Fabio Daolio

21 papers and 284 indexed citations i.

About

Fabio Daolio is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Sociology and Political Science. According to data from OpenAlex, Fabio Daolio has authored 21 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 3 papers in Sociology and Political Science. Recurrent topics in Fabio Daolio’s work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Fabio Daolio is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Fabio Daolio collaborates with scholars based in Japan, United Kingdom and Switzerland. Fabio Daolio's co-authors include Stefano Cagnoni, Luca Mussi, Marco Tomassini, Hernán Aguirre, Kiyoshi Tanaka, Sebástien Vérel, Gabriela Ochoa, Arnaud Liefooghe, Eelke M. Heemskerk and Nadarajen Veerapen and has published in prestigious journals such as PLoS ONE, Information Sciences and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Co-authorship network of co-authors of Fabio Daolio i

Fields of papers citing papers by Fabio Daolio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabio Daolio

Since Specialization
Citations

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