Kamel Sabahi

536 total citations
33 papers, 418 citations indexed

About

Kamel Sabahi is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Kamel Sabahi has authored 33 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Control and Systems Engineering, 23 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Kamel Sabahi's work include Microgrid Control and Optimization (22 papers), Frequency Control in Power Systems (16 papers) and Power System Optimization and Stability (12 papers). Kamel Sabahi is often cited by papers focused on Microgrid Control and Optimization (22 papers), Frequency Control in Power Systems (16 papers) and Power System Optimization and Stability (12 papers). Kamel Sabahi collaborates with scholars based in Iran, Denmark and Türkiye. Kamel Sabahi's co-authors include Mohammad Teshnehlab, Sehraneh Ghaemi, Mahdi Aliyari Shoorehdeli, Mohammad Ali Badamchizadeh, Mohammad Ali Nekoui, Arash Sharifi, Amin Hajizadeh, Mohammad Mansouri, Jianxing Liu and Amir Rikhtehgar Ghiasi and has published in prestigious journals such as Energy Conversion and Management, IEEE Access and Applied Soft Computing.

In The Last Decade

Kamel Sabahi

31 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamel Sabahi Iran 12 345 291 68 22 19 33 418
K. Jagatheesan India 14 519 1.5× 513 1.8× 34 0.5× 14 0.6× 30 1.6× 33 626
Tatiana Mariano Lessa Assis Brazil 10 206 0.6× 334 1.1× 30 0.4× 27 1.2× 6 0.3× 44 393
More Raju India 10 422 1.2× 441 1.5× 34 0.5× 10 0.5× 41 2.2× 35 526
H. L. Zeynelgil Türkiye 12 465 1.3× 460 1.6× 63 0.9× 6 0.3× 38 2.0× 19 591
Tirumalasetty Chiranjeevi India 10 277 0.8× 217 0.7× 47 0.7× 15 0.7× 19 1.0× 39 374
Aimin Zhang China 9 155 0.4× 190 0.7× 68 1.0× 15 0.7× 5 0.3× 58 330
Mohamed Khamies Egypt 16 557 1.6× 589 2.0× 43 0.6× 10 0.5× 34 1.8× 34 686
Tanmay Das India 9 141 0.4× 229 0.8× 52 0.8× 9 0.4× 3 0.2× 15 288
Usman Aliyu Nigeria 9 245 0.7× 402 1.4× 67 1.0× 9 0.4× 2 0.1× 30 474

Countries citing papers authored by Kamel Sabahi

Since Specialization
Citations

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

Fields of papers citing papers by Kamel Sabahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamel Sabahi

This figure shows the co-authorship network connecting the top 25 collaborators of Kamel Sabahi. A scholar is included among the top collaborators of Kamel Sabahi 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 Kamel Sabahi. Kamel Sabahi 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). Optimal hybrid type-3 fuzzy controller for horizontal axis wind turbines: Comparative study. ISA Transactions. 161. 200–215. 1 indexed citations
2.
Sabahi, Kamel, et al.. (2025). Deep reinforcement learning tuned type-3 fuzzy PID controller: AC microgrid case study. Electrical Engineering. 107(6). 8115–8128. 2 indexed citations
3.
Sabahi, Kamel, et al.. (2024). Output Feedback Tracking Control for a Class of Bilinear Systems: Application to Power Electronics Devices. IEEE Control Systems Letters. 8. 1883–1888. 1 indexed citations
4.
Sabahi, Kamel, et al.. (2024). Output-Feedback Saturated Control of DC-DC Converters With Unknown Independent Loads. IEEE Transactions on Systems Man and Cybernetics Systems. 54(9). 5532–5542. 1 indexed citations
5.
Sabahi, Kamel, et al.. (2024). Deep Artificial Neural Network Method for Magnetic Hysteresis Loop Prediction of Polyvinyl Alcohol@CoFe2O4 Nanocomposites. Transactions of the Indian Institute of Metals. 77(9). 2651–2657.
6.
Sabahi, Kamel, et al.. (2023). Sensorless Control of a Single-Phase AC–DC Boost Converter Without Measuring Input Voltage and Current. IEEE Access. 11. 59059–59070. 2 indexed citations
7.
Sabahi, Kamel, et al.. (2023). Input-output scaling factors tuning of type-2 fuzzy PID controller using multi-objective optimization technique. AIMS Mathematics. 8(4). 7917–7932. 4 indexed citations
8.
Rahimi, Tohid, et al.. (2022). Adaptive fuzzy gain scheduling PID controller for frequency regulation in modern power system. IET Renewable Power Generation. 19(1). 11 indexed citations
9.
Sabahi, Kamel, et al.. (2021). Lyapunov–Krasovskii based FPID controller for LFC in a time-delayed micro-grid system with fuel cell power units. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 40(3). 488–501. 5 indexed citations
10.
Sabahi, Kamel, et al.. (2021). Adaptive Type-2 Fuzzy PID LFC for an Interconnected Power System Considering Input Time-Delay. International Journal of Fuzzy Systems. 23(4). 1042–1054. 6 indexed citations
11.
Sabahi, Kamel, et al.. (2020). Overcoming the Detectability Obstacle in Adaptive Output Feedback Control of DC–DC Boost Converter With Unknown Load. IEEE Transactions on Control Systems Technology. 29(6). 2678–2686. 12 indexed citations
12.
Sabahi, Kamel, et al.. (2020). T2FPID Load Frequency Control for a two-area Power System Considering Input Delay. 1–5. 1 indexed citations
13.
Sabahi, Kamel, Sehraneh Ghaemi, & Mohammad Ali Badamchizadeh. (2019). Feedback error learning-based type-2 fuzzy neural network predictive controller for a class of nonlinear input delay systems. Transactions of the Institute of Measurement and Control. 41(13). 3651–3665. 6 indexed citations
14.
Ghaemi, Sehraneh, Kamel Sabahi, & Mohammad Ali Badamchizadeh. (2018). Lyapunov–Krasovskii stable T2FNN controller for a class of nonlinear time-delay systems. Soft Computing. 23(4). 1407–1419. 10 indexed citations
15.
Sabahi, Kamel, Sehraneh Ghaemi, Jianxing Liu, & Mohammad Ali Badamchizadeh. (2017). Indirect predictive type-2 fuzzy neural network controller for a class of nonlinear input - delay systems. ISA Transactions. 71(Pt 2). 185–195. 15 indexed citations
16.
Sabahi, Kamel, Sehraneh Ghaemi, & Mohammad Ali Badamchizadeh. (2016). Designing an adaptive type-2 fuzzy logic system load frequency control for a nonlinear time-delay power system. Applied Soft Computing. 43. 97–106. 22 indexed citations
17.
Ghiasi, Amir Rikhtehgar, et al.. (2016). Adaptive Robust Control of Autonomous Underwater Vehicle. Journal of Control Automation and Electrical Systems. 27(3). 250–262. 13 indexed citations
18.
Sabahi, Kamel, et al.. (2016). Gain Scheduling Technique using MIMO Type-2 Fuzzy Logic System for LFC in Restructure Power System. International Journal of Fuzzy Systems. 19(5). 1464–1478. 16 indexed citations
19.
Sabahi, Kamel, et al.. (2014). Application of type-2 fuzzy logic system for load frequency control using feedback error learning approaches. Applied Soft Computing. 21. 1–11. 61 indexed citations
20.
Sharifi, Arash, Kamel Sabahi, Mahdi Aliyari Shoorehdeli, Mohammad Ali Nekoui, & Mohammad Teshnehlab. (2008). Load frequency control in interconnected power system using multi-objective PID controller. 217–221. 29 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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