Massimo Giulietti

About

Massimo Giulietti is a scholar working on Artificial Intelligence, Discrete Mathematics and Combinatorics and Geometry and Topology. According to data from OpenAlex, Massimo Giulietti has authored 68 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 41 papers in Discrete Mathematics and Combinatorics and 34 papers in Geometry and Topology. Recurrent topics in Massimo Giulietti’s work include Coding theory and cryptography (52 papers), Finite Group Theory Research (40 papers) and Algebraic Geometry and Number Theory (32 papers). Massimo Giulietti is often cited by papers focused on Coding theory and cryptography (52 papers), Finite Group Theory Research (40 papers) and Algebraic Geometry and Number Theory (32 papers). Massimo Giulietti collaborates with scholars based in Italy, Russia and Brazil. Massimo Giulietti's co-authors include Gábor Korchmáros, Daniele Bartoli, Fernanda Pambianco, Stefano Marcugini, Giovanni Zini, Alexander A. Davydov, Fernando Torres, Simon R. Blackburn⋆, Olga Polverino and Giuseppe Marino and has published in prestigious journals such as IEEE Transactions on Information Theory, Transactions of the American Mathematical Society and Advances in Mathematics.

In The Last Decade

Co-authorship network of co-authors of Massimo Giulietti i

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Fields of papers citing papers by Massimo Giulietti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Giulietti

Since Specialization

Citations

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