Matteo Rubagotti

61 papers and 1.3k indexed citations i.

About

Matteo Rubagotti is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Matteo Rubagotti has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Control and Systems Engineering, 11 papers in Biomedical Engineering and 8 papers in Mechanical Engineering. Recurrent topics in Matteo Rubagotti’s work include Advanced Control Systems Optimization (31 papers), Adaptive Control of Nonlinear Systems (18 papers) and Fault Detection and Control Systems (15 papers). Matteo Rubagotti is often cited by papers focused on Advanced Control Systems Optimization (31 papers), Adaptive Control of Nonlinear Systems (18 papers) and Fault Detection and Control Systems (15 papers). Matteo Rubagotti collaborates with scholars based in Kazakhstan, Italy and United Kingdom. Matteo Rubagotti's co-authors include Antonella Ferrara, Gian Paolo Incremona, Davide M. Raimondo, Alberto Bemporad, Antonio Estrada, Fernando Castaños, Leonid Fridman, Lalo Magni, Almas Shintemirov and Hüseyin Atakan Varol and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

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

Fields of papers citing papers by Matteo Rubagotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matteo Rubagotti

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025