Matteo Leonetti

37 papers and 448 indexed citations i.

About

Matteo Leonetti is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Matteo Leonetti has authored 37 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Control and Systems Engineering. Recurrent topics in Matteo Leonetti’s work include Reinforcement Learning in Robotics (15 papers), Robot Manipulation and Learning (10 papers) and Robotic Path Planning Algorithms (7 papers). Matteo Leonetti is often cited by papers focused on Reinforcement Learning in Robotics (15 papers), Robot Manipulation and Learning (10 papers) and Robotic Path Planning Algorithms (7 papers). Matteo Leonetti collaborates with scholars based in United Kingdom, Italy and United States. Matteo Leonetti's co-authors include Peter Stone, Jivko Sinapov, Luca Iocchi, Mehmet R. Doğar, Sanmit Narvekar, Piyush Khandelwal, Fangkai Yang, Petar Kormushev, Alejandro F. Frangi and Pietro Valdastri and has published in prestigious journals such as PLoS ONE, IEEE Access and Artificial Intelligence.

In The Last Decade

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

Fields of papers citing papers by Matteo Leonetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matteo Leonetti

Since Specialization
Citations

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