Nicola Prezza

29 papers and 231 indexed citations i.

About

Nicola Prezza is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Nicola Prezza has authored 29 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Molecular Biology and 12 papers in Computational Theory and Mathematics. Recurrent topics in Nicola Prezza’s work include Algorithms and Data Compression (24 papers), semigroups and automata theory (11 papers) and Network Packet Processing and Optimization (8 papers). Nicola Prezza is often cited by papers focused on Algorithms and Data Compression (24 papers), semigroups and automata theory (11 papers) and Network Packet Processing and Optimization (8 papers). Nicola Prezza collaborates with scholars based in Italy, Chile and Denmark. Nicola Prezza's co-authors include Gonzalo Navarro, Travis Gagie, Alberto Policriti, Giovanna Rosone, Tomasz Kociumaka, Nadia Pisanti, Marinella Sciortino, Max Käller, Francesco Vezzi and Philip Bille and has published in prestigious journals such as IEEE Transactions on Information Theory, BMC Bioinformatics and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Nicola Prezza i

Fields of papers citing papers by Nicola Prezza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nicola Prezza

Since Specialization
Citations

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