M.A. Elbestawi

12.4k total citations
232 papers, 9.7k citations indexed

About

M.A. Elbestawi is a scholar working on Mechanical Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, M.A. Elbestawi has authored 232 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 215 papers in Mechanical Engineering, 101 papers in Biomedical Engineering and 48 papers in Automotive Engineering. Recurrent topics in M.A. Elbestawi's work include Advanced machining processes and optimization (129 papers), Advanced Surface Polishing Techniques (88 papers) and Additive Manufacturing Materials and Processes (67 papers). M.A. Elbestawi is often cited by papers focused on Advanced machining processes and optimization (129 papers), Advanced Surface Polishing Techniques (88 papers) and Additive Manufacturing Materials and Processes (67 papers). M.A. Elbestawi collaborates with scholars based in Canada, United States and Egypt. M.A. Elbestawi's co-authors include Stephen C. Veldhuis, Tahany El-Wardany, Nalini Singhal, Mostafa Yakout, Hossam A. Kishawy, Dalia Mahmoud, Ahmed H. Maamoun, Eskandar Fereiduni, Ali Ghasemi and Mohamed N.A. Nasr and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Materials Science and Engineering A and Journal of Alloys and Compounds.

In The Last Decade

M.A. Elbestawi

230 papers receiving 9.2k 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.A. Elbestawi Canada 55 8.6k 3.3k 2.4k 1.9k 1.4k 232 9.7k
Kornel F. Ehmann United States 48 6.4k 0.7× 3.5k 1.1× 849 0.4× 1.9k 1.0× 975 0.7× 313 8.7k
Luís Norberto López de Lacalle Spain 68 11.3k 1.3× 4.6k 1.4× 1.0k 0.4× 4.2k 2.2× 2.5k 1.7× 395 12.9k
Aitzol Lamíkiz Spain 52 7.0k 0.8× 1.9k 0.6× 1.8k 0.7× 1.5k 0.8× 1.3k 0.9× 243 7.7k
Radovan Kovacevic United States 65 10.6k 1.2× 1.1k 0.3× 2.1k 0.9× 791 0.4× 891 0.6× 303 12.6k
Shreyes N. Melkote United States 51 5.8k 0.7× 4.0k 1.2× 428 0.2× 2.3k 1.2× 1.7k 1.2× 248 7.6k
Berend Denkena Germany 40 7.6k 0.9× 3.9k 1.2× 423 0.2× 2.2k 1.2× 2.5k 1.7× 724 9.5k
Eckart Uhlmann Germany 35 5.0k 0.6× 2.8k 0.8× 621 0.3× 1.7k 0.9× 898 0.6× 375 6.1k
Y. B. Guo United States 48 6.5k 0.8× 2.3k 0.7× 1.7k 0.7× 1.9k 1.0× 923 0.6× 198 7.8k
Zhanqiang Liu China 52 6.7k 0.8× 3.2k 1.0× 469 0.2× 3.0k 1.6× 1.1k 0.7× 386 8.5k
Fritz Klocke Germany 57 13.9k 1.6× 8.1k 2.5× 1.7k 0.7× 5.8k 3.0× 2.3k 1.6× 768 16.7k

Countries citing papers authored by M.A. Elbestawi

Since Specialization
Citations

This map shows the geographic impact of M.A. Elbestawi'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. Elbestawi 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. Elbestawi more than expected).

Fields of papers citing papers by M.A. Elbestawi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.A. Elbestawi

This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Elbestawi. A scholar is included among the top collaborators of M.A. Elbestawi 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.A. Elbestawi. M.A. Elbestawi 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.
Fereiduni, Eskandar, et al.. (2025). Additive Manufacturing of Negative Thermal Expansion Metamaterials Using Steels. Advanced Materials Technologies. 11(1).
2.
Fereiduni, Eskandar, Ali Ghasemi, Mohamed Balbaa, et al.. (2025). Synergy of laser powder bed fusion (LPBF) and heat treatment for CuNi2SiCr alloy enhancement. Materials & Design. 255. 114189–114189. 2 indexed citations
3.
4.
Fereiduni, Eskandar, et al.. (2024). Optimizing magnetic performance of Fe–50Ni alloy for electric motor cores through LPBF: A study of as-built and heat-treated scenarios. Journal of Materials Research and Technology. 29. 2554–2571. 4 indexed citations
5.
Elbestawi, M.A., et al.. (2024). Development of a novel TiAl-Ti6Al4V alloy via laser powder bed fusion. Manufacturing Letters. 42. 1–4. 1 indexed citations
6.
Kishawy, Hossam A., et al.. (2023). Machining characteristics of additively manufactured titanium, cutting mechanics and chip morphology. CIRP Annals. 72(1). 49–52. 8 indexed citations
7.
Fereiduni, Eskandar, Mohamed Balbaa, Dalia Mahmoud, et al.. (2023). Processing of hydroxyapatite (HA)–Ti–6Al–4V composite powders via laser powder bed fusion (LPBF): effect of HA particle size and content on the microstructure and mechanical properties. Journal of Materials Research and Technology. 24. 8766–8781. 6 indexed citations
8.
Fereiduni, Eskandar, Ali Ghasemi, & M.A. Elbestawi. (2020). Selective Laser Melting of Aluminum and Titanium Matrix Composites: Recent Progress and Potential Applications in the Aerospace Industry. Aerospace. 7(6). 77–77. 94 indexed citations
9.
Elbestawi, M.A., et al.. (2020). Real Time Monitoring in L-PBF Using a Machine Learning Approach. Procedia Manufacturing. 51. 725–731. 14 indexed citations
10.
Balbaa, Mohamed, Ali Ghasemi, Eskandar Fereiduni, et al.. (2020). Role of powder particle size on laser powder bed fusion processability of AlSi10mg alloy. Additive manufacturing. 37. 101630–101630. 118 indexed citations
11.
Fereiduni, Eskandar, Ali Ghasemi, & M.A. Elbestawi. (2019). Characterization of Composite Powder Feedstock from Powder Bed Fusion Additive Manufacturing Perspective. Materials. 12(22). 3673–3673. 61 indexed citations
12.
Yakout, Mostafa, M.A. Elbestawi, & Stephen C. Veldhuis. (2018). Density and mechanical properties in selective laser melting of Invar 36 and stainless steel 316L. Journal of Materials Processing Technology. 266. 397–420. 205 indexed citations
13.
Mahmoud, Dalia & M.A. Elbestawi. (2017). Lattice Structures and Functionally Graded Materials Applications in Additive Manufacturing of Orthopedic Implants: A Review. Journal of Manufacturing and Materials Processing. 1(2). 13–13. 272 indexed citations
14.
Barari, Ahmad, et al.. (2016). On the surface quality of additive manufactured parts. The International Journal of Advanced Manufacturing Technology. 89(5-8). 1969–1974. 66 indexed citations
15.
Singhal, Nalini, et al.. (2005). Finite element modeling of erosive wear. International Journal of Machine Tools and Manufacture. 45(11). 1337–1346. 163 indexed citations
16.
El-Wardany, Tahany, et al.. (2002). PHYSICS-BASED SIMULATION OF HIGH SPEED MACHINING. Machining Science and Technology. 6(3). 301–329. 101 indexed citations
17.
Tounsi, Nejah, et al.. (2002). From the basic mechanics of orthogonal metal cutting toward the identification of the constitutive equation. International Journal of Machine Tools and Manufacture. 42(12). 1373–1383. 204 indexed citations
18.
Elbestawi, M.A., et al.. (2000). A Mechanistic Force Model of the 5-Axis Milling Process. 979–987. 4 indexed citations
19.
Spence, Allan D., et al.. (1996). Integrated Modeling for Metal Removal Operations. Dynamic Systems and Control. 191–198. 5 indexed citations
20.
Elbestawi, M.A., et al.. (1990). A simulation system for improving machining accuracy in milling. Computers in Industry. 14(4). 293–305. 26 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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