Ibrahim Saeh

423 total citations
20 papers, 351 citations indexed

About

Ibrahim Saeh is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ibrahim Saeh has authored 20 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 7 papers in Control and Systems Engineering and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ibrahim Saeh's work include Power System Optimization and Stability (8 papers), Catalysts for Methane Reforming (4 papers) and Power System Reliability and Maintenance (4 papers). Ibrahim Saeh is often cited by papers focused on Power System Optimization and Stability (8 papers), Catalysts for Methane Reforming (4 papers) and Power System Reliability and Maintenance (4 papers). Ibrahim Saeh collaborates with scholars based in Malaysia, Iran and United States. Ibrahim Saeh's co-authors include Walid Nabgan, Bahador Nabgan, Tuan Amran Tuan Abdullah, Yahya Gambo, Ramli Mat, Maryam Ibrahim, S. Triwahyono, Aishah Abdul Jalil, Arshad Ahmad and Anis Salwa Mohd Khairuddin and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, International Journal of Hydrogen Energy and Journal of environmental chemical engineering.

In The Last Decade

Ibrahim Saeh

19 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ibrahim Saeh Malaysia 8 140 132 114 100 88 20 351
José Carlos Sousa Portugal 7 110 0.8× 62 0.5× 149 1.3× 162 1.6× 180 2.0× 23 444
Changgwon Choe South Korea 15 166 1.2× 77 0.6× 147 1.3× 128 1.3× 86 1.0× 25 487
S. Voutetakis Greece 11 134 1.0× 123 0.9× 134 1.2× 103 1.0× 78 0.9× 29 387
Ömer Gül Türkiye 9 56 0.4× 82 0.6× 40 0.4× 60 0.6× 138 1.6× 42 313
Emmanuel Arriola Philippines 7 152 1.1× 80 0.6× 103 0.9× 167 1.7× 89 1.0× 15 396
Jeongdong Kim South Korea 12 73 0.5× 49 0.4× 287 2.5× 71 0.7× 122 1.4× 27 508
Mohammad Javad Azarhoosh Iran 13 133 0.9× 73 0.6× 139 1.2× 147 1.5× 16 0.2× 27 488
Barnali Bej India 9 159 1.1× 92 0.7× 108 0.9× 165 1.6× 20 0.2× 10 332
Jianan Zhang United States 9 60 0.4× 109 0.8× 105 0.9× 39 0.4× 95 1.1× 10 318

Countries citing papers authored by Ibrahim Saeh

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Saeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ibrahim Saeh

This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim Saeh. A scholar is included among the top collaborators of Ibrahim Saeh 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 Saeh. Ibrahim Saeh 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.
Nabgan, Bahador, Muhammad Tahir, Tuan Amran Tuan Abdullah, et al.. (2017). Ni/Pd-promoted Al 2 O 3 –La 2 O 3 catalyst for hydrogen production from polyethylene terephthalate waste via steam reforming. International Journal of Hydrogen Energy. 42(16). 10708–10721. 42 indexed citations
3.
Nabgan, Walid, Tuan Amran Tuan Abdullah, Ramli Mat, et al.. (2017). Renewable hydrogen production from bio-oil derivative via catalytic steam reforming: An overview. Renewable and Sustainable Energy Reviews. 79. 347–357. 177 indexed citations
4.
Nabgan, Bahador, Tuan Amran Tuan Abdullah, Muhammad Tahir, et al.. (2017). Evaluation of theoretical and experimental mass transfer limitation in steam reforming of phenol-PET waste to hydrogen production over Ni/La-promoted Al2O3 catalyst. Journal of environmental chemical engineering. 5(3). 2752–2760. 13 indexed citations
5.
Nabgan, Bahador, Tuan Amran Tuan Abdullah, Walid Nabgan, et al.. (2017). Steam reforming of phenol-PET solution over Ni/Al2O3 catalyst for hydrogen production. 2(1). 3 indexed citations
6.
Nabgan, Walid, Tuan Amran Tuan Abdullah, Bahador Nabgan, et al.. (2016). A Simulation of Claus Process Via Aspen Hysys for Sulfur Recovery. Chemical Product and Process Modeling. 11(4). 273–278. 5 indexed citations
7.
Nabgan, Bahador, et al.. (2016). Process Simulation for Removing Impurities From Wastewater Using Sour Water 2-Strippers system via Aspen Hysys. Chemical Product and Process Modeling. 11(4). 315–321. 3 indexed citations
8.
Saeh, Ibrahim, et al.. (2016). New Classifier Design for Static Security Evaluation Using Artificial In-telligence Techniques. International Journal of Electrical and Computer Engineering (IJECE). 6(2). 870–870. 1 indexed citations
9.
Saeh, Ibrahim, et al.. (2016). New Classifier Design for Static Security Evaluation Using Artificial In-telligence Techniques. International Journal of Electrical and Computer Engineering (IJECE). 6(2). 870–870. 2 indexed citations
10.
Ariff, M.A.M., et al.. (2016). Performance analysis of machine learning algorithms for power system dynamic security assessment. 37 (6 .)–37 (6 .). 4 indexed citations
11.
Algeelani, Nasir Ahmed, et al.. (2016). Identification of Acoustic Signals of Internal Electric Discharges on Glass Insulator under Variable Applied Voltage. International Journal of Electrical and Computer Engineering (IJECE). 6(2). 827–827. 3 indexed citations
12.
Algeelani, Nasir Ahmed, et al.. (2016). Identification of Acoustic Signals of Internal Electric Discharges on Glass Insulator under Variable Applied Voltage. International Journal of Electrical and Computer Engineering (IJECE). 6(2). 827–827. 6 indexed citations
13.
14.
Saeh, Ibrahim, et al.. (2015). Static Security classification and Evaluation classifier design in electric power grid with presence of PV power plants using C-4.5. Renewable and Sustainable Energy Reviews. 56. 283–290. 21 indexed citations
15.
Rahman, Hasimah Abdul, et al.. (2013). Artificial neural network‐based photovoltaic module temperature estimation for tropical climate of Malaysia and its impact on photovoltaic system energy yield. Progress in Photovoltaics Research and Applications. 23(3). 302–318. 22 indexed citations
16.
Saeh, Ibrahim & Mohd Wazir Mustafa. (2013). Performance Evaluation of Deregulated Power System Static Security Assessment using RBF-NN Technique. Jurnal Teknologi. 64(1). 1 indexed citations
17.
Saeh, Ibrahim & Mohd Wazir Mustafa. (2013). Artificial Neural Network for Power System Static Security Assessment: A Survey. Jurnal Teknologi. 66(1). 8 indexed citations
18.
Saeh, Ibrahim & Mohd Wazir Mustafa. (2012). Machine Learning Classifiers for Steady State Security Evaluation in Power System. 1 indexed citations
19.
Saeh, Ibrahim & Azhar Khairuddin. (2009). Decision Tree for Static Security Assessment Classification. 681–684. 9 indexed citations
20.
Saeh, Ibrahim & Anis Salwa Mohd Khairuddin. (2008). Static security assessment using artificial neural network. 140. 1172–1178. 28 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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