K. M. El-Naggar

2.2k total citations · 1 hit paper
50 papers, 1.8k citations indexed

About

K. M. El-Naggar is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, K. M. El-Naggar has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 18 papers in Control and Systems Engineering and 7 papers in Artificial Intelligence. Recurrent topics in K. M. El-Naggar's work include Power Quality and Harmonics (15 papers), Power System Optimization and Stability (14 papers) and Power Systems Fault Detection (14 papers). K. M. El-Naggar is often cited by papers focused on Power Quality and Harmonics (15 papers), Power System Optimization and Stability (14 papers) and Power Systems Fault Detection (14 papers). K. M. El-Naggar collaborates with scholars based in Kuwait, Egypt and Canada. K. M. El-Naggar's co-authors include M. R. AlRashidi, A. K. Al-Othman, M. F. AlHajri, Hosam K. M. Youssef, G. S. Christensen, S.A. Soliman, H.M. Al-Hamadi, Mahmoud Gilany, Nabil A. Ahmed and Bader N. Alajmi and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Renewable Energy.

In The Last Decade

K. M. El-Naggar

50 papers receiving 1.7k citations

Hit Papers

Simulated Annealing algorithm for photovoltaic parameters... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. M. El-Naggar Kuwait 17 1.1k 1.0k 907 272 71 50 1.8k
Yann-Chang Huang Taiwan 17 1.3k 1.2× 323 0.3× 478 0.5× 462 1.7× 34 0.5× 43 1.5k
Magdy B. Eteiba Egypt 17 1.0k 0.9× 1.1k 1.0× 1.0k 1.1× 375 1.4× 389 5.5× 38 2.1k
Silvano Vergura Italy 19 451 0.4× 687 0.7× 414 0.5× 109 0.4× 36 0.5× 89 1.0k
Dalia Allam Egypt 14 636 0.6× 794 0.8× 764 0.8× 218 0.8× 67 0.9× 30 1.3k
Abdelkader Abbassi Tunisia 12 566 0.5× 639 0.6× 650 0.7× 260 1.0× 238 3.4× 22 1.3k
Suttichai Premrudeepreechacharn Thailand 27 1.8k 1.7× 405 0.4× 296 0.3× 1.0k 3.7× 136 1.9× 147 2.2k
A. K. Al-Othman Kuwait 20 1.6k 1.4× 1.1k 1.1× 913 1.0× 537 2.0× 244 3.4× 44 2.4k
Ying-Tung Hsiao Taiwan 16 746 0.7× 302 0.3× 242 0.3× 446 1.6× 41 0.6× 38 1.1k
Dongyuan Shi China 19 616 0.6× 588 0.6× 790 0.9× 218 0.8× 50 0.7× 35 1.4k
P. Caramia Italy 22 1.4k 1.3× 132 0.1× 162 0.2× 494 1.8× 70 1.0× 119 1.6k

Countries citing papers authored by K. M. El-Naggar

Since Specialization
Citations

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

Fields of papers citing papers by K. M. El-Naggar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. M. El-Naggar

This figure shows the co-authorship network connecting the top 25 collaborators of K. M. El-Naggar. A scholar is included among the top collaborators of K. M. El-Naggar 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 K. M. El-Naggar. K. M. El-Naggar 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.
AlHajri, M. F., M. R. AlRashidi, & K. M. El-Naggar. (2018). Long-term electric load forecast in Kuwaiti and Egyptian power systems. Journal of Engineering Research. 6(3). 116–135. 5 indexed citations
2.
Al-Othman, A. K., et al.. (2016). Experimental implementation of PEM fuel cell powered DC motor for vehicle applications. Journal of Engineering Research. 4(3). 95–113. 2 indexed citations
3.
Al-Othman, A. K., et al.. (2016). Speed Control of Electric Vehicle. 5 indexed citations
4.
Al-Othman, A. K., et al.. (2015). On-line Estimation of Transmission Line Parameters Using Synchronized Measurements. Electric Power Components and Systems. 44(2). 233–239. 19 indexed citations
5.
AlRashidi, M. R., K. M. El-Naggar, & M. F. AlHajri. (2013). Solar Cell Parameters Estimation Using Simulated Annealing Algorithm. Zenodo (CERN European Organization for Nuclear Research). 11 indexed citations
6.
AlRashidi, M. R., K. M. El-Naggar, & M. F. AlHajri. (2012). Heuristic approach for estimating the solar cell parameters. International Urogynecology Journal. 31(9). 80–83. 14 indexed citations
7.
AlHajri, M. F., K. M. El-Naggar, M. R. AlRashidi, & A. K. Al-Othman. (2012). Optimal extraction of solar cell parameters using pattern search. Renewable Energy. 44. 238–245. 333 indexed citations
8.
Al-Hamadi, H.M. & K. M. El-Naggar. (2010). Measurement of synchronous machine parameters using Kalman filter based fuzzy logic estimator. Measurement. 43(10). 1327–1335. 13 indexed citations
9.
Al-Othman, A. K. & K. M. El-Naggar. (2009). A New Digital Dynamic Algorithm for Detection of Magnetizing Inrush Current in Transformers. Electric Power Components and Systems. 37(4). 355–372. 9 indexed citations
10.
El-Naggar, K. M., M. R. AlRashidi, & A. K. Al-Othman. (2009). Estimating the input–output parameters of thermal power plants using PSO. Energy Conversion and Management. 50(7). 1767–1772. 28 indexed citations
11.
AlRashidi, M. R., et al.. (2009). HEURISTIC APPROACH FOR OPTIMAL PARAMETER ESTIMATION OF ELECTRIC LOAD FORECAST MODEL. AIP conference proceedings. 49–53. 1 indexed citations
12.
El-Naggar, K. M.. (2009). Estimation Of Load Impedance In Presence Of Harmonics. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
13.
Al-Othman, A. K. & K. M. El-Naggar. (2007). Application of pattern search method to power system security constrained economic dispatch with non-smooth cost function. Electric Power Systems Research. 78(4). 667–675. 17 indexed citations
14.
El-Naggar, K. M., et al.. (2007). Optimal PWM Control of a New Generalized Family of Multilevel Inverters. Electric Power Components and Systems. 36(1). 73–92. 11 indexed citations
15.
El-Naggar, K. M., et al.. (2006). Recursive identification of harmonic loads in power systems. International Journal of Electrical Power & Energy Systems. 28(8). 531–536. 4 indexed citations
16.
El-Naggar, K. M., et al.. (2005). A genetic based algorithm for measurement of power system disturbances. Electric Power Systems Research. 76(9-10). 808–814. 19 indexed citations
17.
El-Naggar, K. M., et al.. (2004). A genetic based algorithm for voltage flicker measurement. International Journal of Electrical Power & Energy Systems. 26(8). 593–596. 20 indexed citations
18.
El-Naggar, K. M., et al.. (2003). A genetic based algorithm for voltage flicker measurement. 36. 600–604. 6 indexed citations
19.
Soliman, S.A., et al.. (1992). Dynamic Tracking of The Steady State Power System Magnitude and Frequency Using Linear Kalman Filter a Variable Frequency Model. Electric Machines & Power Systems. 20(6). 593–611. 6 indexed citations
20.
Soliman, S.A., G. S. Christensen, & K. M. El-Naggar. (1992). A New Approximate Least Absolute Value Based on Dynamic Filtering Algorithm for On-Line Power System Frequency Relaying. Electric Machines & Power Systems. 20(6). 569–592. 5 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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