Andrea Mola

31 papers and 515 indexed citations i.

About

Andrea Mola is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Andrea Mola has authored 31 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 13 papers in Statistical and Nonlinear Physics and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Andrea Mola’s work include Model Reduction and Neural Networks (12 papers), Fluid Dynamics and Vibration Analysis (9 papers) and Advanced Numerical Methods in Computational Mathematics (7 papers). Andrea Mola is often cited by papers focused on Model Reduction and Neural Networks (12 papers), Fluid Dynamics and Vibration Analysis (9 papers) and Advanced Numerical Methods in Computational Mathematics (7 papers). Andrea Mola collaborates with scholars based in Italy, United States and Germany. Andrea Mola's co-authors include Gianluigi Rozza, Giovanni Stabile, Marco Tezzele, Luca Heltai, Nicola Demo, Stefano Lorenzi, Antonio DeSimone, Luca Formaggia, Edie Miglio and Nicola Parolini and has published in prestigious journals such as Journal of Computational Physics, Journal of Structural Engineering and Computers & Mathematics with Applications.

In The Last Decade

Co-authorship network of co-authors of Andrea Mola i

Fields of papers citing papers by Andrea Mola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Mola

Since Specialization
Citations

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