Tommaso Di Noia

138 papers and 1.5k indexed citations i.

About

Tommaso Di Noia is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Tommaso Di Noia has authored 138 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 77 papers in Information Systems and 27 papers in Computer Networks and Communications. Recurrent topics in Tommaso Di Noia’s work include Semantic Web and Ontologies (48 papers), Recommender Systems and Techniques (38 papers) and QoS-Aware Web Services Composition and Semantic Matching (32 papers). Tommaso Di Noia is often cited by papers focused on Semantic Web and Ontologies (48 papers), Recommender Systems and Techniques (38 papers) and QoS-Aware Web Services Composition and Semantic Matching (32 papers). Tommaso Di Noia collaborates with scholars based in Italy, Mexico and Spain. Tommaso Di Noia's co-authors include Eugenio Di Sciascio, Francesco M. Donini, Yashar Deldjoo, Vito Claudio Ostuni, Marina Mongiello, Paolo Tomeo, Felice Antonio Merra, Simona Colucci, Vito Walter Anelli and Azzurra Ragone and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Tommaso Di Noia i

Fields of papers citing papers by Tommaso Di Noia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tommaso Di Noia. 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 Tommaso Di Noia. The network helps show where Tommaso Di Noia may publish in the future.

Countries citing papers authored by Tommaso Di Noia

Since Specialization
Citations

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