Shailesh Hegde

863 total citations · 1 hit paper
14 papers, 545 citations indexed

About

Shailesh Hegde is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Shailesh Hegde has authored 14 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 6 papers in Control and Systems Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Shailesh Hegde's work include Electric and Hybrid Vehicle Technologies (6 papers), Autonomous Vehicle Technology and Safety (4 papers) and Advanced Battery Technologies Research (4 papers). Shailesh Hegde is often cited by papers focused on Electric and Hybrid Vehicle Technologies (6 papers), Autonomous Vehicle Technology and Safety (4 papers) and Advanced Battery Technologies Research (4 papers). Shailesh Hegde collaborates with scholars based in Italy, Mexico and Spain. Shailesh Hegde's co-authors include Geoffrey F. Miller, Peter M. Todd, Nicola Amati, Francesco Paolo Deflorio, Andrea Tonoli, Carla Fabiana Chiasserini, Angelo Bonfitto, Renato Galluzzi, Gaizka Ugalde and Enrico Zenerino and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Energies and Applied Sciences.

In The Last Decade

Shailesh Hegde

12 papers receiving 485 citations

Hit Papers

Designing neural networks using genetic algorithms 1989 2026 2001 2013 1989 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shailesh Hegde Italy 6 372 84 78 68 62 14 545
Zhenhua Huang China 10 203 0.5× 131 1.6× 62 0.8× 39 0.6× 44 0.7× 23 408
Reinaldo A. C. Bianchi Brazil 14 250 0.7× 93 1.1× 14 0.2× 65 1.0× 88 1.4× 64 515
Guangquan Lu China 10 247 0.7× 44 0.5× 40 0.5× 28 0.4× 109 1.8× 39 411
Haoxi Zhang China 12 223 0.6× 27 0.3× 23 0.3× 80 1.2× 159 2.6× 39 539
Aurick Zhou United States 6 196 0.5× 87 1.0× 103 1.3× 22 0.3× 95 1.5× 8 364
Xiaoxiao Dai United States 7 127 0.3× 79 0.9× 18 0.2× 105 1.5× 73 1.2× 15 406
Edoardo Ragusa Italy 11 234 0.6× 34 0.4× 18 0.2× 96 1.4× 91 1.5× 52 426
Enrico De Santis Italy 11 172 0.5× 167 2.0× 26 0.3× 270 4.0× 30 0.5× 44 482
Richard Sutton New Zealand 5 283 0.8× 101 1.2× 28 0.4× 80 1.2× 34 0.5× 5 478
T. Ganesan Malaysia 14 108 0.3× 104 1.2× 29 0.4× 83 1.2× 44 0.7× 49 448

Countries citing papers authored by Shailesh Hegde

Since Specialization
Citations

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

Fields of papers citing papers by Shailesh Hegde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailesh Hegde

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

All Works

14 of 14 papers shown
1.
Galluzzi, Renato, et al.. (2024). Active Electromagnetic Clutch for Crankshaft Decoupling from a Belt Drive System. Applied Sciences. 14(11). 4770–4770.
2.
Chen, Hao, Shailesh Hegde, & Angelo Bonfitto. (2024). Aggressive Driving Behavior Detection Using Integrated I-DBSCAN and LSTM Neural Network. Zenodo (CERN European Organization for Nuclear Research).
3.
Hegde, Shailesh, et al.. (2023). Equivalent Consumption Minimization Strategy Based on Belt Drive System Characteristic Maps for P0 Hybrid Electric Vehicles. Energies. 16(1). 487–487. 5 indexed citations
4.
Hegde, Shailesh, et al.. (2023). A Deep Reinforcement Learning Approach for Efficient, Safe and Comfortable Driving. Applied Sciences. 13(9). 5272–5272. 17 indexed citations
5.
Hegde, Shailesh, et al.. (2023). Optimal Torque-Vectoring Control Strategy for Energy Efficiency and Vehicle Dynamic Improvement of Battery Electric Vehicles with Multiple Motors. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
6.
Bonfitto, Angelo, et al.. (2023). Effects of Recycled Permanent Magnets on Electric Machine and Hybrid Electric Vehicle Performances. eRepository Mondragon University (Mondragon University). 1 indexed citations
7.
Hegde, Shailesh, et al.. (2023). Predictive handling limits monitoring and agility improvement with torque vectoring on a rear in-wheel drive electric vehicle. Vehicle System Dynamics. 62(9). 2185–2209. 3 indexed citations
8.
Hegde, Shailesh, et al.. (2022). An ML-Aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers. IEEE Transactions on Intelligent Vehicles. 8(2). 1686–1698. 20 indexed citations
9.
Hegde, Shailesh, et al.. (2022). Crankshaft Decoupling Effects on Fuel Economy in HEV-P0. 1 indexed citations
10.
Hegde, Shailesh, et al.. (2021). Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles. 6 indexed citations
11.
Hegde, Shailesh, et al.. (2021). A Full-fledge Simulation Framework for the Assessment of Connected Cars. Transportation research procedia. 52. 315–322. 6 indexed citations
12.
Galluzzi, Renato, et al.. (2020). Fatigue monitoring of climbing ropes. Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology. 234(4). 328–336. 2 indexed citations
14.
Miller, Geoffrey F., Peter M. Todd, & Shailesh Hegde. (1989). Designing neural networks using genetic algorithms. international conference on Genetic algorithms. 379–384. 455 indexed citations breakdown →

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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