Giuliano Grossi

35 papers and 320 indexed citations i.

About

Giuliano Grossi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Giuliano Grossi has authored 35 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Giuliano Grossi’s work include Sparse and Compressive Sensing Techniques (7 papers), ECG Monitoring and Analysis (6 papers) and Face recognition and analysis (5 papers). Giuliano Grossi is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), ECG Monitoring and Analysis (6 papers) and Face recognition and analysis (5 papers). Giuliano Grossi collaborates with scholars based in Italy, France and United States. Giuliano Grossi's co-authors include Raffaella Lanzarotti, Jianyi Lin, Giuseppe Boccignone, Donatello Conte, Nicoletta Noceti, Francesca Odone, Paolo Napoletano, Paola Campadelli, Alessandro Petrini and Andrea Bertoni and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Giuliano Grossi i

Fields of papers citing papers by Giuliano Grossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Giuliano Grossi

Since Specialization
Citations

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