Francesco Tortorella

50 papers and 1.0k indexed citations i.

About

Francesco Tortorella is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Francesco Tortorella has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 9 papers in Biomedical Engineering. Recurrent topics in Francesco Tortorella’s work include Imbalanced Data Classification Techniques (12 papers), AI in cancer detection (12 papers) and Image Retrieval and Classification Techniques (9 papers). Francesco Tortorella is often cited by papers focused on Imbalanced Data Classification Techniques (12 papers), AI in cancer detection (12 papers) and Image Retrieval and Classification Techniques (9 papers). Francesco Tortorella collaborates with scholars based in Italy, The Netherlands and Iceland. Francesco Tortorella's co-authors include Claudio Marrocco, Mario Vento, Alessandro Bria, M. Penza, G. Cassano, Mario Molinara, Pierluigi Ritrovato, Gennaro Percannella, Luca Greco and Nico Karssemeijer and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Sensors and Actuators B Chemical and Sensors.

In The Last Decade

Co-authorship network of co-authors of Francesco Tortorella i

Fields of papers citing papers by Francesco Tortorella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Tortorella

Since Specialization
Citations

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