Valeria Fionda

28 papers and 189 indexed citations i.

About

Valeria Fionda is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Valeria Fionda has authored 28 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 6 papers in Signal Processing. Recurrent topics in Valeria Fionda’s work include Semantic Web and Ontologies (15 papers), Data Management and Algorithms (6 papers) and Advanced Database Systems and Queries (5 papers). Valeria Fionda is often cited by papers focused on Semantic Web and Ontologies (15 papers), Data Management and Algorithms (6 papers) and Advanced Database Systems and Queries (5 papers). Valeria Fionda collaborates with scholars based in Italy, Chile and Germany. Valeria Fionda's co-authors include Giuseppe Pirrò, Gianluigi Greco, Claudio Gutiérrez, Luigi Palopoli, Mariano P. Consens, Simona Panni, Simona E. Rombo, Melisachew Wudage Chekol, Antonella Guzzo and Giovanni Grasso and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Co-authorship network of co-authors of Valeria Fionda i

Fields of papers citing papers by Valeria Fionda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Valeria Fionda

Since Specialization
Citations

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