Francesco Rizzi

27 papers and 339 indexed citations i.

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 27 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics, Probability and Uncertainty, 12 papers in Statistical and Nonlinear Physics and 7 papers in Hardware and Architecture. Recurrent topics in Francesco Rizzi’s work include Probabilistic and Robust Engineering Design (16 papers), Model Reduction and Neural Networks (12 papers) and Parallel Computing and Optimization Techniques (7 papers). Francesco Rizzi is often cited by papers focused on Probabilistic and Robust Engineering Design (16 papers), Model Reduction and Neural Networks (12 papers) and Parallel Computing and Optimization Techniques (7 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, Khachik Sargsyan, Reese E. Jones, 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 Computer Physics Communications.

In The Last Decade

Co-authorship network of co-authors of Francesco Rizzi i

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.

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).

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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