Hamid Taghavifar

3.3k total citations
108 papers, 2.5k citations indexed

About

Hamid Taghavifar is a scholar working on Civil and Structural Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Hamid Taghavifar has authored 108 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Civil and Structural Engineering, 44 papers in Automotive Engineering and 41 papers in Mechanical Engineering. Recurrent topics in Hamid Taghavifar's work include Soil Mechanics and Vehicle Dynamics (37 papers), Vehicle Dynamics and Control Systems (30 papers) and Agricultural Engineering and Mechanization (16 papers). Hamid Taghavifar is often cited by papers focused on Soil Mechanics and Vehicle Dynamics (37 papers), Vehicle Dynamics and Control Systems (30 papers) and Agricultural Engineering and Mechanization (16 papers). Hamid Taghavifar collaborates with scholars based in Iran, Canada and China. Hamid Taghavifar's co-authors include Aref Mardani, Chongfeng Wei, Subhash Rakheja, Yechen Qin, Chuan Hu, Ardashir Mohammadzadeh, Hadi Taghavifar, Jing Na, Jinghua Guo and Chunwei Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Hamid Taghavifar

102 papers receiving 2.5k citations

Peers

Hamid Taghavifar
Paramsothy Jayakumar United States
Jun Chen China
Z. Mohamed Malaysia
Corina Sandu United States
Paramsothy Jayakumar United States
Hamid Taghavifar
Citations per year, relative to Hamid Taghavifar Hamid Taghavifar (= 1×) peers Paramsothy Jayakumar

Countries citing papers authored by Hamid Taghavifar

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Taghavifar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Taghavifar

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Taghavifar. A scholar is included among the top collaborators of Hamid Taghavifar 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 Hamid Taghavifar. Hamid Taghavifar 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.
Mohammadzadeh, Ardashir, et al.. (2025). Cybersecurity in maritime power systems: A comprehensive review of cyber threats and mitigation techniques. Electric Power Systems Research. 247. 111797–111797. 1 indexed citations
2.
Taghavifar, Hamid, Chuan Hu, Chongfeng Wei, Ardashir Mohammadzadeh, & Chunwei Zhang. (2025). Behaviorally-Aware Multi-Agent RL With Dynamic Optimization for Autonomous Driving. IEEE Transactions on Automation Science and Engineering. 22. 10672–10683. 4 indexed citations
3.
Taghavifar, Hamid, et al.. (2025). Applied Type-3 Fuzzy Logic Systems and Controllers. Studies in fuzziness and soft computing. 2 indexed citations
4.
Mardani, Aref, et al.. (2024). Predicting terrain deformation patterns in off-road vehicle-soil interactions using TRR algorithm. Journal of Terramechanics. 117. 101021–101021. 4 indexed citations
5.
Zhang, Chunwei, Meihua Liu, Ardashir Mohammadzadeh, & Hamid Taghavifar. (2024). A fractional adaptive type-2 fuzzy structural control system: Theoretical/experimental study. Structures. 70. 107843–107843. 4 indexed citations
6.
Taghavifar, Hamid, et al.. (2024). Socially Intelligent Path-Planning for Autonomous Vehicles Using Type-2 Fuzzy Estimated Social Psychology Models. IEEE Access. 12. 112399–112411. 1 indexed citations
7.
Taghavifar, Hamid, et al.. (2024). Socially Intelligent Reinforcement Learning for Optimal Automated Vehicle Control in Traffic Scenarios. IEEE Transactions on Automation Science and Engineering. 22. 129–140. 11 indexed citations
8.
Nguyen, Anh‐Tu, et al.. (2023). LPV Unknown Input Observer-Based Estimation of Driver Intervention Torque and Vehicle Dynamics for Human-Machine Shared Driving. IFAC-PapersOnLine. 56(2). 5679–5684. 1 indexed citations
9.
Taghavifar, Hamid, Ardashir Mohammadzadeh, Wenjun Zhang, & Chunwei Zhang. (2023). Nonsingleton Gaussian type-3 fuzzy system with fractional order NTSMC for path tracking of autonomous cars. ISA Transactions. 146. 75–86. 9 indexed citations
10.
Tian, Man‐Wen, Khalid A. Alattas, Wei Guo, et al.. (2023). A strong secure path planning/following system based on type-3 fuzzy control, multi-switching chaotic systems, and random switching topology. Complex & Intelligent Systems. 10(2). 1997–2012. 7 indexed citations
11.
Taghavifar, Hamid, et al.. (2023). Optimal reinforcement learning and probabilistic-risk-based path planning and following of autonomous vehicles with obstacle avoidance. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 238(6). 1427–1439. 14 indexed citations
12.
Taghavifar, Hamid & Khoshnam Shojaei. (2023). Adaptive robust control algorithm for enhanced path-tracking performance of automated driving in critical scenarios. Soft Computing. 27(13). 8841–8854. 13 indexed citations
13.
Taghavifar, Hamid, Chuan Hu, Yechen Qin, & Chongfeng Wei. (2020). EKF-Neural Network Observer Based Type-2 Fuzzy Control of Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems. 22(8). 4788–4800. 35 indexed citations
14.
Taghavifar, Hadi, et al.. (2020). Adaptive robust control-based energy management of hybrid PV-Battery systems with improved transient performance. International Journal of Hydrogen Energy. 46(10). 7442–7453. 11 indexed citations
15.
Taghavifar, Hamid, Bin Xu, Chuan Hu, Yechen Qin, & Chongfeng Wei. (2020). Commercial Vehicle-Based Robust Control of Seated Whole-Body Vibration Using Adaptive Indirect Type-2 Fuzzy Neural Network. IEEE Access. 8. 124949–124960. 4 indexed citations
16.
Vatandoost, Hossein, et al.. (2019). A Supervised Artificial Neural Network-Assisted Modeling of Magnetorheological Elastomers in Tension–Compression Mode. IEEE Transactions on Magnetics. 55(12). 1–8. 16 indexed citations
17.
Hu, Chuan, Hongbo Gao, Jinghua Guo, et al.. (2019). RISE-Based Integrated Motion Control of Autonomous Ground Vehicles With Asymptotic Prescribed Performance. IEEE Transactions on Systems Man and Cybernetics Systems. 51(9). 5336–5348. 79 indexed citations
18.
Taghavifar, Hamid & Бин Ли. (2018). PSO-Fuzzy Gain Scheduling of PID Controllers for a Nonlinear Half-Vehicle Suspension System. SAE International Journal of Passenger Cars - Mechanical Systems. 12(1). 5–20. 4 indexed citations
19.
Jafarmadar, Samad, et al.. (2015). Numerical assessment of flow dynamics for various DI diesel engine designs considering swirl number and uniformity index. Energy Conversion and Management. 110. 347–355. 20 indexed citations
20.
Jafarmadar, Samad, et al.. (2013). Application of ANN-ICA Hybrid Algorithm toward Prediction of Engine Power and Exhaust Emissions. International Journal of Automotive Engineering. 3(4). 602–608. 4 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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