Andrea De Lorenzo

About

Andrea De Lorenzo is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Andrea De Lorenzo has authored 44 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Information Systems and 8 papers in Computer Networks and Communications. Recurrent topics in Andrea De Lorenzo’s work include Evolutionary Algorithms and Applications (13 papers), Natural Language Processing Techniques (6 papers) and Algorithms and Data Compression (5 papers). Andrea De Lorenzo is often cited by papers focused on Evolutionary Algorithms and Applications (13 papers), Natural Language Processing Techniques (6 papers) and Algorithms and Data Compression (5 papers). Andrea De Lorenzo collaborates with scholars based in Italy, Brazil and Slovenia. Andrea De Lorenzo's co-authors include Eric Medvet, Alberto Bartoli, Francesco Mercaldo, Gerardo Canfora, Corrado Aaron Visaggio, Antonella Santone, Fabio Martinelli, Stefano Seriani, Luca Manzoni and Mauro Castelli and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and The American Journal of Medicine.

In The Last Decade

Co-authorship network of co-authors of Andrea De Lorenzo i

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Fields of papers citing papers by Andrea De Lorenzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea De Lorenzo

Since Specialization

Citations

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