Daniel D. Giusto

5 papers and 237 indexed citations i.

About

Daniel D. Giusto is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Mathematical Physics. According to data from OpenAlex, Daniel D. Giusto has authored 5 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 1 paper in Mathematical Physics. Recurrent topics in Daniel D. Giusto’s work include Advanced Image Processing Techniques (2 papers), Image and Signal Denoising Methods (2 papers) and Video Coding and Compression Technologies (1 paper). Daniel D. Giusto is often cited by papers focused on Advanced Image Processing Techniques (2 papers), Image and Signal Denoising Methods (2 papers) and Video Coding and Compression Technologies (1 paper). Daniel D. Giusto collaborates with scholars based in Italy and Germany. Daniel D. Giusto's co-authors include Luigi Atzori, Giacomo Morabito, Antonio Iera and Francesco G. B. De Natale and has published in prestigious journals such as Springer eBooks and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Co-authorship network of co-authors of Daniel D. Giusto i

Fields of papers citing papers by Daniel D. Giusto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel D. Giusto

Since Specialization
Citations

This map shows the geographic impact of Daniel D. 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 Daniel D. Giusto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. 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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2025