Alessandro De Luca

21 papers and 165 indexed citations i.

About

Alessandro De Luca is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Alessandro De Luca has authored 21 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 19 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Alessandro De Luca’s work include semigroups and automata theory (21 papers), Algorithms and Data Compression (10 papers) and Natural Language Processing Techniques (9 papers). Alessandro De Luca is often cited by papers focused on semigroups and automata theory (21 papers), Algorithms and Data Compression (10 papers) and Natural Language Processing Techniques (9 papers). Alessandro De Luca collaborates with scholars based in Italy, France and Canada. Alessandro De Luca's co-authors include Luca Q. Zamboni, Amy Glen, Aldo de Luca, Gabriele Fici and Christophe Reutenauer and has published in prestigious journals such as Theoretical Computer Science, European Journal of Combinatorics and Advances in Applied Mathematics.

In The Last Decade

Co-authorship network of co-authors of Alessandro De Luca i

Fields of papers citing papers by Alessandro De Luca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alessandro De Luca

Since Specialization
Citations

This map shows the geographic impact of Alessandro De Luca'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 Alessandro De Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro De Luca 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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2025