Fabio Carrara

33 papers and 484 indexed citations i.

About

Fabio Carrara is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Fabio Carrara has authored 33 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Fabio Carrara’s work include Multimodal Machine Learning Applications (7 papers), Adversarial Robustness in Machine Learning (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Fabio Carrara is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Adversarial Robustness in Machine Learning (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Fabio Carrara collaborates with scholars based in Italy, Czechia and Austria. Fabio Carrara's co-authors include Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo, Carlo Meghini, Pavel Zezula, Jan Sedmidubský, Fabio Valerio Massoli, Rudy Becarelli and Roberto Caldelli and has published in prestigious journals such as Human Molecular Genetics, Expert Systems with Applications and Cell Reports.

In The Last Decade

Co-authorship network of co-authors of Fabio Carrara i

Fields of papers citing papers by Fabio Carrara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabio Carrara

Since Specialization
Citations

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