Andrea Bianchi

37 papers and 518 indexed citations i.

About

Andrea Bianchi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Andrea Bianchi has authored 37 papers receiving a total of 518 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 10 papers in Epidemiology. Recurrent topics in Andrea Bianchi’s work include AI in cancer detection (14 papers), Cervical Cancer and HPV Research (9 papers) and Digital Imaging for Blood Diseases (7 papers). Andrea Bianchi is often cited by papers focused on AI in cancer detection (14 papers), Cervical Cancer and HPV Research (9 papers) and Digital Imaging for Blood Diseases (7 papers). Andrea Bianchi collaborates with scholars based in Brazil, United States and Portugal. Andrea Bianchi's co-authors include Daniela Ushizima, Cláudia Martins Carneiro, Mariana T. Rezende, Fátima N. S. de Medeiros, Romuere Silva, Flávio H. D. Araújo, Masoud S. Nosrati, Gustavo Carneiro, Zhi Lu and Andrew P. Bradley and has published in prestigious journals such as PLoS ONE, Polymer and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Andrea Bianchi i

Fields of papers citing papers by Andrea Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Bianchi

Since Specialization
Citations

This map shows the geographic impact of Andrea Bianchi'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 Andrea Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Bianchi 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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2026