Aldo Sorniotti

5.9k total citations
163 papers, 4.4k citations indexed

About

Aldo Sorniotti is a scholar working on Automotive Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Aldo Sorniotti has authored 163 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Automotive Engineering, 74 papers in Mechanical Engineering and 73 papers in Control and Systems Engineering. Recurrent topics in Aldo Sorniotti's work include Vehicle Dynamics and Control Systems (119 papers), Electric and Hybrid Vehicle Technologies (88 papers) and Real-time simulation and control systems (51 papers). Aldo Sorniotti is often cited by papers focused on Vehicle Dynamics and Control Systems (119 papers), Electric and Hybrid Vehicle Technologies (88 papers) and Real-time simulation and control systems (51 papers). Aldo Sorniotti collaborates with scholars based in United Kingdom, Italy and Belgium. Aldo Sorniotti's co-authors include Patrick Gruber, Leonardo De Novellis, Davide Tavernini, Basilio Lenzo, Mauro Velardocchia, Johan Theunissen, Stefano De Pinto, Constantina Lekakou, Jasper De Smet and Ahu Ece Hartavi Karcı and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Aldo Sorniotti

153 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aldo Sorniotti United Kingdom 38 3.8k 1.7k 1.6k 958 532 163 4.4k
Matteo Corno Italy 29 1.8k 0.5× 1.1k 0.6× 879 0.5× 494 0.5× 489 0.9× 226 2.8k
Xiangyu Wang China 30 1.8k 0.5× 717 0.4× 909 0.6× 926 1.0× 254 0.5× 121 2.7k
Weichao Zhuang China 31 1.9k 0.5× 974 0.6× 658 0.4× 1.0k 1.1× 159 0.3× 143 2.8k
Huei Peng United States 24 3.3k 0.9× 981 0.6× 381 0.2× 2.4k 2.5× 107 0.2× 41 3.9k
Datong Qin China 31 1.8k 0.5× 719 0.4× 1.4k 0.8× 1.2k 1.3× 162 0.3× 176 3.1k
Seibum B. Choi South Korea 30 2.3k 0.6× 1.6k 0.9× 1.3k 0.8× 457 0.5× 548 1.0× 182 3.2k
Zhuoping Yu China 26 1.7k 0.4× 808 0.5× 804 0.5× 569 0.6× 268 0.5× 170 2.5k
Paul Walker Australia 37 2.3k 0.6× 858 0.5× 1.1k 0.7× 1.6k 1.7× 310 0.6× 143 3.4k
Jibin Hu China 28 1.0k 0.3× 621 0.4× 1.2k 0.7× 194 0.2× 185 0.3× 113 2.1k
Cheng Lin China 33 2.8k 0.8× 819 0.5× 436 0.3× 2.4k 2.5× 119 0.2× 181 3.6k

Countries citing papers authored by Aldo Sorniotti

Since Specialization
Citations

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

Fields of papers citing papers by Aldo Sorniotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aldo Sorniotti

This figure shows the co-authorship network connecting the top 25 collaborators of Aldo Sorniotti. A scholar is included among the top collaborators of Aldo Sorniotti 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 Aldo Sorniotti. Aldo Sorniotti 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.
Li, Fang, Hsin‐Hsi Chen, Aldo Sorniotti, et al.. (2025). Decoupling control based on neural network inverse system for path tracking in multi-actuated unmanned ground vehicles. Vehicle System Dynamics. 64(4). 836–869.
2.
Montanaro, Umberto, et al.. (2024). On-board electric powertrain control for the compensation of the longitudinal acceleration oscillations caused by road irregularities. Mechanism and Machine Theory. 202. 105759–105759. 1 indexed citations
3.
4.
Bottiglione, Francesco, et al.. (2024). On Nonlinear Model Predictive Vehicle Dynamics Control for Multi-Actuated Car-Semitrailer Configurations. IEEE Access. 12. 165928–165947. 3 indexed citations
5.
Armengaud, Eric, et al.. (2022). Towards Brand-Independent Architectures, Components and Systems for Next Generation Electrified Vehicles Optimised for the Infrastructure. SAE International Journal of Advances and Current Practices in Mobility. 4(5). 1906–1922.
6.
Bottiglione, Francesco, et al.. (2022). On nonlinear model predictive direct yaw moment control for trailer sway mitigation. Vehicle System Dynamics. 61(2). 445–471. 16 indexed citations
7.
Armengaud, Eric, Hannes Pirker, Sebastian Gramstat, et al.. (2021). E-Mobility-Opportunities and Challenges of Integrated Corner Solutions. SAE International Journal of Advances and Current Practices in Mobility. 3(5). 2462–2472. 6 indexed citations
8.
Tavernini, Davide, Umberto Montanaro, Alessandro Soldati, et al.. (2021). Nonlinear Model Predictive Control for Integrated Energy-Efficient Torque-Vectoring and Anti-Roll Moment Distribution. IEEE/ASME Transactions on Mechatronics. 26(3). 1212–1224. 52 indexed citations
9.
Pinto, Stefano De, et al.. (2021). On the benefit of smart tyre technology on vehicle state estimation. Vehicle System Dynamics. 60(11). 3694–3719. 23 indexed citations
10.
Gruber, Patrick, et al.. (2020). On the Optimal Speed Profile for Electric Vehicles. IEEE Access. 8. 78504–78518. 22 indexed citations
11.
Gruber, Patrick, et al.. (2020). Comparison of Anti-Jerk Controllers for Electric Vehicles With On-Board Motors. IEEE Transactions on Vehicular Technology. 69(10). 10681–10699. 16 indexed citations
12.
Shao, Lingyun, Ahu Ece Hartavi Karcı, Davide Tavernini, Aldo Sorniotti, & Ming Cheng. (2020). Design Approaches and Control Strategies for Energy-Efficient Electric Machines for Electric Vehicles—A Review. IEEE Access. 8. 116900–116913. 97 indexed citations
13.
Tavernini, Davide, et al.. (2020). On Nonlinear Model Predictive Control for Energy-Efficient Torque-Vectoring. IEEE Transactions on Vehicular Technology. 70(1). 173–188. 69 indexed citations
14.
Theunissen, Johan, Aldo Sorniotti, Patrick Gruber, et al.. (2019). Regionless Explicit Model Predictive Control of Active Suspension Systems With Preview. IEEE Transactions on Industrial Electronics. 67(6). 4877–4888. 102 indexed citations
15.
Tavernini, Davide, et al.. (2019). On the Design of Yaw Rate Control via Variable Front-to-Total Anti-Roll Moment Distribution. IEEE Transactions on Vehicular Technology. 69(2). 1388–1403. 20 indexed citations
16.
Tavernini, Davide, Dzmitry Savitski, Valentin Ivanov, et al.. (2019). An Explicit Nonlinear Model Predictive ABS Controller for Electro-Hydraulic Braking Systems. IEEE Transactions on Industrial Electronics. 67(5). 3990–4001. 94 indexed citations
17.
Lenzo, Basilio, et al.. (2018). Energy-Efficient Torque-Vectoring Control of Electric Vehicles With Multiple Drivetrains. IEEE Transactions on Vehicular Technology. 67(6). 4702–4715. 75 indexed citations
18.
Sorniotti, Aldo, et al.. (2012). Energy consumption analysis of a novel four-speed dual motor drivetrain for electric vehicles. View. 295–300. 43 indexed citations
19.
Sorniotti, Aldo, et al.. (2012). Optimization of a Multiple-Speed Transmission for Downsizing the Motor of a Fully Electric Vehicle. SAE International journal of alternative powertrains. 1(1). 134–143. 60 indexed citations
20.
Sorniotti, Aldo. (2008). Driveline Modeling, Experimental Validation and Evaluation of the Influence of the Different Parameters on the Overall System Dynamics. SAE technical papers on CD-ROM/SAE technical paper series. 1. 22 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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