M. A. El-Dosuky

22 papers receiving 232 citations

Peers

M. A. El-Dosuky
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 40
  • Artificial Intelligence 61
  • Energy Engineering and Power Technology 5
  • Health Information Management 5
  • Industrial and Manufacturing Engineering 10
Replace Hanae Elmekki with:
Hanae Elmekki Canada
Saidul Islam United Arab Emirates
Md. Faisal Ahmed South Korea
Bharti Khemani India
Hazem Migdady Jordan
Yiju Zhan China
Τheofanis Kalampokas Greece
S. Kannadhasan India
Ade Silvia Handayani Indonesia
Keyvan Golalipour Iran
M. A. El-Dosuky relative to Hanae Elmekki Canada Hanae Elmekki's profile →
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Citations per year

Countries citing papers authored by M. A. El-Dosuky

Since Specialization
Citations

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

Fields of papers citing papers by M. A. El-Dosuky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. A. El-Dosuky, 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. A. El-Dosuky Line = papers co-authored together M. A. El-Dosuky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201472
2 202251
3 202320
4 202419
5 202215
6 202413
7 202110
8 201610
9 20255
10
FAFSA: Fast Artificial Fish Swarm Algorithm
20135
11
Subject Recommendation Using Ontology for Computer Science ACM Curricula
20144
12 20163
13 20193
14 20192
15 20202
16 20251
17 20241
18 20181
19 20201
20 20141

About M. A. El-Dosuky

M. A. El-Dosuky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Aerospace Engineering and Electrical and Electronic Engineering, having authored 30 papers that have together received 243 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Energy Load and Power Forecasting (3 papers), Anomaly Detection Techniques and Applications (2 papers), UAV Applications and Optimization (2 papers), Topic Modeling (2 papers), Robotic Path Planning Algorithms (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (40 citations), Artificial Intelligence (61 citations), Energy Engineering and Power Technology (5 citations), Health Information Management (5 citations) and Industrial and Manufacturing Engineering (10 citations). M. A. El-Dosuky has collaborated with scholars based in Egypt, Saudi Arabia and Yemen. Frequent co-authors include Aboul Ella Hassanien, El‐Sayed M. El‐kenawy, Zahraa Tarek, Ahmed M. Elshewey, Mahmoud Y. Shams, Ashraf Darwish, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Abdelaziz A. Abdelhamid, Heba Askr and Mohamed Torky. Their work appears in journals such as Drones, Computers, materials & continua/Computers, materials & continua (Print), Neural Computing and Applications, International Journal of Imaging Systems and Technology and Applied Soft Computing.

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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