Rita Francese

41 papers and 395 indexed citations i.

About

Rita Francese is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Rita Francese has authored 41 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 14 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Rita Francese’s work include Software Engineering Research (9 papers), Augmented Reality Applications (6 papers) and Virtual Reality Applications and Impacts (5 papers). Rita Francese is often cited by papers focused on Software Engineering Research (9 papers), Augmented Reality Applications (6 papers) and Virtual Reality Applications and Impacts (5 papers). Rita Francese collaborates with scholars based in Italy, China and United States. Rita Francese's co-authors include Genoveffa Tortora, Andrea De Lucia, Ignazio Passero, Michele Risi, Giuseppe Scanniello, Xiaomin Yang, Carmine Gravino, Maurizio Tucci, Paola Barra and Fausto Fasano and has published in prestigious journals such as Computers & Education, Pattern Recognition Letters and IEEE Transactions on Mobile Computing.

In The Last Decade

Co-authorship network of co-authors of Rita Francese i

Fields of papers citing papers by Rita Francese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rita Francese

Since Specialization
Citations

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