of projection-based reduced order models 2025 ·Journal of Computational and Applied Mathematics ·(unknown), Francesco Rizzi, (unknown), Irina Tezaur	3
2	Hybrid Parallel Tucker Decomposition of Streaming Data 2024 ·(unknown), Hemanth Kolla, (unknown), Eric Phipps, Francesco Rizzi	0
3	Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization 2022 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Bo Zhang, (unknown), Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar	0
4	Projection-based model reduction for finite-element simulations of thermal protection systems 2021 ·AIAA Scitech 2021 Forum ·Marco Arienti, Patrick Blonigan, Francesco Rizzi, (unknown), (unknown)	0
5	Optimizing Distributed Load Balancing for Workloads with Time-Varying Imbalance 2021 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·(unknown), (unknown), Philippe Pébaÿ, (unknown), Francesco Rizzi, (unknown)	0
6	A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems 2021 ·Computer Methods in Applied Mechanics and Engineering ·Francesco Rizzi, Eric Parish, Patrick Blonigan, (unknown)	1
7	Towards an integrated and efficient framework for leveraging reduced order models for multifidelity uncertainty quantification 2020 ·AIAA Scitech 2020 Forum ·Patrick Blonigan, Gianluca Geraci, Francesco Rizzi, Michael Eldred	9
8	Model reduction for hypersonic aerodynamics via conservative LSPG projection and hyper-reduction 2020 ·AIAA Scitech 2020 Forum ·Patrick Blonigan, Kevin Carlberg, Francesco Rizzi, (unknown), (unknown)	10
9	Bayesian modeling of inconsistent plastic response due to material variability 2019 ·Computer Methods in Applied Mechanics and Engineering ·Francesco Rizzi, Mohammad Khalil, Reese E. Jones, Jeremy Alan Templeton, Jakob T. Ostien, Brad Boyce	10
10	Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations. Part A: Local Karhunen--Loève Representations 2018 ·SIAM Journal on Scientific Computing ·(unknown), Paul Mycek, Olivier Le Maı̂tre, Francesco Rizzi, Bert Debusschere, Omar Knio	8
11	A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs 2017 ·Computer Physics Communications ·Paul Mycek, (unknown), Olivier Le Maı̂tre, Khachik Sargsyan, Francesco Rizzi, (unknown), Cosmin Safta, Bert Debusschere, Omar Knio	6
12	Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner 2017 ·Parallel Computing ·Francesco Rizzi, (unknown), Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier Le Maı̂tre, Omar Knio, Bert Debusschere	1
13	Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver 2016 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·(unknown), Francesco Rizzi, (unknown), Paul Mycek, (unknown), (unknown), (unknown), (unknown), Bert Debusschere	0
14	Uncertainty quantification of ion chemistry in lean and stoichiometric homogenous mixtures of methane, oxygen, and argon 2015 ·Combustion and Flame ·Daesang Kim, Francesco Rizzi, (unknown), Jie Han, Fabrizio Bisetti, Omar Knio	28
15	Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults 2015 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Francesco Rizzi, (unknown), Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier Le Maı̂tre, Omar Knio, Bert Debusschere	2
16	Fault Resilient Domain Decomposition Preconditioner for PDEs 2015 ·SIAM Journal on Scientific Computing ·Khachik Sargsyan, Francesco Rizzi, Paul Mycek, Cosmin Safta, (unknown), Habib N. Najm, Olivier Le Maı̂tre, Omar Knio, Bert Debusschere	9
17	Uncertainty quantification in MD simulations of concentration driven ionic flow through a silica nanopore. I. Sensitivity to physical parameters of the pore 2013 ·The Journal of Chemical Physics ·Francesco Rizzi, Reese E. Jones, Bert Debusschere, Omar Knio	33
18	Uncertainty quantification in MD simulations of concentration driven ionic flow through a silica nanopore. II. Uncertain potential parameters 2013 ·The Journal of Chemical Physics ·Francesco Rizzi, Reese E. Jones, Bert Debusschere, Omar M. Knio	33
19	Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters 2012 ·Multiscale Modeling and Simulation ·Francesco Rizzi, Habib N. Najm, Bert Debusschere, Khachik Sargsyan, Maher Salloum, Helgi Adalsteinsson, Omar Knio	58
20	Uncertainty Quantification in MD Simulations. Part I: Forward Propagation 2012 ·Multiscale Modeling and Simulation ·Francesco Rizzi, Habib N. Najm, Bert Debusschere, Khachik Sargsyan, Maher Salloum, Helgi Adalsteinsson, Omar M. Knio	50

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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