Ahmed Naser

992 total citations · 1 hit paper
11 papers, 657 citations indexed

About

Ahmed Naser is a scholar working on Mechanical Engineering, Automotive Engineering and Biomaterials. According to data from OpenAlex, Ahmed Naser has authored 11 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Mechanical Engineering, 4 papers in Automotive Engineering and 3 papers in Biomaterials. Recurrent topics in Ahmed Naser's work include Aluminum Alloys Composites Properties (4 papers), Advanced Welding Techniques Analysis (4 papers) and Additive Manufacturing and 3D Printing Technologies (4 papers). Ahmed Naser is often cited by papers focused on Aluminum Alloys Composites Properties (4 papers), Advanced Welding Techniques Analysis (4 papers) and Additive Manufacturing and 3D Printing Technologies (4 papers). Ahmed Naser collaborates with scholars based in Canada, United Arab Emirates and United Kingdom. Ahmed Naser's co-authors include Ibrahim Deiab, Basil M. Darras, Sheng Yang, Fantahun M. Defersha, Xun Xu, Yaoyao Fiona Zhao, Eujin Pei, Amir H. Gandomi, Venkatesh Kodur and M.Z. Naser and has published in prestigious journals such as SHILAP Revista de lepidopterología, RSC Advances and Polymers.

In The Last Decade

Ahmed Naser

10 papers receiving 636 citations

Hit Papers

Poly(lactic acid) (PLA) and polyhydroxyalkanoates (PHAs),... 2021 2026 2022 2024 2021 100 200 300 400

Peers

Ahmed Naser
Ahmed Naser
Citations per year, relative to Ahmed Naser Ahmed Naser (= 1×) peers T. Angelin Swetha

Countries citing papers authored by Ahmed Naser

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Naser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Naser

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Naser. A scholar is included among the top collaborators of Ahmed Naser 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 Ahmed Naser. Ahmed Naser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Naser, Ahmed. (2024). A proposed CLCOA Technique Based on CLAHE using Cat Optimized Algorithm for Plants Images Enhancement. SHILAP Revista de lepidopterología. 3(1). 18–27.
2.
Naser, M.Z., Armin Dadras Eslamlou, Ahmed Naser, et al.. (2024). A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics with Mathematical and Visual Descriptions. arXiv (Cornell University). 3 indexed citations
3.
Naser, Ahmed, Fantahun M. Defersha, Eujin Pei, Yaoyao Fiona Zhao, & Sheng Yang. (2023). Toward automated life cycle assessment for additive manufacturing: A systematic review of influential parameters and framework design. Sustainable Production and Consumption. 41. 253–274. 14 indexed citations
4.
Naser, Ahmed, Fantahun M. Defersha, & Sheng Yang. (2023). Feature selection and framework design toward data-driven predictive sustainability assessment and optimization for additive manufacturing. Transactions of the Canadian Society for Mechanical Engineering. 48(4). 523–533. 1 indexed citations
5.
Naser, Ahmed, Fantahun M. Defersha, Xun Xu, & Sheng Yang. (2023). Automating life cycle assessment for additive manufacturing with machine learning: Framework design, dataset buildup, and a case study. Journal of Manufacturing Systems. 71. 504–526. 18 indexed citations
6.
Naser, Ahmed, Ibrahim Deiab, & Basil M. Darras. (2021). Poly(lactic acid) (PLA) and polyhydroxyalkanoates (PHAs), green alternatives to petroleum-based plastics: a review. RSC Advances. 11(28). 17151–17196. 486 indexed citations breakdown →
7.
Naser, Ahmed, Basil M. Darras, & Mohammad A. Nazzal. (2021). Mechanical Behaviour of Mg/SiC Composite Processed by Friction Stir Processing. Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering. 1 indexed citations
8.
Naser, Ahmed, Ibrahim Deiab, Fantahun M. Defersha, & Sheng Yang. (2021). Expanding Poly(lactic acid) (PLA) and Polyhydroxyalkanoates (PHAs) Applications: A Review on Modifications and Effects. Polymers. 13(23). 4271–4271. 98 indexed citations
9.
Naser, Ahmed & Basil M. Darras. (2017). Micro-hardness prediction of friction stir processed magnesium alloy via response surface methodology. Multidiscipline Modeling in Materials and Structures. 13(3). 377–390. 3 indexed citations
10.
Naser, Ahmed & Basil M. Darras. (2016). Experimental investigation of Mg/SiC composite fabrication via friction stir processing. The International Journal of Advanced Manufacturing Technology. 91(1-4). 781–790. 26 indexed citations
11.
Darras, Basil M., Ibrahim Deiab, & Ahmed Naser. (2014). Prediction of Friction Stir Processed AZ31 Magnesium Alloy Micro-Hardness Using Artificial Neural Networks. Advanced materials research. 1043. 91–95. 7 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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