Eugenio Moggi

30 papers and 1.0k indexed citations i.

About

Eugenio Moggi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Eugenio Moggi has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 7 papers in Computer Networks and Communications. Recurrent topics in Eugenio Moggi’s work include Logic, programming, and type systems (22 papers), Logic, Reasoning, and Knowledge (15 papers) and Formal Methods in Verification (7 papers). Eugenio Moggi is often cited by papers focused on Logic, programming, and type systems (22 papers), Logic, Reasoning, and Knowledge (15 papers) and Formal Methods in Verification (7 papers). Eugenio Moggi collaborates with scholars based in Italy, United Kingdom and United States. Eugenio Moggi's co-authors include Marcelo Fiore, Davide Sangiorgi, John C. Mitchell, G. Longo, Amr Sabry, Tim Sheard, C. Barry Jay, Cristiano Calcagno, Rosario Pugliese and Gian-Luigi Ferrari and has published in prestigious journals such as Theoretical Computer Science, Journal of Symbolic Logic and Information and Computation.

In The Last Decade

Co-authorship network of co-authors of Eugenio Moggi i

Fields of papers citing papers by Eugenio Moggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eugenio Moggi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025