M. El-Sayed Wahed

567 citations
23 papers · 286 · h-index 5

Impact in

Papers in

M. El-Sayed Wahed

19 papers receiving 260 citations

Peers

M. El-Sayed Wahed
Comparison fields: 5 of 51
  • Computer Networks and Communications 179
  • Human-Computer Interaction 24
  • Electrical and Electronic Engineering 118
  • Developmental and Educational Psychology 23
  • Computer Vision and Pattern Recognition 38
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Raed T. Al‐Zubi Jordan
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Citations per year

Countries citing papers authored by M. El-Sayed Wahed

Since Specialization
Citations

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

Fields of papers citing papers by M. El-Sayed Wahed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside M. El-Sayed Wahed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. El-Sayed Wahed Line = papers co-authored together M. El-Sayed Wahed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017185
2 201630
3 201318
4 200717
5 202311
6 20094
7 20153
8
The Future Vision for the Design of E-government in Egypt
20133
9 20072
10
Application of genetic algorithm for optimization the safety system of the nuclear reactor
20092
11 20172
12 20092
13
Genetic algorithms and neural networks for solving water quality model of the Egyptian research reactor
20091
14 20081
15 20121
16 20141
17
A comparative study to solve the Differential Algebraic Equation Systems by Using Genetic Algorithm and Neural Networks
20151
18 20181
19 20141
20 20240

About M. El-Sayed Wahed

M. El-Sayed Wahed is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering and Media Technology, having authored 23 papers that have together received 286 indexed citations. Recurring topics across this work include Risk and Safety Analysis (3 papers), Image and Signal Denoising Methods (3 papers), Security in Wireless Sensor Networks (2 papers), Nuclear reactor physics and engineering (2 papers), Robotics and Sensor-Based Localization (1 paper), Medical Image Segmentation Techniques (1 paper), Advanced Control Systems Design (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Computer Networks and Communications (179 citations), Human-Computer Interaction (24 citations), Electrical and Electronic Engineering (118 citations), Developmental and Educational Psychology (23 citations) and Computer Vision and Pattern Recognition (38 citations). M. El-Sayed Wahed has collaborated with scholars based in Egypt and Saudi Arabia. Frequent co-authors include Mohamed Elshrkawey, Gh. S. El-Tawel, Mohamed Meselhy Eltoukhy, Tarek Gaber, Hassan Shaban, A. A. Salama, Y. A. Amer and Tarek M. Mahmoud. Their work appears in journals such as Scientific Reports, Egyptian Informatics Journal, Nuclear Engineering and Design, Journal of King Saud University - Computer and Information Sciences and Nuclear Science and Engineering.

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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