Maissa Farhat

722 total citations
39 papers, 587 citations indexed

About

Maissa Farhat is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Maissa Farhat has authored 39 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Renewable Energy, Sustainability and the Environment, 23 papers in Electrical and Electronic Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Maissa Farhat's work include Photovoltaic System Optimization Techniques (25 papers), Solar Radiation and Photovoltaics (13 papers) and solar cell performance optimization (11 papers). Maissa Farhat is often cited by papers focused on Photovoltaic System Optimization Techniques (25 papers), Solar Radiation and Photovoltaics (13 papers) and solar cell performance optimization (11 papers). Maissa Farhat collaborates with scholars based in Spain, United Arab Emirates and Tunisia. Maissa Farhat's co-authors include Óscar Barambones, Lassâad Sbita, Mohamed Derbeli, Aymen Flah, José Antonio Ramos-Hernanz, Maen Takruri, Sbita Lassâad, Bertrand Busson, José Marı́a González de Durana and José Manuel Andújar and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Maissa Farhat

38 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maissa Farhat Spain 14 441 371 186 150 137 39 587
A.K. Mukerjee India 9 505 1.1× 531 1.4× 61 0.3× 286 1.9× 82 0.6× 24 627
Anup Anurag United States 18 935 2.1× 203 0.5× 70 0.4× 60 0.4× 222 1.6× 60 1.0k
A. Moussi Algeria 10 247 0.6× 235 0.6× 43 0.2× 105 0.7× 113 0.8× 33 415
Moshe Sitbon Israel 13 367 0.8× 312 0.8× 85 0.5× 69 0.5× 209 1.5× 51 469
K. Priya India 8 455 1.0× 289 0.8× 200 1.1× 62 0.4× 91 0.7× 9 522
Said Еl Bеid Morocco 12 304 0.7× 232 0.6× 84 0.5× 95 0.6× 135 1.0× 41 405
Mohammed Agamy United States 16 1.0k 2.3× 264 0.7× 175 0.9× 51 0.3× 307 2.2× 75 1.1k
Shibin Qin United States 16 1.2k 2.7× 384 1.0× 201 1.1× 41 0.3× 323 2.4× 22 1.3k
N. Sudhakar India 10 379 0.9× 172 0.5× 221 1.2× 40 0.3× 66 0.5× 17 448
S. Kouzuma Japan 6 289 0.7× 381 1.0× 49 0.3× 219 1.5× 67 0.5× 9 450

Countries citing papers authored by Maissa Farhat

Since Specialization
Citations

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

Fields of papers citing papers by Maissa Farhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maissa Farhat

This figure shows the co-authorship network connecting the top 25 collaborators of Maissa Farhat. A scholar is included among the top collaborators of Maissa Farhat 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 Maissa Farhat. Maissa Farhat 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.
Farhat, Maissa, et al.. (2025). K-Nearest Neighbors hybrid method for maximum power point tracking under partial shading for photovoltaic power systems. Results in Engineering. 27. 106694–106694. 1 indexed citations
2.
Farhat, Maissa, et al.. (2025). Optimizing photovoltaic performance: Data-driven maximum power point prediction via advanced regression models. Results in Control and Optimization. 20. 100586–100586. 1 indexed citations
3.
4.
Farhat, Maissa & Óscar Barambones. (2024). Advanced Control Scheme Optimization for Stand-Alone Photovoltaic Water Pumping Systems. Computation. 12(11). 224–224. 2 indexed citations
5.
Derbeli, Mohamed, et al.. (2020). Robust high order sliding mode control for performance improvement of PEM fuel cell power systems. International Journal of Hydrogen Energy. 45(53). 29222–29234. 58 indexed citations
6.
Takruri, Maen, et al.. (2020). Maximum Power Point Tracking of PV System Based on Machine Learning. Energies. 13(3). 692–692. 25 indexed citations
7.
Farhat, Maissa, Óscar Barambones, & Lassâad Sbita. (2020). A Real-Time Implementation of Novel and Stable Variable Step Size MPPT. Energies. 13(18). 4668–4668. 14 indexed citations
8.
Takruri, Maen, et al.. (2019). Support Vector Machine for Photovoltaic System Efficiency Improvement. Journal of Sustainable Development of Energy Water and Environment Systems. 8(3). 441–451. 9 indexed citations
9.
Assaf, Hamed, et al.. (2018). Assessing recycling attitude and behaviour in Ras Al Khaimah, UAE. Journal of Environmental Engineering and Science. 14(4). 218–224. 5 indexed citations
10.
Derbeli, Mohamed, Lassâad Sbita, Maissa Farhat, & Óscar Barambones. (2017). PEM fuel cell green energy generation — SMC efficiency optimization. 1–5. 16 indexed citations
11.
Farhat, Maissa, Óscar Barambones, & Lassâad Sbita. (2017). An online optimum voltage estimation and real‐time MPP tracking for a PV system. International Journal of Adaptive Control and Signal Processing. 31(11). 1655–1665. 1 indexed citations
12.
Farhat, Maissa, et al.. (2017). Sensorless and robust PEMFEC power system drive based on Z(Tn)observability. 3. 1–6. 2 indexed citations
13.
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
14.
Ramos-Hernanz, José Antonio, Óscar Barambones, José Manuel López-Guede, et al.. (2016). Sliding Mode Real-Time Control of Photovoltaic Systems Using Neural Estimators. International Journal of Photoenergy. 2016. 1–16. 6 indexed citations
15.
Farhat, Maissa, Óscar Barambones, & Sbita Lassâad. (2016). A real-time implementation of MPPT-based on P&O method. IEEE Conference Proceedings. 2016. 5. 2 indexed citations
16.
Derbeli, Mohamed, Maissa Farhat, Óscar Barambones, & Lassâad Sbita. (2016). Control of PEM fuel cell power system using sliding mode and super-twisting algorithms. International Journal of Hydrogen Energy. 42(13). 8833–8844. 83 indexed citations
17.
Farhat, Maissa, et al.. (2016). Variable structure MPP controller for photovoltaic pumping system. Transactions of the Institute of Measurement and Control. 39(9). 1283–1292. 10 indexed citations
18.
Farhat, Maissa, Óscar Barambones, & Lassâad Sbita. (2016). A real-time implementation of MPPT-based on P&O method. 1–5. 11 indexed citations
19.
Farhat, Maissa, Óscar Barambones, José Antonio Ramos-Hernanz, E. Durán, & José Manuel Andújar. (2015). Diseño e Implementación de un Sistema de Control estable basado en Lógica Borrosa para optimizar el rendimiento de un sistema de Generación Fotovoltaico. Revista Iberoamericana de Automática e Informática Industrial RIAI. 12(4). 476–487. 8 indexed citations
20.
Salman, M., et al.. (1983). Low cost microprocessor based optimal controller for solar cooling systems. 10. 958–963. 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.

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