Alessandro Bria

29 papers and 968 indexed citations i.

About

Alessandro Bria is a scholar working on Artificial Intelligence, Biophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alessandro Bria has authored 29 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Biophysics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alessandro Bria’s work include Advanced Fluorescence Microscopy Techniques (9 papers), Cell Image Analysis Techniques (9 papers) and AI in cancer detection (8 papers). Alessandro Bria is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (9 papers), Cell Image Analysis Techniques (9 papers) and AI in cancer detection (8 papers). Alessandro Bria collaborates with scholars based in Italy, United States and The Netherlands. Alessandro Bria's co-authors include Giulio Iannello, Francesco Tortorella, Hanchuan Peng, Claudio Marrocco, Fuhui Long, Zhi Zhou, Francesco S. Pavone, Leonardo Sacconi, Ludovico Silvestri and Nico Karssemeijer and has published in prestigious journals such as Nature Communications, Nature Protocols and Optics Express.

In The Last Decade

Co-authorship network of co-authors of Alessandro Bria i

Fields of papers citing papers by Alessandro Bria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alessandro Bria

Since Specialization
Citations

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