Matteo Gagliolo

About

Matteo Gagliolo is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Matteo Gagliolo has authored 12 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 3 papers in Social Psychology. Recurrent topics in Matteo Gagliolo’s work include Machine Learning and Algorithms (3 papers), Reinforcement Learning in Robotics (3 papers) and Advanced Bandit Algorithms Research (3 papers). Matteo Gagliolo is often cited by papers focused on Machine Learning and Algorithms (3 papers), Reinforcement Learning in Robotics (3 papers) and Advanced Bandit Algorithms Research (3 papers). Matteo Gagliolo collaborates with scholars based in Belgium, Switzerland and The Netherlands. Matteo Gagliolo's co-authors include Jürgen Schmidhuber, Daan Wierstra, Faustino Gomez, Geeske Scholz, Marco Dorigo, Raffaele Vacca, Dirk Jacobs, Arne Brutschy, Giacomo Solano and Mauro Birattari and has published in prestigious journals such as Neural Computation, British Journal of Social Psychology and Cultural Diversity & Ethnic Minority Psychology.

In The Last Decade

Co-authorship network of co-authors of Matteo Gagliolo i

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Fields of papers citing papers by Matteo Gagliolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matteo Gagliolo

Since Specialization

Citations

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