Ali Jamali

2.9k total citations
112 papers, 2.2k citations indexed

About

Ali Jamali is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Ali Jamali has authored 112 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Theory and Mathematics, 31 papers in Control and Systems Engineering and 31 papers in Mechanical Engineering. Recurrent topics in Ali Jamali's work include Advanced Multi-Objective Optimization Algorithms (31 papers), Advanced Control Systems Optimization (14 papers) and Evolutionary Algorithms and Applications (10 papers). Ali Jamali is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (31 papers), Advanced Control Systems Optimization (14 papers) and Evolutionary Algorithms and Applications (10 papers). Ali Jamali collaborates with scholars based in Iran, Australia and United States. Ali Jamali's co-authors include N. Nariman-zadeh, Kazem Atashkari, Reza Shahnazi, A. Darvizeh, Mohammad Naghashzadegan, Xin Yao, Raziyeh Farmani, Amir Hajiloo, Amin Ettehadtavakkol and Abolfazl Khalkhali and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Expert Systems with Applications.

In The Last Decade

Ali Jamali

104 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Jamali Iran 25 621 524 482 369 356 112 2.2k
N. Nariman-zadeh Iran 28 847 1.4× 756 1.4× 434 0.9× 258 0.7× 444 1.2× 108 2.6k
Guilherme Ferreira Gomes Brazil 31 899 1.4× 1.3k 2.5× 378 0.8× 342 0.9× 356 1.0× 130 3.0k
Sebastião Simões da Cunha Brazil 25 671 1.1× 921 1.8× 180 0.4× 279 0.8× 280 0.8× 55 2.1k
Long Zhang China 27 903 1.5× 718 1.4× 1.2k 2.5× 268 0.7× 306 0.9× 161 2.8k
Jianwei Cheng China 26 503 0.8× 713 1.4× 165 0.3× 152 0.4× 488 1.4× 220 2.9k
Alireza Maheri United Kingdom 22 151 0.2× 414 0.8× 480 1.0× 631 1.7× 139 0.4× 104 1.8k
Kang Liu China 25 149 0.2× 286 0.5× 627 1.3× 239 0.6× 83 0.2× 113 2.0k
Afshin Ghanbarzadeh Iran 22 371 0.6× 129 0.2× 217 0.5× 462 1.3× 588 1.7× 75 1.6k
Paweł Ocłoń Poland 28 980 1.6× 230 0.4× 418 0.9× 463 1.3× 121 0.3× 122 2.3k
Jan Taler Poland 30 1.7k 2.7× 139 0.3× 268 0.6× 516 1.4× 118 0.3× 206 3.2k

Countries citing papers authored by Ali Jamali

Since Specialization
Citations

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

Fields of papers citing papers by Ali Jamali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Jamali

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Jamali. A scholar is included among the top collaborators of Ali Jamali 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 Ali Jamali. Ali Jamali 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.
2.
Jamali, Ali & Volker Schulze. (2025). Prediction of Cutting Tool Condition in Milling Using Optimization and Non-Optimization Techniques. Procedia CIRP. 133. 78–83. 1 indexed citations
3.
Jamali, Ali, Amita Kashyap, Johannes Schneider, Michael Stueber, & Volker Schulze. (2025). Grey-box modelling for tool wear prediction in milling: Fusion of finite element insights, time-resolved cutting signals and metaheuristic feature selection. Wear. 580-581. 206292–206292. 1 indexed citations
4.
Jamali, Ali, et al.. (2025). Innovations and prognostics in battery degradation and longevity for energy storage systems. Journal of Energy Storage. 114. 115724–115724. 3 indexed citations
5.
Jamali, Ali, et al.. (2024). Bi-level game theoretic approach for robust design: A case study of path-generating four-bar. Swarm and Evolutionary Computation. 89. 101636–101636.
6.
Khayyam, Hamid, et al.. (2024). Fuzzy adaptive cruise control with model predictive control responding to dynamic traffic conditions for automated driving. Engineering Applications of Artificial Intelligence. 136. 109008–109008. 6 indexed citations
7.
Daghigh, Roonak, et al.. (2023). Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles. Sustainability. 15(6). 5249–5249. 63 indexed citations
8.
Nariman-zadeh, N., et al.. (2023). Evolutionary design of marginally robust multivariable PID controller. Engineering Applications of Artificial Intelligence. 121. 105938–105938. 8 indexed citations
9.
Jamali, Ali, et al.. (2021). Multi-objective robust design approach usage in integration of bond graph and genetic programming. International Journal of Modelling and Simulation. 42(5). 743–759. 3 indexed citations
10.
Jamali, Ali, et al.. (2021). Providing a GIS-based framework for Run-Of-River hydropower site selection: a model based on sustainable development energy approach. Civil Engineering and Environmental Systems. 38(2). 102–126. 10 indexed citations
11.
Khayyam, Hamid, Ali Jamali, Alireza Bab‐Hadiashar, et al.. (2020). A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling With Application in Industry 4.0. IEEE Access. 8. 111381–111393. 52 indexed citations
12.
Jamali, Ali, et al.. (2019). Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller. ISA Transactions. 96. 272–286. 79 indexed citations
13.
14.
Jamali, Ali, et al.. (2017). Positive Correlation Between Historical Oil Production and Well Stimulation Response. SPE Western Regional Meeting. 1 indexed citations
15.
Jamali, Ali, et al.. (2017). A hybrid algorithm coupling genetic programming and Nelder–Mead for topology and size optimization of trusses with static and dynamic constraints. Expert Systems with Applications. 95. 127–141. 39 indexed citations
16.
Kamali, A., et al.. (2014). A New Approach to Stimulating Thin and Stranded Oil Sand Reservoirs: A Simulation Study. SPE Heavy Oil Conference-Canada.
17.
Mahmoodabadi, M. J., et al.. (2012). Pareto Design of Decoupled Sliding‐Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm. SHILAP Revista de lepidopterología. 2012(1). 19 indexed citations
18.
Jamali, Ali, et al.. (2006). A polynomial model for concrete compressive strength prediction using GMDH-type neural networks and genetic algorithm. International Conference on System Science and Simulation in Engineering. 13–18. 3 indexed citations
19.
Amanifard, Nima, et al.. (2006). Multi-objective Pareto optimization of axial compressors using genetic algorithms. Annual Conference on Computers. 932–937.
20.
Nariman-zadeh, N., et al.. (2005). ANFIS networks design using hybrid genetic and SVD methods for modelling of the level variations of the Caspian sea. International Conference on Artificial Intelligence. 20(2). 11–13. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by N. Nariman-zadeh Breakdown of academic impact, for papers by Guilherme Ferreira Gomes Breakdown of academic impact, for papers by Sebastião Simões da Cunha Breakdown of academic impact, for papers by Long Zhang Breakdown of academic impact, for papers by Jianwei Cheng Breakdown of academic impact, for papers by Alireza Maheri Breakdown of academic impact, for papers by Kang Liu Breakdown of academic impact, for papers by Afshin Ghanbarzadeh Breakdown of academic impact, for papers by Paweł Ocłoń Breakdown of academic impact, for papers by Jan Taler
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