Daniele Giusto

96 papers and 669 indexed citations i.

About

Daniele Giusto is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Daniele Giusto has authored 96 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 17 papers in Electrical and Electronic Engineering and 15 papers in Signal Processing. Recurrent topics in Daniele Giusto’s work include Advanced Data Compression Techniques (26 papers), Image and Signal Denoising Methods (21 papers) and Advanced Vision and Imaging (18 papers). Daniele Giusto is often cited by papers focused on Advanced Data Compression Techniques (26 papers), Image and Signal Denoising Methods (21 papers) and Advanced Vision and Imaging (18 papers). Daniele Giusto collaborates with scholars based in Italy, Romania and Germany. Daniele Giusto's co-authors include Cristian Perra, Matteo Anedda, Maurizio Murroni, Vlad Popescu, Volker Märgner, Peter Meinlschmidt, Francesco G. B. De Natale, Mauro Fadda, G. Vernazza and Virginia Pilloni and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Co-authorship network of co-authors of Daniele Giusto i

Fields of papers citing papers by Daniele Giusto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele Giusto

Since Specialization
Citations

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