Rosa Meo

38 papers and 469 indexed citations i.

About

Rosa Meo is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Rosa Meo has authored 38 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Information Systems and 10 papers in Signal Processing. Recurrent topics in Rosa Meo’s work include Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (9 papers) and Rough Sets and Fuzzy Logic (7 papers). Rosa Meo is often cited by papers focused on Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (9 papers) and Rough Sets and Fuzzy Logic (7 papers). Rosa Meo collaborates with scholars based in Italy, France and Belgium. Rosa Meo's co-authors include Dino Ienco, Ruggero G. Pensa, Stefano Ceri, Giuseppe Psaila, Floriana Esposito, Toon Calders, Eyke Hüllermeier, Emilio Sulis, Rossano Schifanella and Mirko Lai and has published in prestigious journals such as IEEE Transactions on Information Theory, Sensors and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Rosa Meo i

Fields of papers citing papers by Rosa Meo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rosa Meo

Since Specialization
Citations

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