Aymen Flah

2.8k total citations
170 papers, 1.8k citations indexed

About

Aymen Flah is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Aymen Flah has authored 170 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Electrical and Electronic Engineering, 69 papers in Control and Systems Engineering and 47 papers in Automotive Engineering. Recurrent topics in Aymen Flah's work include Microgrid Control and Optimization (44 papers), Advanced Battery Technologies Research (43 papers) and Electric Vehicles and Infrastructure (25 papers). Aymen Flah is often cited by papers focused on Microgrid Control and Optimization (44 papers), Advanced Battery Technologies Research (43 papers) and Electric Vehicles and Infrastructure (25 papers). Aymen Flah collaborates with scholars based in Tunisia, Saudi Arabia and India. Aymen Flah's co-authors include Naoui Mohamed, Lassâad Sbita, Habib Kraiem, Sbita Lassâad, Ch. Rami Reddy, Marcos Tostado‐Véliz, Masoud Dashtdar, Sherif S. M. Ghoneim, Ziad M. Ali and Shady H. E. Abdel Aleem and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Aymen Flah

139 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aymen Flah Tunisia 25 1.4k 679 518 215 180 170 1.8k
Vojtěch Blažek Czechia 24 1.2k 0.9× 520 0.8× 513 1.0× 230 1.1× 157 0.9× 123 1.7k
Arup Kumar Goswami India 23 1.6k 1.2× 619 0.9× 364 0.7× 118 0.5× 178 1.0× 141 1.9k
Basem Alamri Saudi Arabia 23 1.5k 1.1× 514 0.8× 498 1.0× 224 1.0× 95 0.5× 77 1.7k
Salman Habib China 24 1.8k 1.3× 554 0.8× 1.0k 2.0× 260 1.2× 126 0.7× 91 2.1k
Eduardo M. G. Rodrigues Portugal 22 1.3k 1.0× 673 1.0× 375 0.7× 254 1.2× 230 1.3× 93 1.8k
Lukáš Prokop Czechia 23 1.1k 0.8× 508 0.7× 427 0.8× 162 0.8× 118 0.7× 150 1.5k
ChiaKwang Tan Malaysia 21 1.4k 1.0× 825 1.2× 325 0.6× 299 1.4× 215 1.2× 53 1.7k
Damien Paire France 24 1.4k 1.0× 859 1.3× 462 0.9× 152 0.7× 338 1.9× 51 1.7k
Ibrahim Alsaidan Saudi Arabia 17 1.0k 0.7× 460 0.7× 566 1.1× 223 1.0× 152 0.8× 39 1.4k
Reza Ghorbani United States 24 1.5k 1.1× 810 1.2× 660 1.3× 145 0.7× 106 0.6× 87 2.1k

Countries citing papers authored by Aymen Flah

Since Specialization
Citations

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

Fields of papers citing papers by Aymen Flah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aymen Flah

This figure shows the co-authorship network connecting the top 25 collaborators of Aymen Flah. A scholar is included among the top collaborators of Aymen Flah 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 Aymen Flah. Aymen Flah 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
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Nawaz, Rashid, et al.. (2025). Thermal and entropic behavior of hybrid nanofluids in unsteady squeezing flow through porous media under magnetic influence. Results in Engineering. 27. 106599–106599. 1 indexed citations
3.
Al-Haddad, Luttfi A., et al.. (2025). Hybrid integral sliding mode and fuzzy logic control for omnidirectional robots: modified elephant herding optimization for trajectory tracking. Scientific Reports. 15(1). 35666–35666. 1 indexed citations
4.
Al-Haddad, Luttfi A., et al.. (2025). Reliability-oriented framework for UAV-based inspection missions in modern power and energy systems. Scientific Reports. 16(1). 958–958.
5.
Islam, Md. Ashraful, et al.. (2025). A comprehensive evaluation of photovoltaic simulation software: A decision-making approach using Analytic Hierarchy Process and performance analysis. Energy Strategy Reviews. 58. 101663–101663. 4 indexed citations
6.
Al-Haddad, Luttfi A., et al.. (2025). Multiaxial vibration data for blade fault diagnosis in multirotor unmanned aerial vehicles. Scientific Data. 12(1). 1383–1383. 4 indexed citations
7.
Latha, B., et al.. (2024). Advances in EV wireless charging technology – A systematic review and future trends. SHILAP Revista de lepidopterología. 10. 100765–100765. 3 indexed citations
8.
Abbasi, Muhammad Abbas, Abdul Rashid Husain, Hafiz Mudassir Munir, et al.. (2024). Model predictive control for energy efficient AC motor drives: An overview. IET Electric Power Applications. 18(12). 1894–1920. 3 indexed citations
9.
Kraiem, Habib, et al.. (2024). Improving Electric Vehicle Autonomy in the Smart City Concept. Engineering Technology & Applied Science Research. 14(2). 13299–13304. 1 indexed citations
10.
11.
Dutta, Soham, et al.. (2024). Enhancing the Structural Integrity and Performance of an Agricultural Robot with Caterpillar Tracks: A Comprehensive Deformation Analysis. Engineering Technology & Applied Science Research. 14(4). 15910–15915.
12.
Mallick, Ranjan Kumar, Renu Sharma, Aymen Flah, et al.. (2024). Structural Approach to Convolutional Neural Network Trained With Novel Scaled Matrix Image for Pseudo Real-Time Power Quality Event Monitoring. IEEE Access. 12. 130833–130856. 2 indexed citations
13.
Alasali, Feras, Naser El‐Naily, Hassen Loukil, et al.. (2024). Highly sensitive protection scheme considering the PV operation control models. Electric Power Systems Research. 237. 111025–111025.
14.
Kumar, Y. V. Pavan, et al.. (2023). Convolutional Neural Network-Based Personalized Program Recommendation System for Smart Television Users. Sustainability. 15(3). 2206–2206. 30 indexed citations
15.
Mohamed, Naoui, Aymen Flah, & Lassâad Sbita. (2023). Efficiency of Intelligent Control Design for Dual-Stator Machine on the EV Traction System. Arabian Journal for Science and Engineering. 48(11). 15283–15304. 2 indexed citations
16.
Jasim, Basil H., et al.. (2023). Coordinated Control and Load Shifting-Based Demand Management of a Smart Microgrid Adopting Energy Internet. International Transactions on Electrical Energy Systems. 2023. 1–33. 6 indexed citations
17.
Pati, Swagat, Sanjeeb Kumar Kar, Habib Kraiem, et al.. (2023). A Novel Electric Spring With Improved Range of Operation for Isolated Microgrid Systems. IEEE Access. 11. 75761–75781. 4 indexed citations
18.
Kraiem, Habib, Aymen Flah, Naoui Mohamed, et al.. (2022). Decreasing the Battery Recharge Time if Using a Fuzzy Based Power Management Loop for an Isolated Micro-Grid Farm. Sustainability. 14(5). 2870–2870. 9 indexed citations
19.
Panda, Subhasis, Sarthak Mohanty, Pravat Kumar Rout, et al.. (2022). An Insight into the Integration of Distributed Energy Resources and Energy Storage Systems with Smart Distribution Networks Using Demand-Side Management. Applied Sciences. 12(17). 8914–8914. 36 indexed citations
20.
Farhat, Maissa, Óscar Barambones, Lassâad Sbita, & Aymen Flah. (2016). A robust MPP tracker based on sliding mode control for a photovoltaic based pumping system. International Journal of Automation and Computing. 14(4). 489–500. 13 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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