Flora Amato

62 papers and 644 indexed citations i.

About

Flora Amato is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Flora Amato has authored 62 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 27 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Flora Amato’s work include Semantic Web and Ontologies (17 papers), QoS-Aware Web Services Composition and Semantic Matching (12 papers) and Cloud Computing and Resource Management (7 papers). Flora Amato is often cited by papers focused on Semantic Web and Ontologies (17 papers), QoS-Aware Web Services Composition and Semantic Matching (12 papers) and Cloud Computing and Resource Management (7 papers). Flora Amato collaborates with scholars based in Italy, Spain and Japan. Flora Amato's co-authors include Vincenzo Moscato, Antonio Picariello, Francesco Moscato, Francesco Piccialli, Antonino Mazzeo, Giovanni Cozzolino, Nicola Mazzocca, Giancarlo Sperlì, Aniello Castiglione and Francesco Colace and has published in prestigious journals such as Computers in Human Behavior, Neurocomputing and IEEE Transactions on Industrial Informatics.

In The Last Decade

Co-authorship network of co-authors of Flora Amato i

Fields of papers citing papers by Flora Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Flora Amato

Since Specialization
Citations

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