Paola Brianzi

15 papers and 277 indexed citations i.

About

Paola Brianzi is a scholar working on Mathematical Physics, Computer Vision and Pattern Recognition and Applied Mathematics. According to data from OpenAlex, Paola Brianzi has authored 15 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mathematical Physics, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Applied Mathematics. Recurrent topics in Paola Brianzi’s work include Inverse Problems in Mathematical Physics and Imaging (9 papers), Image and Signal Denoising Methods (6 papers) and Mathematical Analysis and Transform Methods (4 papers). Paola Brianzi is often cited by papers focused on Inverse Problems in Mathematical Physics and Imaging (9 papers), Image and Signal Denoising Methods (6 papers) and Mathematical Analysis and Transform Methods (4 papers). Paola Brianzi collaborates with scholars based in Italy, United Kingdom and France. Paola Brianzi's co-authors include M. Bertero, E. R. Pike, M. Frontini, Edward Roy Pike, Fabio Di Benedetto, Claudio Estatico, Nicole Ostrowsky, Geoffrey de Villiers, Francesco Romani and Paola Favati and has published in prestigious journals such as The Journal of Chemical Physics, SIAM Journal on Scientific Computing and Inverse Problems.

In The Last Decade

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

Fields of papers citing papers by Paola Brianzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paola Brianzi

Since Specialization
Citations

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