Luca Trevisan

103 papers and 1.9k indexed citations i.

About

Luca Trevisan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Luca Trevisan has authored 103 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computational Theory and Mathematics, 47 papers in Artificial Intelligence and 24 papers in Computer Networks and Communications. Recurrent topics in Luca Trevisan’s work include Combinatorial Optimization and Complexity Theory (55 papers), Advanced Graph Theory Research (37 papers) and Cryptography and Data Security (25 papers). Luca Trevisan is often cited by papers focused on Combinatorial Optimization and Complexity Theory (55 papers), Advanced Graph Theory Research (37 papers) and Cryptography and Data Security (25 papers). Luca Trevisan collaborates with scholars based in United States, Italy and Israel. Luca Trevisan's co-authors include Salil Vadhan, Madhu Sudan, Shayan Oveis Gharan, Oded Goldreich, James R. Lee, David P. Williamson, Andrea Clementi, Alex Samorodnitsky, Riccardo Silvestri and Pierluigi Crescenzi and has published in prestigious journals such as Journal of the ACM, SIAM Journal on Computing and Bulletin of the American Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of Luca Trevisan i

Fields of papers citing papers by Luca Trevisan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luca Trevisan

Since Specialization
Citations

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