Mario Zanon
Impact in
- Control and Systems Engineering top 0.5%
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Traffic control and management
- Control Systems and Identification
- Adaptive Control of Nonlinear Systems
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety
- Vehicle Dynamics and Control Systems
Papers in
-
- Advanced Control Systems Optimization 49
- Fault Detection and Control Systems 21
- Control Systems and Identification 17
- Traffic control and management 14
-
- Transportation Planning and Optimization 11
- Co-authors
- Sébastien GrosMoritz DiehlPaolo FalconeRien QuirynenAlberto BemporadRobert HultJanick V. FraschMilan Vukov
In The Last Decade
Mario Zanon
82 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Control and Systems Engineering 1.6k
- Automotive Engineering 628
- Transportation 101
- Numerical Analysis 81
- Computer Vision and Pattern Recognition 291
Countries citing papers authored by Mario Zanon
This map shows the geographic impact of Mario Zanon'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 Zanon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Zanon more than expected).
Fields of papers citing papers by Mario Zanon
This network shows the impact of papers produced by Mario Zanon. 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 Zanon. The network helps show where Mario Zanon may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Zanon, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 31 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 36 | |
| 13 | 2018 | 20 | |
| 14 | 2018 | 5 | |
| 15 | 2017 | 63 | |
| 16 | 2015 | 14 | |
| 17 | 2015 | 89 | |
| 18 | 2014 | 38 | |
| 19 | 2013 | 148 | |
| 20 | 2012 | 18 |
About Mario Zanon
Mario Zanon is a scholar working on Control and Systems Engineering, Transportation, Automotive Engineering, Numerical Analysis and Computational Theory and Mathematics, having authored 87 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (49 papers), Fault Detection and Control Systems (21 papers), Control Systems and Identification (17 papers), Traffic control and management (14 papers), Autonomous Vehicle Technology and Safety (13 papers), Transportation Planning and Optimization (11 papers), Spacecraft Dynamics and Control (9 papers) and Aerospace Engineering and Energy Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (1.6k citations), Automotive Engineering (628 citations), Transportation (101 citations), Numerical Analysis (81 citations) and Computer Vision and Pattern Recognition (291 citations). Mario Zanon has collaborated with scholars based in Italy, Sweden and Germany. Frequent co-authors include Sébastien Gros, Moritz Diehl, Paolo Falcone, Rien Quirynen, Alberto Bemporad, Robert Hult, Janick V. Frasch, Milan Vukov, Robin Verschueren and Martin Diehl. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Control Systems Letters, IEEE Transactions on Control Systems Technology, Automatica and Optimal Control Applications and Methods.
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.