Flavio Farroni

1.1k total citations
49 papers, 600 citations indexed

About

Flavio Farroni is a scholar working on Mechanical Engineering, Automotive Engineering and Civil and Structural Engineering. According to data from OpenAlex, Flavio Farroni has authored 49 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanical Engineering, 31 papers in Automotive Engineering and 17 papers in Civil and Structural Engineering. Recurrent topics in Flavio Farroni's work include Vehicle Dynamics and Control Systems (25 papers), Mechanical Engineering and Vibrations Research (16 papers) and Soil Mechanics and Vehicle Dynamics (13 papers). Flavio Farroni is often cited by papers focused on Vehicle Dynamics and Control Systems (25 papers), Mechanical Engineering and Vibrations Research (16 papers) and Soil Mechanics and Vehicle Dynamics (13 papers). Flavio Farroni collaborates with scholars based in Italy, Netherlands and Germany. Flavio Farroni's co-authors include Francesco Timpone, Aleksandr Sakhnevych, Michele Russo, Andrea Genovese, Riccardo Russo, Mario Terzo, Daniele Giordano, Ernesto Rocca, Nicola Pasquino and M. Ciavarella and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Flavio Farroni

45 papers receiving 562 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Flavio Farroni Italy 16 403 349 200 123 101 49 600
Francesco Timpone Italy 18 532 1.3× 455 1.3× 263 1.3× 124 1.0× 183 1.8× 66 767
Aleksandr Sakhnevych Italy 13 299 0.7× 239 0.7× 132 0.7× 61 0.5× 78 0.8× 42 410
Anahita Emami United States 9 177 0.4× 180 0.5× 116 0.6× 114 0.9× 31 0.3× 27 363
Marcus Klein Germany 12 175 0.4× 469 1.3× 108 0.5× 332 2.7× 33 0.3× 61 751
Jiusheng Bao China 12 365 0.9× 316 0.9× 79 0.4× 302 2.5× 58 0.6× 70 575
Alan L. Browne United States 13 104 0.3× 254 0.7× 247 1.2× 79 0.6× 32 0.3× 76 576
Junichi Hino Japan 10 182 0.5× 323 0.9× 376 1.9× 60 0.5× 201 2.0× 63 569
Wahyudin P. Syam United Kingdom 13 240 0.6× 419 1.2× 104 0.5× 46 0.4× 33 0.3× 40 666
W.K. Chiu Australia 9 112 0.3× 245 0.7× 121 0.6× 178 1.4× 18 0.2× 37 462
Tommy George United States 17 250 0.6× 677 1.9× 295 1.5× 510 4.1× 57 0.6× 84 991

Countries citing papers authored by Flavio Farroni

Since Specialization
Citations

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

Fields of papers citing papers by Flavio Farroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavio Farroni

This figure shows the co-authorship network connecting the top 25 collaborators of Flavio Farroni. A scholar is included among the top collaborators of Flavio Farroni 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 Flavio Farroni. Flavio Farroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Genovese, Andrea, et al.. (2025). Optical methodologies for the overall characterizations of non-pneumatic tires. Optics and Lasers in Engineering. 186. 108829–108829.
2.
Genovese, Andrea, et al.. (2025). A Comprehensive Review of Rubber Contact Mechanics and Friction Theories. Applied Sciences. 15(21). 11558–11558.
3.
4.
5.
Genovese, Andrea, et al.. (2024). Sport driving skills: A preliminary comparative study from outdoor testing sessions. Transportation Research Interdisciplinary Perspectives. 25. 101105–101105. 1 indexed citations
6.
Farroni, Flavio, Francesco Timpone, & Andrea Genovese. (2024). Analysis of the Scenarios of Use of an Innovative Technology for the Fast and Nondestructive Characterization of Viscoelastic Materials in the Tires Field. Sensors. 24(4). 1136–1136. 1 indexed citations
7.
Farroni, Flavio, et al.. (2023). Thermal model for bicycle tire internal temperature evaluation in various contact conditions. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1 indexed citations
8.
Genovese, Andrea, et al.. (2023). VESevo, an innovative device for non-destructive and smart viscoelastic characterization of tires compounds. AIP conference proceedings. 2872. 120007–120007. 1 indexed citations
9.
Adiletta, Giovanni, et al.. (2023). Tire Wear Sensitivity Analysis and Modeling Based on a Statistical Multidisciplinary Approach for High-Performance Vehicles. Lubricants. 11(7). 269–269. 3 indexed citations
10.
Farroni, Flavio, Aleksandr Sakhnevych, Francesco Timpone, & Andrea Genovese. (2023). Ultraviolet Light Radiation Effects on Viscoelastic Property Variation in Polymers. Journal of Materials Engineering and Performance. 32(9). 3896–3904. 1 indexed citations
11.
Cinque, Marcello, et al.. (2023). EMER-GO: real-time grip enhanced speed advisory for emergency intelligent transportation systems. 80. 40–47. 1 indexed citations
12.
Farroni, Flavio, et al.. (2022). Estimation of Vehicle Longitudinal Velocity with Artificial Neural Network. Sensors. 22(23). 9516–9516. 11 indexed citations
13.
Sakhnevych, Aleksandr, et al.. (2021). An ultrasound method for characterization of viscoelastic properties in frequency domain at small deformations. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 235(23). 7180–7191. 6 indexed citations
14.
Genovese, Andrea, et al.. (2020). Review on Friction and Wear Test Rigs: An Overview on the State of the Art in Tyre Tread Friction Evaluation. Lubricants. 8(9). 91–91. 23 indexed citations
15.
Genovese, Andrea, Flavio Farroni, A. Papangelo, & M. Ciavarella. (2019). A Discussion on Present Theories of Rubber Friction, with Particular Reference to Different Possible Choices of Arbitrary Roughness Cutoff Parameters. Lubricants. 7(10). 85–85. 21 indexed citations
16.
Farroni, Flavio, Nicola Pasquino, Ernesto Rocca, & Francesco Timpone. (2015). A comparison among different methods to estimate vehicle sideslip angle. World Congress on Engineering. 2218. 1084–1090. 4 indexed citations
17.
Farroni, Flavio, Aleksandr Sakhnevych, & Francesco Timpone. (2015). An Evolved Version of Thermo Racing Tyre for Real Time Applications. World Congress on Engineering. 1159–1164. 10 indexed citations
18.
Calabrese, Francesco, Flavio Farroni, & Francesco Timpone. (2013). A Flexible Ring Tyre Model for Normal Interaction. International Review on Modelling and Simulations (IREMOS). 6(4). 1301–1306. 9 indexed citations
19.
Farroni, Flavio, Riccardo Russo, & Francesco Timpone. (2013). Theoretical and Experimental Estimation of the Hysteretic Component of Friction for a Visco-Elastic Material Sliding on a Rigid Rough Surface. International Review on Modelling and Simulations (IREMOS). 6(3). 1023–1030. 2 indexed citations
20.
Farroni, Flavio, Ernesto Rocca, & Francesco Timpone. (2013). A Full Scale Test Rig to Characterize Pneumatic Tyre Mechanical Behaviour. International Review of Mechanical Engineering (IREME). 7(5). 841–846. 9 indexed citations

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.

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