M. Al-Dabbagh

995 total citations
33 papers, 827 citations indexed

About

M. Al-Dabbagh is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Astronomy and Astrophysics. According to data from OpenAlex, M. Al-Dabbagh has authored 33 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 24 papers in Control and Systems Engineering and 5 papers in Astronomy and Astrophysics. Recurrent topics in M. Al-Dabbagh's work include Power Systems Fault Detection (18 papers), Power System Optimization and Stability (12 papers) and Islanding Detection in Power Systems (11 papers). M. Al-Dabbagh is often cited by papers focused on Power Systems Fault Detection (18 papers), Power System Optimization and Stability (12 papers) and Islanding Detection in Power Systems (11 papers). M. Al-Dabbagh collaborates with scholars based in Australia, Malaysia and Iran. M. Al-Dabbagh's co-authors include Hossein Askarian Abyaneh, Hossein Kazemi Karegar, Farzad Razavi, Reza Mohammadi Chabanloo, Hossein Torkaman, S.H.H. Sadeghi, Ahmed M. A. Haidar, Aini Hussain, Saman Halgamuge and Yi Wang and has published in prestigious journals such as IEEE Transactions on Power Delivery, Electric Power Systems Research and IEEE Industrial Electronics Magazine.

In The Last Decade

M. Al-Dabbagh

31 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Al-Dabbagh Australia 12 768 726 27 26 18 33 827
Arturo Conde Enrı́quez Mexico 15 818 1.1× 810 1.1× 20 0.7× 26 1.0× 30 1.7× 46 883
Junya Matsuki Japan 13 532 0.7× 339 0.5× 43 1.6× 22 0.8× 9 0.5× 98 588
Mojtaba Khederzadeh Iran 17 910 1.2× 827 1.1× 43 1.6× 12 0.5× 12 0.7× 59 954
Sudhir R. Bhide India 12 755 1.0× 741 1.0× 15 0.6× 14 0.5× 6 0.3× 18 793
Adriano Peres de Morais Brazil 14 506 0.7× 491 0.7× 75 2.8× 27 1.0× 24 1.3× 58 567
Z.Q. Bo China 14 620 0.8× 546 0.8× 26 1.0× 38 1.5× 75 4.2× 59 677
Mohammad R. Dadash Zadeh Canada 18 814 1.1× 756 1.0× 31 1.1× 10 0.4× 57 3.2× 43 906
N. Perera Canada 12 343 0.4× 333 0.5× 16 0.6× 16 0.6× 27 1.5× 21 395
G. Shabib Egypt 15 894 1.2× 825 1.1× 11 0.4× 20 0.8× 12 0.7× 53 973
B.A. Souza Brazil 9 622 0.8× 620 0.9× 67 2.5× 29 1.1× 50 2.8× 20 715

Countries citing papers authored by M. Al-Dabbagh

Since Specialization
Citations

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

Fields of papers citing papers by M. Al-Dabbagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Al-Dabbagh. 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 M. Al-Dabbagh. The network helps show where M. Al-Dabbagh may publish in the future.

Co-authorship network of co-authors of M. Al-Dabbagh

This figure shows the co-authorship network connecting the top 25 collaborators of M. Al-Dabbagh. A scholar is included among the top collaborators of M. Al-Dabbagh 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 M. Al-Dabbagh. M. Al-Dabbagh 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.
Chabanloo, Reza Mohammadi, Hossein Askarian Abyaneh, Farzad Razavi, M. Al-Dabbagh, & S.H.H. Sadeghi. (2010). Optimal Relays Coordination Efficient Method in Interconnected Power Systems. Journal of Electrical Engineering. 61(2). 75–83. 48 indexed citations
2.
Haidar, Ahmed M. A., Azah Mohamed, M. Al-Dabbagh, Aini Hussain, & Mohammad A. S. Masoum. (2009). AN INTELLIGENT LOAD SHEDDING SCHEME USING NEURAL NETWORKS AND NEURO-FUZZY. International Journal of Neural Systems. 19(6). 473–479. 18 indexed citations
3.
Haidar, Ahmed M. A., Abdul Rahman Mohamed, M. Al-Dabbagh, & Aini Hussain. (2008). Vulnerability assessment and control of large scale interconnected power systems using neural networks and neuro-fuzzy techniques. Australasian Universities Power Engineering Conference. 1–6. 7 indexed citations
4.
Nizam, Muhammad, Abdul Rahman Mohamed, M. Al-Dabbagh, & Aini Hussain. (2008). Using Support Vector Machine For Prediction Dynamic Voltage Collapse In An Actual Power System. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations
5.
Nizam, Muhammad, Abdul Rahman Mohamed, M. Al-Dabbagh, & Aini Hussain. (2008). Using support vector machines for determining voltage unstable areas in power systems. 878–883. 6 indexed citations
6.
Han, Fengling, Xinghuo Yu, M. Al-Dabbagh, & Yi Wang. (2007). Locating Phase-to-Ground Short-Circuit Faults on Radial Distribution Lines. IEEE Industrial Electronics Magazine. 54(3). 1581–1590. 32 indexed citations
7.
Razavi, Farzad, Hossein Askarian Abyaneh, M. Al-Dabbagh, Reza Mohammadi Chabanloo, & Hossein Torkaman. (2007). A new comprehensive genetic algorithm method for optimal overcurrent relays coordination. Electric Power Systems Research. 78(4). 713–720. 239 indexed citations
8.
Al-Dabbagh, M., et al.. (2005). UPFC controller in mitigating line congestion for cost-efficient power delivery. 1–382. 6 indexed citations
9.
Al-Dabbagh, M., et al.. (2005). Time-frequency distribution application for sub-synchronous resonance analysis in power systems. 771–775 Vol. 2. 5 indexed citations
10.
11.
Abyaneh, Hossein Askarian, Hossein Kazemi Karegar, & M. Al-Dabbagh. (2004). Interpolation of measured data based on neural network to model overcurrent relays in power systems. Asian Control Conference. 3. 1393–1397. 4 indexed citations
12.
Karegar, Hossein Kazemi, Hossein Askarian Abyaneh, & M. Al-Dabbagh. (2003). A flexible approach for overcurrent relay characteristics simulation. Electric Power Systems Research. 66(3). 233–239. 27 indexed citations
13.
Al-Dabbagh, M., et al.. (2003). Neural networks based algorithm for detecting high impedance faults on power distribution lines. 5. 3386–3390. 9 indexed citations
14.
Abyaneh, Hossein Askarian, et al.. (2002). A New Optimal Approach for Coordination of Overcurrent Relays in Interconnected Power Systems. IEEE Power Engineering Review. 22(6). 60–60. 126 indexed citations
15.
Al-Dabbagh, M.. (2002). Computer aided power system analysis and design. 347–353. 1 indexed citations
16.
Abyaneh, Hossein Askarian, et al.. (2002). Constraints reduction of the optimal coordination of overcurrent relays. 1–6. 3 indexed citations
17.
Al-Dabbagh, M., et al.. (2001). Steady-state phase-coordinate model for induction machines. Electric Power Systems Research. 57(3). 189–194. 2 indexed citations
18.
Al-Dabbagh, M., et al.. (1995). Improved phase-coordinate Gauss-Seidel load flow algorithm. Electric Power Systems Research. 34(2). 91–95. 4 indexed citations
19.
Al-Dabbagh, M., et al.. (1989). Improved microprocessor based distribution feeder earth fault protection using pattern recognition. 172–176. 2 indexed citations
20.
Humpage, W.D., K.P. Wong, M. Al-Dabbagh, & Emad Mukhtar. (1974). Dynamic simulation of high-speed protection. Proceedings of the Institution of Electrical Engineers. 121(6). 474–474. 4 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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