Luca Mariot

28 papers and 223 indexed citations i.

About

Luca Mariot is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Luca Mariot has authored 28 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 10 papers in Molecular Biology and 10 papers in Computational Theory and Mathematics. Recurrent topics in Luca Mariot’s work include Coding theory and cryptography (16 papers), Evolutionary Algorithms and Applications (9 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Luca Mariot is often cited by papers focused on Coding theory and cryptography (16 papers), Evolutionary Algorithms and Applications (9 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Luca Mariot collaborates with scholars based in The Netherlands, Italy and Croatia. Luca Mariot's co-authors include Luca Manzoni, Stjepan Picek, Alberto Leporati, Domagoj Jakobović, Marco S. Nobile, Andrea Tangherloni, Mauro Castelli, Eva Tuba, Lejla Batina and Guilherme Perin and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

In The Last Decade

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

Fields of papers citing papers by Luca Mariot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luca Mariot

Since Specialization
Citations

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