Marco Ruzzi

10 papers and 222 indexed citations i.

About

Marco Ruzzi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Marco Ruzzi has authored 10 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 4 papers in Management Science and Operations Research. Recurrent topics in Marco Ruzzi’s work include Semantic Web and Ontologies (9 papers), Advanced Database Systems and Queries (7 papers) and Data Quality and Management (4 papers). Marco Ruzzi is often cited by papers focused on Semantic Web and Ontologies (9 papers), Advanced Database Systems and Queries (7 papers) and Data Quality and Management (4 papers). Marco Ruzzi collaborates with scholars based in Italy. Marco Ruzzi's co-authors include Riccardo Rosati, Domenico Fabio Savo, Domenico Lembo, Maurizio Lenzerini, Antonella Poggi, Giuseppe De Giacomo, Mariano Rodríguez-Muro and Diego Calvanese and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Web Semantics and Semantic Web.

In The Last Decade

Co-authorship network of co-authors of Marco Ruzzi i

Fields of papers citing papers by Marco Ruzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Ruzzi

Since Specialization
Citations

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