Francesco Ricca

60 papers and 1.4k indexed citations i.

About

Francesco Ricca is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Francesco Ricca has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 7 papers in Computer Networks and Communications. Recurrent topics in Francesco Ricca’s work include Logic, Reasoning, and Knowledge (53 papers), Multi-Agent Systems and Negotiation (42 papers) and Logic, programming, and type systems (23 papers). Francesco Ricca is often cited by papers focused on Logic, Reasoning, and Knowledge (53 papers), Multi-Agent Systems and Negotiation (42 papers) and Logic, programming, and type systems (23 papers). Francesco Ricca collaborates with scholars based in Italy, Austria and United Kingdom. Francesco Ricca's co-authors include Giovanni Amendola, Mirosław Truszczyński, Marco Maratea, Nicola Leone, Martin Gebser, Francesco Calimeri, Carmine Dodaro, Mario Alviano, Giovambattista Ianni and Wolfgang Faber and has published in prestigious journals such as Expert Systems with Applications, Artificial Intelligence and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Francesco Ricca i

Fields of papers citing papers by Francesco Ricca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Ricca

Since Specialization
Citations

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