Pasquale De Meo

85 papers and 1.7k indexed citations i.

About

Pasquale De Meo is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Pasquale De Meo has authored 85 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 34 papers in Statistical and Nonlinear Physics and 32 papers in Computer Networks and Communications. Recurrent topics in Pasquale De Meo’s work include Complex Network Analysis Techniques (34 papers), Advanced Graph Neural Networks (13 papers) and Peer-to-Peer Network Technologies (12 papers). Pasquale De Meo is often cited by papers focused on Complex Network Analysis Techniques (34 papers), Advanced Graph Neural Networks (13 papers) and Peer-to-Peer Network Technologies (12 papers). Pasquale De Meo collaborates with scholars based in Italy, China and United States. Pasquale De Meo's co-authors include Giacomo Fiumara, Emilio Ferrara, Domenico Ursino, Alessandro Provetti, Domenico Rosaci, Giovanni Quattrone, Giuseppe M. L. Sarné, Salvatore Catanese, Robert Baumgartner and Giorgio Terracina and has published in prestigious journals such as PLoS ONE, Communications of the ACM and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Pasquale De Meo i

Fields of papers citing papers by Pasquale De Meo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pasquale De Meo

Since Specialization
Citations

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