Fabiana Zama

47 papers and 533 indexed citations i.

About

Fabiana Zama is a scholar working on Mathematical Physics, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Fabiana Zama has authored 47 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mathematical Physics, 15 papers in Computer Vision and Pattern Recognition and 13 papers in Computational Mechanics. Recurrent topics in Fabiana Zama’s work include Inverse Problems in Mathematical Physics and Imaging (19 papers), Image and Signal Denoising Methods (12 papers) and Sparse and Compressive Sensing Techniques (10 papers). Fabiana Zama is often cited by papers focused on Inverse Problems in Mathematical Physics and Imaging (19 papers), Image and Signal Denoising Methods (12 papers) and Sparse and Compressive Sensing Techniques (10 papers). Fabiana Zama collaborates with scholars based in Italy, United States and United Kingdom. Fabiana Zama's co-authors include Elena Loli Piccolomini, Germana Landi, Dario Frascari, Fabio Fava, Davide Pinelli, Lorenzo Bertin, Villiam Bortolotti, Paola Fantazzini, Lothar Reichel and Serena Morigi and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and Chemical Engineering Journal.

In The Last Decade

Co-authorship network of co-authors of Fabiana Zama i

Fields of papers citing papers by Fabiana Zama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabiana Zama

Since Specialization
Citations

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