Mario Innocenti

116 papers and 1.5k indexed citations i.

About

Mario Innocenti is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mario Innocenti has authored 116 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Aerospace Engineering, 47 papers in Control and Systems Engineering and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mario Innocenti’s work include Robotic Path Planning Algorithms (28 papers), Spacecraft Dynamics and Control (26 papers) and Guidance and Control Systems (25 papers). Mario Innocenti is often cited by papers focused on Robotic Path Planning Algorithms (28 papers), Spacecraft Dynamics and Control (26 papers) and Guidance and Control Systems (25 papers). Mario Innocenti collaborates with scholars based in Italy, United States and United Kingdom. Mario Innocenti's co-authors include Lorenzo Pollini, Fabrizio Giulietti, Marcello Napolitano, Marcello R. Napolitano, Giampiero Campa, José Luis Casanova Roque, Parviz Famouri, John E. Cochran, Fabio Pasqualetti and Francesco Nasuti and has published in prestigious journals such as Automatica, IEEE Transactions on Control Systems Technology and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Co-authorship network of co-authors of Mario Innocenti i

Fields of papers citing papers by Mario Innocenti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Innocenti

Since Specialization
Citations

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