Daniela Calvetti

167 papers and 3.4k indexed citations i.

About

Daniela Calvetti is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Mathematical Physics. According to data from OpenAlex, Daniela Calvetti has authored 167 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computational Theory and Mathematics, 38 papers in Computational Mechanics and 36 papers in Mathematical Physics. Recurrent topics in Daniela Calvetti’s work include Matrix Theory and Algorithms (41 papers), Inverse Problems in Mathematical Physics and Imaging (36 papers) and Sparse and Compressive Sensing Techniques (27 papers). Daniela Calvetti is often cited by papers focused on Matrix Theory and Algorithms (41 papers), Inverse Problems in Mathematical Physics and Imaging (36 papers) and Sparse and Compressive Sensing Techniques (27 papers). Daniela Calvetti collaborates with scholars based in United States, Italy and Finland. Daniela Calvetti's co-authors include Lothar Reichel, Erkki Somersalo, Fiorella Sgallari, Bryan W. Lewis, Serena Morigi, Gene H. Golub, James Baglama, Rossana Occhipinti, William B. Gragg and Barbara Vantaggi and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Journal of Neurophysiology and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Daniela Calvetti i

Fields of papers citing papers by Daniela Calvetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Calvetti

Since Specialization
Citations

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