A. Fathy

5.4k total citations · 2 hit papers
89 papers, 4.7k citations indexed

About

A. Fathy is a scholar working on Mechanical Engineering, Ceramics and Composites and Mechanics of Materials. According to data from OpenAlex, A. Fathy has authored 89 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Mechanical Engineering, 32 papers in Ceramics and Composites and 22 papers in Mechanics of Materials. Recurrent topics in A. Fathy's work include Aluminum Alloys Composites Properties (63 papers), Advanced ceramic materials synthesis (32 papers) and Advanced materials and composites (30 papers). A. Fathy is often cited by papers focused on Aluminum Alloys Composites Properties (63 papers), Advanced ceramic materials synthesis (32 papers) and Advanced materials and composites (30 papers). A. Fathy collaborates with scholars based in Egypt, Saudi Arabia and China. A. Fathy's co-authors include A. Wagih, Omyma Elkady, A.M. Sadoun, Ahmed Abu-Oqail, F. Shehata, Magdy M. Abdelhameed, Omayma A. Elkady, A. A. Megahed, M. Elmahdy and A.M. Kabeel and has published in prestigious journals such as Scientific Reports, Materials Science and Engineering A and Journal of Materials Science.

In The Last Decade

A. Fathy

86 papers receiving 4.6k citations

Hit Papers

Effect of SiC particle size on the physical and mechanica... 2013 2026 2017 2021 2013 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Fathy Egypt 50 4.0k 1.6k 1.4k 901 570 89 4.7k
Seyed Abdolkarim Sajjadi Iran 34 3.6k 0.9× 1.8k 1.1× 1.2k 0.9× 733 0.8× 1.1k 1.9× 158 4.8k
Temel Varol Türkiye 37 2.6k 0.6× 897 0.6× 922 0.7× 435 0.5× 481 0.8× 103 3.1k
Walter Krenkel Germany 29 1.9k 0.5× 1.0k 0.6× 2.0k 1.4× 856 1.0× 256 0.4× 132 3.2k
Amirhossein Pakseresht Iran 33 2.0k 0.5× 1.2k 0.8× 903 0.6× 306 0.3× 748 1.3× 69 3.1k
S. Aravindan India 38 4.2k 1.0× 1.2k 0.7× 669 0.5× 878 1.0× 385 0.7× 174 4.9k
A. Wagih Egypt 34 2.1k 0.5× 811 0.5× 656 0.5× 1.2k 1.3× 204 0.4× 82 2.9k
Yongxian Huang China 48 5.9k 1.5× 1.6k 1.0× 431 0.3× 823 0.9× 2.0k 3.4× 209 6.8k
Shangwu Fan China 30 1.7k 0.4× 886 0.6× 1.4k 1.0× 669 0.7× 299 0.5× 107 2.7k
Pasquale Cavaliere Italy 41 5.3k 1.3× 1.8k 1.1× 757 0.5× 845 0.9× 2.5k 4.5× 201 6.2k

Countries citing papers authored by A. Fathy

Since Specialization
Citations

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

Fields of papers citing papers by A. Fathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Fathy

This figure shows the co-authorship network connecting the top 25 collaborators of A. Fathy. A scholar is included among the top collaborators of A. Fathy 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 A. Fathy. A. Fathy 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.
Elamin, Nuha Y., et al.. (2025). Machine learning-enabled discrete transfer function modeling and optimization of mechanical properties in ARB-fabricated Al/Ni/SiC nanocomposites. Materials Today Communications. 49. 113777–113777. 1 indexed citations
2.
Barakat, Waheed S., et al.. (2025). Microstructure and wear behavior of aluminum matrix composites reinforced with copper-coated cubic boron nitride nanoparticles. Tribology International. 214. 111148–111148.
3.
Alsaleh, Naser A., et al.. (2025). Optimizing TiO2 content for balanced mechanical and corrosion properties in Cu-1 %CNT nanocomposites. Journal of Materials Research and Technology. 39. 6395–6412.
4.
Fathy, A., et al.. (2024). To what extent can the drilling process affect the drilling performance in Al‐mesh/GFRE hybrid composites?. Polymer Composites. 46(8). 7179–7196. 3 indexed citations
5.
Ahmadian, Hossein, Tianfeng Zhou, A.M. Sadoun, et al.. (2024). Optimized ball milling and sequential addition of SiC and MWCNTs reinforcements for enhanced performance of copper hybrid composites. Results in Engineering. 24. 103471–103471. 23 indexed citations
6.
Ahmadian, Hossein, et al.. (2024). Recent Advances and Applications of Carbon Nanotubes (CNTs) in Machining Processes: A Review. Journal of Manufacturing and Materials Processing. 8(6). 282–282. 12 indexed citations
7.
Elamy, Mamdouh I., Mohamed Abd Elaziz, Mohammed Azmi Al‐Betar, A. Fathy, & M. Elmahdy. (2024). Enhanced random vector functional link based on artificial protozoa optimizer to predict wear characteristics of Cu-ZrO2 nanocomposites. Results in Engineering. 24. 103007–103007. 26 indexed citations
8.
Ahmadian, Hossein, et al.. (2024). A novel strategy for activation technique for 6H-SiC substrates in electroless Ni-P plating processes. Results in Engineering. 24. 103126–103126. 14 indexed citations
10.
Ahmadian, Hossein, A.M. Sadoun, A. Fathy, & Tianfeng Zhou. (2023). Utilizing a unified conceptual dynamic model for prediction of particle size of duel-matrix nanocomposites during mechanical alloying. Powder Technology. 418. 118291–118291. 64 indexed citations
11.
Ghandourah, Emad, Hossein Ahmadian, Tianfeng Zhou, et al.. (2023). Comprehensive investigation of the impact of milling time on microstructural evolution and tribological properties in Mg-Ti-SiC hybrid composites. Materials Today Communications. 38. 107835–107835. 52 indexed citations
12.
13.
Najjar, I.M.R., et al.. (2023). A modified artificial neural network to predict the tribological properties of Al-SiC nanocomposites fabricated by accumulative roll bonding process. Journal of Composite Materials. 57(21). 3433–3445. 26 indexed citations
14.
Fathy, A., et al.. (2023). Effect of drilling process parameters on bearing strength of glass fiber/aluminum mesh reinforced epoxy composites. Scientific Reports. 13(1). 12143–12143. 34 indexed citations
15.
Sadoun, A.M., et al.. (2023). On the understanding and prediction of tribological properties of Al-TiO2 nanocomposites using artificial neural network. Journal of Composite Materials. 57(14). 2325–2337. 25 indexed citations
16.
Sadoun, A.M., Moustafa M. Mohammed, A. Fathy, & Omyma Elkady. (2020). Effect of Al2O3 addition on hardness and wear behavior of Cu–Al2O3 electro-less coated Ag nanocomposite. Journal of Materials Research and Technology. 9(3). 5024–5033. 62 indexed citations
17.
Gómez, F.J., et al.. (2018). Use of iterative algorithms to calculate the softening curve in concrete. Boletín de la Sociedad Española de Cerámica y Vidrio. 58(2). 64–68. 2 indexed citations
18.
Wagih, A. & A. Fathy. (2018). Improving compressibility and thermal properties of Al–Al2O3 nanocomposites using Mg particles. Journal of Materials Science. 53(16). 11393–11402. 59 indexed citations
19.
Mahallawy, Nahed El, A. Fathy, Mohamed Hassan, & Walaa Abd‐Elaziem. (2017). Evaluation of mechanical properties and microstructure of Al/Al–12%Si multilayer via warm accumulative roll bonding process. Journal of Composite Materials. 62 indexed citations
20.
Fathy, A.. (1954). Hydraulics of the Free Overfall. 80(12). 1–12. 15 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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