Maria Chiara Meo

30 papers and 167 indexed citations i.

About

Maria Chiara Meo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Maria Chiara Meo has authored 30 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 6 papers in Computer Networks and Communications. Recurrent topics in Maria Chiara Meo’s work include Logic, programming, and type systems (24 papers), Logic, Reasoning, and Knowledge (16 papers) and Formal Methods in Verification (14 papers). Maria Chiara Meo is often cited by papers focused on Logic, programming, and type systems (24 papers), Logic, Reasoning, and Knowledge (16 papers) and Formal Methods in Verification (14 papers). Maria Chiara Meo collaborates with scholars based in Italy, The Netherlands and Belgium. Maria Chiara Meo's co-authors include Maurizio Gabbrielli, Giorgio Levi, Frank S. de Boer, Annalisa Bossi, Giuliana Vitiello, Sandro Etalle, M. Ajmone Marsan, Francesca Scozzari, Jon Sneyers and Stefano Bistarelli and has published in prestigious journals such as Future Generation Computer Systems, Theoretical Computer Science and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Co-authorship network of co-authors of Maria Chiara Meo i

Fields of papers citing papers by Maria Chiara Meo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Chiara Meo. 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 Maria Chiara Meo. The network helps show where Maria Chiara Meo may publish in the future.

Countries citing papers authored by Maria Chiara Meo

Since Specialization
Citations

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