Massimo Lauria

32 papers and 141 indexed citations i.

About

Massimo Lauria is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Massimo Lauria has authored 32 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 12 papers in Artificial Intelligence and 6 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Massimo Lauria’s work include Combinatorial Optimization and Complexity Theory (17 papers), Advanced Graph Theory Research (13 papers) and semigroups and automata theory (9 papers). Massimo Lauria is often cited by papers focused on Combinatorial Optimization and Complexity Theory (17 papers), Advanced Graph Theory Research (13 papers) and semigroups and automata theory (9 papers). Massimo Lauria collaborates with scholars based in Italy, Sweden and Czechia. Massimo Lauria's co-authors include Nicola Galesi, Olaf Beyersdorff, Jakob Nordstr”öm, Albert Atserias, Yuval Filmus, Neil Thapen, Alexander Razborov, Noga Ron‐Zewi, Gianluca Del Rossi and Riccardo Silvestri and has published in prestigious journals such as Journal of the ACM, SIAM Journal on Computing and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Massimo Lauria i

Fields of papers citing papers by Massimo Lauria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Lauria

Since Specialization
Citations

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