L Cantone
Impact in
-
- Railway Systems and Energy Efficiency
- General Engineering top 10%
Papers in
-
- Railway Engineering and Dynamics 32
- Electrical Contact Performance and Analysis 7
-
- Railway Systems and Energy Efficiency 15
- Co-authors
- Gabriele Arcidiacono (8 shared papers)Vincenzo Vullo (1 shared paper)Roberto Verzicco (2 shared papers)Matteo Magelli (1 shared paper)Nicola Bosso (1 shared paper)Leonardo Vita (4 shared papers)Vincenzo Vullo (2 shared papers)Francesco Caputo (2 shared papers)
In The Last Decade
L Cantone
35 papers receiving 241 citations
Peers
Comparison fields: 5 of 39
- Industrial and Manufacturing Engineering 114
- General Engineering 10
- Mechanical Engineering 209
- Automotive Engineering 60
- Statistics, Probability and Uncertainty 15
Countries citing papers authored by L Cantone
This map shows the geographic impact of L Cantone'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 L Cantone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Cantone more than expected).
Fields of papers citing papers by L Cantone
This network shows the impact of papers produced by L Cantone. 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 L Cantone. The network helps show where L Cantone may publish in the future.
Co-authors
The 17 scholars most cited alongside L Cantone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 66 | |
| 2 | 2009 | 39 | |
| 3 | 2022 | 24 | |
| 4 | 2018 | 17 | |
| 5 | 2016 | 17 | |
| 6 | 2018 | 12 | |
| 7 | 2020 | 12 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 7 | |
| 10 | TrainDynamic Simulation - A new Approach | 2008 | 7 |
| 11 | 2025 | 5 | |
| 12 | 2012 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 3 | |
| 15 | A simplified model of wheel-rail contact geometry | 2009 | 3 |
| 16 | TrainDy, new UIC simulator for longitudinal dynamics of trains | 2008 | 3 |
| 17 | Modellazione dinamica disaccoppiata dei respingenti ferroviari | 2009 | 3 |
| 18 | Effect of train longitudinal dynamics on wheel-rail forces | 2009 | 3 |
| 19 | 2018 | 3 | |
| 20 | 2022 | 2 |
About L Cantone
L Cantone is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Automotive Engineering, Civil and Structural Engineering and Strategy and Management, having authored 44 papers that have together received 265 indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (32 papers), Railway Systems and Energy Efficiency (15 papers), Electrical Contact Performance and Analysis (7 papers), Brake Systems and Friction Analysis (4 papers), Probabilistic and Robust Engineering Design (4 papers), Engineering Applied Research (4 papers), Aerodynamics and Fluid Dynamics Research (3 papers) and Transport and Economic Policies (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (114 citations), General Engineering (10 citations), Mechanical Engineering (209 citations), Automotive Engineering (60 citations) and Statistics, Probability and Uncertainty (15 citations). L Cantone has collaborated with scholars based in Italy, Germany and China. Frequent co-authors include Gabriele Arcidiacono, Vincenzo Vullo, Roberto Verzicco, Matteo Magelli, Nicola Bosso, Leonardo Vita, Vincenzo Vullo, Francesco Caputo, Vincenzo Vullo and P Salvini. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit, Tribology International, Applied Sciences, Applied Stochastic Models in Business and Industry and Sustainability.
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.