Paola Favati

46 papers and 275 indexed citations i.

About

Paola Favati is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, Paola Favati has authored 46 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 18 papers in Numerical Analysis and 11 papers in Applied Mathematics. Recurrent topics in Paola Favati’s work include Matrix Theory and Algorithms (23 papers), Advanced Optimization Algorithms Research (11 papers) and Numerical Methods and Algorithms (9 papers). Paola Favati is often cited by papers focused on Matrix Theory and Algorithms (23 papers), Advanced Optimization Algorithms Research (11 papers) and Numerical Methods and Algorithms (9 papers). Paola Favati collaborates with scholars based in Italy, Hungary and Spain. Paola Favati's co-authors include G. Lotti, Francesco Romani, Dario A. Bini, Luciano Margara, Beatrice Meini, Paola Brianzi, Bruno Codenotti, M. Pappalardo, P. Rózsa and Ángeles Martínez and has published in prestigious journals such as Expert Systems with Applications, Computers & Mathematics with Applications and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Paola Favati i

Fields of papers citing papers by Paola Favati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paola Favati

Since Specialization
Citations

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