Ugo Vaccaro

79 papers and 1.4k indexed citations i.

About

Ugo Vaccaro is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Ugo Vaccaro has authored 79 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 27 papers in Computational Theory and Mathematics and 26 papers in Computer Networks and Communications. Recurrent topics in Ugo Vaccaro’s work include Machine Learning and Algorithms (17 papers), Cryptography and Data Security (13 papers) and Algorithms and Data Compression (12 papers). Ugo Vaccaro is often cited by papers focused on Machine Learning and Algorithms (17 papers), Cryptography and Data Security (13 papers) and Algorithms and Data Compression (12 papers). Ugo Vaccaro collaborates with scholars based in Italy, United States and Canada. Ugo Vaccaro's co-authors include Luisa Gargano, Alfredo De Santis, Carlo Blundo, Annalisa De Bonis, Ferdinando Cicalese, Renato M. Capocelli, János Körner, Adele A. Rescigno, Leszek Gąsieniec and D. R. Stinson and has published in prestigious journals such as IEEE Transactions on Information Theory, Information Sciences and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Ugo Vaccaro i

Fields of papers citing papers by Ugo Vaccaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ugo Vaccaro

Since Specialization
Citations

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