Stefano Ferrari

About

Stefano Ferrari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geology. According to data from OpenAlex, Stefano Ferrari has authored 35 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 6 papers in Geology. Recurrent topics in Stefano Ferrari’s work include Neural Networks and Applications (8 papers), 3D Surveying and Cultural Heritage (6 papers) and Optical measurement and interference techniques (5 papers). Stefano Ferrari is often cited by papers focused on Neural Networks and Applications (8 papers), 3D Surveying and Cultural Heritage (6 papers) and Optical measurement and interference techniques (5 papers). Stefano Ferrari collaborates with scholars based in Italy, Pakistan and Türkiye. Stefano Ferrari's co-authors include N. Alberto Borghese, Vincenzo Piuri, Jean Decety, Marco Tettamanti, Ferruccio Fazio, Daniela Perani, Maria Carla Gilardi, Francesco Bellocchio, Hasan Belevi and Peter Baccini and has published in prestigious journals such as NeuroImage, Waste Management and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Stefano Ferrari i

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Fields of papers citing papers by Stefano Ferrari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stefano Ferrari

Since Specialization

Citations

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