Raffaello Camoriano

18 papers and 174 indexed citations i.

About

Raffaello Camoriano is a scholar working on Artificial Intelligence, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Raffaello Camoriano has authored 18 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Control and Systems Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Raffaello Camoriano’s work include Robot Manipulation and Learning (6 papers), Robotic Locomotion and Control (5 papers) and Machine Learning and ELM (3 papers). Raffaello Camoriano is often cited by papers focused on Robot Manipulation and Learning (6 papers), Robotic Locomotion and Control (5 papers) and Machine Learning and ELM (3 papers). Raffaello Camoriano collaborates with scholars based in Italy, United States and United Kingdom. Raffaello Camoriano's co-authors include Lorenzo Rosasco, Alessandro Rudi, Mattia Zorzi, Alessandro Chiuso, Diego Romeres, Junhong Lin, Silvio Traversaro, Daniele Pucci, Carlo Ciliberto and Daniele Calandriello and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Control Systems Technology and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Raffaello Camoriano i

Fields of papers citing papers by Raffaello Camoriano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raffaello Camoriano

Since Specialization
Citations

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