Manuel Roveri

About

Manuel Roveri is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Manuel Roveri has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 22 papers in Control and Systems Engineering. Recurrent topics in Manuel Roveri’s work include Adaptation to Concept Drift in Data Streams (21 papers), Anomaly Detection Techniques and Applications (18 papers) and Fault Detection and Control Systems (17 papers). Manuel Roveri is often cited by papers focused on Adaptation to Concept Drift in Data Streams (21 papers), Anomaly Detection Techniques and Applications (18 papers) and Fault Detection and Control Systems (17 papers). Manuel Roveri collaborates with scholars based in Italy, Switzerland and Cyprus. Manuel Roveri's co-authors include Cesare Alippi, Giacomo Boracchi, Robi Polikar, Gregory Ditzler, Mario Di Francesco, Romolo Camplani, Stavros Ntalampiras, C. Galperti, Giuseppe Anastasi and Giuseppe Anastasi and has published in prestigious journals such as IEEE Communications Magazine, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Manuel Roveri i

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Fields of papers citing papers by Manuel Roveri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Manuel Roveri

Since Specialization

Citations

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