Ibrahim El‐Amin

2.7k total citations · 1 hit paper
73 papers, 2.1k citations indexed

About

Ibrahim El‐Amin is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ibrahim El‐Amin has authored 73 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 29 papers in Control and Systems Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Ibrahim El‐Amin's work include Microgrid Control and Optimization (18 papers), HVDC Systems and Fault Protection (13 papers) and Solar Radiation and Photovoltaics (12 papers). Ibrahim El‐Amin is often cited by papers focused on Microgrid Control and Optimization (18 papers), HVDC Systems and Fault Protection (13 papers) and Solar Radiation and Photovoltaics (12 papers). Ibrahim El‐Amin collaborates with scholars based in Saudi Arabia, United Kingdom and Canada. Ibrahim El‐Amin's co-authors include S.M. Shaahid, Shafiqur Rehman, Fahad Saleh Al–Ismail, Md Shafiullah, Fahad A. Al‐Sulaiman, Firoz Ahmad, M. A. Abido, A. Al-Shehri, Md Shafiul Alam and Salih O. Duffuaa and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Ibrahim El‐Amin

71 papers receiving 2.0k citations

Hit Papers

Grid Integration Challenges of Wind Energy: A Review 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ibrahim El‐Amin Saudi Arabia 20 1.4k 606 576 478 369 73 2.1k
Josiah L. Munda South Africa 29 1.9k 1.4× 828 1.4× 834 1.4× 555 1.2× 378 1.0× 168 3.0k
R. Chedid Lebanon 23 1.5k 1.1× 763 1.3× 711 1.2× 490 1.0× 305 0.8× 59 2.3k
M.M. Ardehali Iran 28 1.6k 1.1× 477 0.8× 584 1.0× 212 0.4× 394 1.1× 60 2.3k
Ershun Du China 30 2.3k 1.7× 478 0.8× 884 1.5× 147 0.3× 358 1.0× 93 2.9k
José A. Domínguez‐Navarro Spain 19 2.3k 1.7× 511 0.8× 829 1.4× 228 0.5× 163 0.4× 85 2.8k
Ahmed Bilal Awan Saudi Arabia 25 1.1k 0.8× 331 0.5× 598 1.0× 298 0.6× 624 1.7× 76 2.1k
Michael Conlon Ireland 31 2.7k 2.0× 346 0.6× 1.4k 2.4× 295 0.6× 1.1k 2.9× 137 4.0k
Saroj Rangnekar India 15 949 0.7× 617 1.0× 498 0.9× 350 0.7× 473 1.3× 30 1.8k
Yog Raj Sood India 26 1.7k 1.2× 227 0.4× 522 0.9× 261 0.5× 329 0.9× 119 2.2k
A. Louche France 20 1.1k 0.8× 1.2k 2.0× 432 0.8× 821 1.7× 591 1.6× 25 2.3k

Countries citing papers authored by Ibrahim El‐Amin

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim El‐Amin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim El‐Amin. 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 Ibrahim El‐Amin. The network helps show where Ibrahim El‐Amin may publish in the future.

Co-authorship network of co-authors of Ibrahim El‐Amin

This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim El‐Amin. A scholar is included among the top collaborators of Ibrahim El‐Amin 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 Ibrahim El‐Amin. Ibrahim El‐Amin 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.
Kuang, Zhifeng, et al.. (2025). Photovoltaic system modeling and forecasting techniques: A survey. Engineering Applications of Artificial Intelligence. 162. 112516–112516.
2.
El‐Amin, Ibrahim, et al.. (2024). Formulation of billing policy for residential scale solar PV systems and its impact in the Kingdom of Saudi Arabia. Renewable energy focus. 49. 100568–100568. 10 indexed citations
3.
El‐Amin, Ibrahim, et al.. (2021). Incentive‐based feasibility of a hybrid AC/DC microgrid in Saudi Arabia. The Journal of Engineering. 2021(3). 145–156. 2 indexed citations
4.
Alam, Md Shafiul, et al.. (2019). Fault Ride through Capability Augmentation of a DFIG-Based Wind Integrated VSC-HVDC System with Non-Superconducting Fault Current Limiter. Sustainability. 11(5). 1232–1232. 33 indexed citations
5.
Aliyu, Mansur, Ghassan Hassan, S.A.M. Said, et al.. (2018). A review of solar-powered water pumping systems. Renewable and Sustainable Energy Reviews. 87. 61–76. 165 indexed citations
6.
El‐Amin, Ibrahim, et al.. (2018). Possible Privatization Schemes for Power Generation Sector in Saudi Arabia. 11. 171–175. 1 indexed citations
7.
El‐Amin, Ibrahim, et al.. (2018). Feasibility study of a standalone DC house: energy savings opportunities and capital costs assessment. 7 (6 pp.)–7 (6 pp.). 1 indexed citations
8.
El‐Amin, Ibrahim, et al.. (2017). Improving the voltage profile of transmission line under different loading conditions. 1–7. 1 indexed citations
9.
El‐Amin, Ibrahim, et al.. (2017). Mathematical-based accurate prediction model of output AC power for grid-connected photovoltaic system. 2 3. 1–6. 1 indexed citations
10.
El‐Amin, Ibrahim, et al.. (2014). Transmission congestion management. 4. 1–6. 1 indexed citations
11.
Li, Yun, et al.. (2012). Forecasting of photovoltaic power yield using dynamic neural networks. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–5. 34 indexed citations
12.
Shaahid, S.M., et al.. (2007). Dissemination of off-grid hybrid wind-diesel-battery power systems for electrification of isolated settlements of hot regions. International Journal of Sustainable Energy. 26(2). 91–105. 16 indexed citations
13.
Rehman, Shafiqur, Ibrahim El‐Amin, Firoz Ahmad, et al.. (2005). Wind power resource assessment for Rafha, Saudi Arabia. Renewable and Sustainable Energy Reviews. 11(5). 937–950. 84 indexed citations
14.
Nigim, K.A., Ahmed F. Zobaa, & Ibrahim El‐Amin. (2005). An introduction to reactive power compensation for wind farms. International Journal of Energy Technology and Policy. 3(3). 185–185. 9 indexed citations
15.
Al‐Hamouz, Z., et al.. (2004). Transmission expansion planning based on Tabu Search algorithm. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 951–952. 1 indexed citations
16.
El‐Amin, Ibrahim, et al.. (1999). Artificial neural networks as applied to long-term demand forecasting. Artificial Intelligence in Engineering. 13(2). 189–197. 123 indexed citations
17.
El‐Amin, Ibrahim, et al.. (1994). Electric network interconnection of Mashreq Arab Countries. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 1 indexed citations
18.
Feilat, Eyad A., Ibrahim El‐Amin, & Maâmar Bettayeb. (1994). Power system harmonic estimation: a comparative study. Electric Power Systems Research. 29(2). 91–97. 30 indexed citations
19.
Abdel-Magid, Y.L. & Ibrahim El‐Amin. (1987). Dynamic stability of wind-turbine generators under widely varying loading conditions. International Journal of Electrical Power & Energy Systems. 9(3). 180–188. 11 indexed citations
20.
El‐Amin, Ibrahim & A.H.M.A. Rahim. (1985). Stabilization of a High Voltage ACDC Power System II. Multimachine System Subjected to Large Perturbation. IEEE Power Engineering Review. PER-5(11). 22–22. 1 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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