Massimo Fornasier

80 papers and 3.4k indexed citations i.

About

Massimo Fornasier is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Applied Mathematics. According to data from OpenAlex, Massimo Fornasier has authored 80 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Mechanics, 21 papers in Computer Vision and Pattern Recognition and 18 papers in Applied Mathematics. Recurrent topics in Massimo Fornasier’s work include Sparse and Compressive Sensing Techniques (23 papers), Image and Signal Denoising Methods (20 papers) and Mathematical Biology Tumor Growth (14 papers). Massimo Fornasier is often cited by papers focused on Sparse and Compressive Sensing Techniques (23 papers), Image and Signal Denoising Methods (20 papers) and Mathematical Biology Tumor Growth (14 papers). Massimo Fornasier collaborates with scholars based in Germany, Austria and Italy. Massimo Fornasier's co-authors include Ingrid Daubechies, Holger Rauhut, C. Sınan Güntürk, Ronald DeVore, Giuseppe Toscani, José A. Carrillo, Rachel Ward, Benedetto Piccoli, Francesco Solombrino and Ignace Loris and has published in prestigious journals such as IEEE Transactions on Signal Processing, Mathematics of Computation and Communications in Mathematical Physics.

In The Last Decade

Co-authorship network of co-authors of Massimo Fornasier i

Fields of papers citing papers by Massimo Fornasier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Fornasier

Since Specialization
Citations

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