Stefano Arrigoni

492 total citations
50 papers, 262 citations indexed

About

Stefano Arrigoni is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Stefano Arrigoni has authored 50 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Automotive Engineering, 17 papers in Computer Vision and Pattern Recognition and 16 papers in Control and Systems Engineering. Recurrent topics in Stefano Arrigoni's work include Autonomous Vehicle Technology and Safety (24 papers), Robotic Path Planning Algorithms (11 papers) and Vehicle Dynamics and Control Systems (8 papers). Stefano Arrigoni is often cited by papers focused on Autonomous Vehicle Technology and Safety (24 papers), Robotic Path Planning Algorithms (11 papers) and Vehicle Dynamics and Control Systems (8 papers). Stefano Arrigoni collaborates with scholars based in Italy, Switzerland and China. Stefano Arrigoni's co-authors include Federico Cheli, Francesco Braghin, Michele Vignati, Matteo Matteucci, Edoardo Sabbioni, Tao Zhang, Davide Tarsitano, Filippo Montevecchi, Daniela Origgi and G. Rinaldi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Transportation Research Part C Emerging Technologies.

In The Last Decade

Stefano Arrigoni

46 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Arrigoni Italy 9 147 77 70 43 37 50 262
Woongsun Jeon United States 10 101 0.7× 106 1.4× 38 0.5× 38 0.9× 45 1.2× 25 276
Ngoc-Tam Bui Vietnam 10 52 0.4× 73 0.9× 64 0.9× 50 1.2× 49 1.3× 55 308
Liangjun Zhang China 9 64 0.4× 51 0.7× 114 1.6× 75 1.7× 102 2.8× 30 290
Xiaomin Lian China 11 132 0.9× 87 1.1× 16 0.2× 38 0.9× 50 1.4× 43 322
Daniel Göhring Germany 6 63 0.4× 37 0.5× 73 1.0× 83 1.9× 46 1.2× 13 203
Bo Fu United States 9 77 0.5× 57 0.7× 22 0.3× 204 4.7× 70 1.9× 19 392
Byungjae Park South Korea 9 43 0.3× 47 0.6× 160 2.3× 139 3.2× 52 1.4× 32 279
Binh-Minh Nguyen Japan 10 230 1.6× 189 2.5× 44 0.6× 41 1.0× 73 2.0× 69 406
Lingyu Meng China 9 112 0.8× 57 0.7× 23 0.3× 19 0.4× 107 2.9× 15 286
Rongjun Ding China 13 246 1.7× 264 3.4× 56 0.8× 48 1.1× 190 5.1× 47 551

Countries citing papers authored by Stefano Arrigoni

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Arrigoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Arrigoni

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Arrigoni. A scholar is included among the top collaborators of Stefano Arrigoni 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 Arrigoni. Stefano Arrigoni 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.
Arrigoni, Stefano, et al.. (2025). A 5G Roadside Infrastructure Assisting Connected and Automated Vehicles in Vulnerable Road User Protection. IEEE Open Journal of Intelligent Transportation Systems. 6. 346–362. 1 indexed citations
2.
Mancini, Francesca Romana, et al.. (2024). Enhanced Traffic Light Guidance for Safe and Energy-Efficient Driving: A Study on Multiple Traffic Light Advisor (MTLA) and 5G Integration. Journal of Intelligent & Robotic Systems. 110(2). 2 indexed citations
3.
Cheli, Federico, et al.. (2024). Precision Agriculture Applied to Harvesting Operations through the Exploitation of Numerical Simulation. Sensors. 24(4). 1214–1214. 2 indexed citations
4.
Barbieri, Luca, et al.. (2024). LiDAR-Aided Cooperative Localization and Environmental Perception for CAVs. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–8.
5.
Arrigoni, Stefano, et al.. (2024). Control of a Hexapod Robot Considering Terrain Interaction. Robotics. 13(10). 142–142. 3 indexed citations
6.
Zanardi, Alessandro, et al.. (2024). Tactical Game-Theoretic Decision-Making With Homotopy Class Constraints. IEEE Transactions on Intelligent Vehicles. 10(7). 3916–3930.
7.
Arrigoni, Stefano, et al.. (2023). A Robotic Assistant for Disabled Chess Players in Competitive Games. International Journal of Social Robotics. 16(1). 173–183. 1 indexed citations
8.
Arrigoni, Stefano, et al.. (2023). RobustStateNet: Robust ego vehicle state estimation for Autonomous Driving. Robotics and Autonomous Systems. 172. 104585–104585. 6 indexed citations
9.
Vignati, Michele, et al.. (2023). Infrastructure-Based Vehicle Localization through Camera Calibration for I2V Communication Warning. Sensors. 23(16). 7136–7136. 3 indexed citations
10.
Arrigoni, Stefano, et al.. (2023). A Map-Free LiDAR-Based System for Autonomous Navigation in Vineyards. SPIRE - Sciences Po Institutional REpository. 1–6. 2 indexed citations
11.
Arrigoni, Stefano, et al.. (2023). Vehicle Localization Kalman Filtering for Traffic Light Advisor Application in Urban Scenarios. Sensors. 23(15). 6888–6888. 3 indexed citations
12.
Arrigoni, Stefano, et al.. (2023). Fault Resistant Odometry Estimation using Message Passing Neural Network. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–8.
13.
Arrigoni, Stefano, et al.. (2022). Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving. IEEE Transactions on Intelligent Vehicles. 8(2). 1266–1278. 16 indexed citations
14.
Arrigoni, Stefano, et al.. (2022). Operationalizing the Ethics of Connected and Automated Vehicles. RePEc: Research Papers in Economics. 13(1). 1–20. 3 indexed citations
15.
Arrigoni, Stefano, Diego Scaccabarozzi, Bortolino Saggin, et al.. (2022). Design of the optical bench for the DORA telescope. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 577–581. 2 indexed citations
16.
Arrigoni, Stefano, et al.. (2021). Development and Simulation-based Testing of a 5G-Connected Intersection AEB System. arXiv (Cornell University). 16 indexed citations
17.
Arrigoni, Stefano, et al.. (2020). LiDAR - Stereo Camera Fusion for Accurate Depth Estimation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6. 1 indexed citations
18.
Zhang, Tao, et al.. (2016). A lane-level road network model with global continuity. Transportation Research Part C Emerging Technologies. 71. 32–50. 24 indexed citations
19.
Arrigoni, Stefano, Davide Tarsitano, & Federico Cheli. (2016). Comparison between different energy management algorithms for an urban electric bus with hybrid energy storage system based on battery and supercapacitors. International Journal of Heavy Vehicle Systems. 23(2). 171–171. 4 indexed citations
20.
Redaelli, Alberto, Giovanna Rizzo, Stefano Arrigoni, et al.. (2002). An assisted automated procedure for vessel geometry reconstruction and hemodynamic simulations from clinical imaging. Computerized Medical Imaging and Graphics. 26(3). 143–152. 8 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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