Stefano Scalzi
- Automotive Engineering top 2%
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Civil and Structural Engineering
- Co-authors
- R. MarinoMariana NettoCristiano Maria VerrelliP. TomeiG. OrlandoAndré Benine-NetoSaïd MammarStefano Bifaretti
- Topics
- Vehicle Dynamics and Control Systems (15 papers)Real-time simulation and control systems (6 papers)Mechanical Engineering and Vibrations Research (6 papers)
- Cited by
- Automotive EngineeringControl and Systems EngineeringComplementary and alternative medicine
- Journals
- IEEE Transactions on Biomedical EngineeringIEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Control Systems Technology
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Stefano Scalzi
22 papers receiving 670 citations
Peers
Comparison fields: 5 of 51
- Automotive Engineering 511
- Control and Systems Engineering 450
- Mechanical Engineering 165
- Computer Vision and Pattern Recognition 80
- Civil and Structural Engineering 61
Countries citing papers authored by Stefano Scalzi
This map shows the geographic impact of Stefano Scalzi'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 Stefano Scalzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Scalzi more than expected).
Fields of papers citing papers by Stefano Scalzi
This network shows the impact of papers produced by Stefano Scalzi. 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 Stefano Scalzi. The network helps show where Stefano Scalzi may publish in the future.
Co-authorship network of co-authors of Stefano Scalzi
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Scalzi. A scholar is included among the top collaborators of Stefano Scalzi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefano Scalzi. Stefano Scalzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 13 | |
| 3 | 21 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 36 | |
| 8 | 29 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 17 | |
| 12 | 40 | |
| 13 | 322 | |
| 14 | 45 | |
| 15 | 16 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 36 | |
| 20 | 6 |
About Stefano Scalzi
Stefano Scalzi is a scholar working on Automotive Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 22 papers that have together received 691 indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (15 papers), Real-time simulation and control systems (6 papers) and Mechanical Engineering and Vibrations Research (6 papers). The work is most often cited by research in Automotive Engineering (511 citations), Control and Systems Engineering (450 citations) and Complementary and alternative medicine (40 citations). Stefano Scalzi has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include R. Marino, Mariana Netto, Cristiano Maria Verrelli, P. Tomei, G. Orlando, André Benine-Neto, Saïd Mammar, Stefano Bifaretti, Michele Paradiso and Benoît Lusetti. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Control Systems Technology.
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.