Roberto Molinaro

12 papers and 436 indexed citations i.

About

Roberto Molinaro is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Roberto Molinaro has authored 12 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 5 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Roberto Molinaro’s work include Model Reduction and Neural Networks (10 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Neural Networks and Applications (3 papers). Roberto Molinaro is often cited by papers focused on Model Reduction and Neural Networks (10 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Neural Networks and Applications (3 papers). Roberto Molinaro collaborates with scholars based in Switzerland, Norway and United States. Roberto Molinaro's co-authors include Siddhartha Mishra, D. Lakehal, Chidambaram Narayanan, E. Hosseini, Laura De Lorenzis and Tim De Ryck and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, SIAM Journal on Numerical Analysis and Journal of Quantitative Spectroscopy and Radiative Transfer.

In The Last Decade

Co-authorship network of co-authors of Roberto Molinaro i

Fields of papers citing papers by Roberto Molinaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roberto Molinaro

Since Specialization
Citations

This map shows the geographic impact of Roberto Molinaro'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 Roberto Molinaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Molinaro 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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2025