Laura Farinetti

17 papers and 82 indexed citations i.

About

Laura Farinetti is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laura Farinetti has authored 17 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Science Applications, 8 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laura Farinetti’s work include Online Learning and Analytics (10 papers), Online and Blended Learning (3 papers) and Recommender Systems and Techniques (2 papers). Laura Farinetti is often cited by papers focused on Online Learning and Analytics (10 papers), Online and Blended Learning (3 papers) and Recommender Systems and Techniques (2 papers). Laura Farinetti collaborates with scholars based in Italy, United States and United Kingdom. Laura Farinetti's co-authors include Luca Cagliero, Elena Baralis, Bartolomeo Montrucchio, Daniele Quercia, Juan Carlos De Martin, Laura Docío-Fernández, Carmén García Mateo, Dario Bonino, Fulvio Corno and Davide Quaglia and has published in prestigious journals such as IEEE Access, Applied Sciences and Education and Information Technologies.

In The Last Decade

Co-authorship network of co-authors of Laura Farinetti i

Fields of papers citing papers by Laura Farinetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Farinetti

Since Specialization
Citations

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