Claudia d’Amato

44 papers and 730 indexed citations i.

About

Claudia d’Amato is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Claudia d’Amato has authored 44 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 10 papers in Information Systems and 10 papers in Signal Processing. Recurrent topics in Claudia d’Amato’s work include Semantic Web and Ontologies (32 papers), Rough Sets and Fuzzy Logic (9 papers) and Data Management and Algorithms (9 papers). Claudia d’Amato is often cited by papers focused on Semantic Web and Ontologies (32 papers), Rough Sets and Fuzzy Logic (9 papers) and Data Management and Algorithms (9 papers). Claudia d’Amato collaborates with scholars based in Italy, Germany and United Kingdom. Claudia d’Amato's co-authors include Nicola Fanizzi, Floriana Esposito, Antoine Zimmermann, Steffen Staab, Aidan Hogan, Juan Sequeda, Michael Cochez, Sabrina Kirrane, Sebastian Neumaier and José Emilio Labra Gayo and has published in prestigious journals such as ACM Computing Surveys, Future Generation Computer Systems and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Claudia d’Amato i

Fields of papers citing papers by Claudia d’Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia d’Amato. 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 Claudia d’Amato. The network helps show where Claudia d’Amato may publish in the future.

Countries citing papers authored by Claudia d’Amato

Since Specialization
Citations

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