Paolo Andreini

17 papers and 195 indexed citations i.

About

Paolo Andreini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Paolo Andreini has authored 17 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Paolo Andreini’s work include Medical Image Segmentation Techniques (5 papers), AI in cancer detection (4 papers) and Advanced Neural Network Applications (3 papers). Paolo Andreini is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), AI in cancer detection (4 papers) and Advanced Neural Network Applications (3 papers). Paolo Andreini collaborates with scholars based in Italy, Germany and United Kingdom. Paolo Andreini's co-authors include Monica Bianchini, Simone Bonechi, Franco Scarselli, A. Mecocci, Andrea Sodi, Caterina Graziani, A. Mecocci, Giovanna Maria Dimitri, Andrea Garzelli and Alberto Rossi and has published in prestigious journals such as Neurocomputing, Pattern Recognition Letters and International Journal of Forecasting.

In The Last Decade

Co-authorship network of co-authors of Paolo Andreini i

Fields of papers citing papers by Paolo Andreini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Andreini

Since Specialization
Citations

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