M. Canale
- Automotive Engineering top 1%
- Vehicle Dynamics and Control Systems 27
- Autonomous Vehicle Technology and Safety 8
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- Advanced Control Systems Optimization 36
- Control Systems and Identification 30
- Fault Detection and Control Systems 26
- Real-time simulation and control systems 11
- Aerospace Engineering top 5%
- Aerospace Engineering and Energy Systems 9
- Mechanical Engineering top 5%
- Hydraulic and Pneumatic Systems 19
- Co-authors
- Lorenzo FagianoM. MilaneseMario MilaneseCarlo NovaraClaudio VecchioAntonella FerraraS. MalanMariano Giuseppe Ippolito
- Journals
- Control Engineering Practice (4 papers)IEEE Transactions on Control Systems Technology (3 papers)International Journal of Robust and Nonlinear Control (3 papers)
- Partner nations
- ItalySwitzerlandSweden
In The Last Decade
M. Canale
81 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 73
- Automotive Engineering 595
- Control and Systems Engineering 751
- Aerospace Engineering 403
- Civil and Structural Engineering 308
- Mechanical Engineering 351
Countries citing papers authored by M. Canale
This map shows the geographic impact of M. Canale'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 M. Canale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Canale more than expected).
Fields of papers citing papers by M. Canale
This network shows the impact of papers produced by M. Canale. 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 M. Canale. The network helps show where M. Canale may publish in the future.
Co-authorship network
The 22 scholars most cited alongside M. Canale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2017 | 7 | |
| 5 | Model Predictive Control Education using a Rapid Prototyping Industrial Platform | 2014 | 2 |
| 6 | 2014 | 1 | |
| 7 | 2014 | 2 | |
| 8 | 2011 | 12 | |
| 9 | 2011 | 7 | |
| 10 | 2010 | 2 | |
| 11 | 2009 | 148 | |
| 12 | Loop-shaping Design with Constant Magnitude Loci in Control Education* | 2008 | 3 |
| 13 | 2008 | 6 | |
| 14 | 2008 | 17 | |
| 15 | 2007 | 5 | |
| 16 | 2007 | 63 | |
| 17 | 2007 | 2 | |
| 18 | 2005 | 0 | |
| 19 | 1999 | 3 | |
| 20 | 1997 | 7 |
About M. Canale
M. Canale is a scholar working on Automotive Engineering, Control and Systems Engineering, Hardware and Architecture, Mechanical Engineering and Civil and Structural Engineering, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (36 papers), Control Systems and Identification (30 papers), Vehicle Dynamics and Control Systems (27 papers), Fault Detection and Control Systems (26 papers), Hydraulic and Pneumatic Systems (19 papers), Real-time simulation and control systems (11 papers), Aerospace Engineering and Energy Systems (9 papers) and Autonomous Vehicle Technology and Safety (8 papers). The work is most often cited by research in Automotive Engineering (595 citations), Control and Systems Engineering (751 citations), Aerospace Engineering (403 citations), Civil and Structural Engineering (308 citations) and Mechanical Engineering (351 citations). M. Canale has collaborated with scholars based in Italy, Switzerland and Sweden. Frequent co-authors include Lorenzo Fagiano, M. Milanese, Mario Milanese, Carlo Novara, Claudio Vecchio, Antonella Ferrara, S. Malan, Mariano Giuseppe Ippolito, V. Cerone and Giovanni Bracco. Their work appears in journals such as Control Engineering Practice, IEEE Transactions on Control Systems Technology, International Journal of Robust and Nonlinear Control, IEEE Transactions on Automatic Control and Automatica.
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.