Hamad Hassan Awan

420 total citations
10 papers, 322 citations indexed

About

Hamad Hassan Awan is a scholar working on Civil and Structural Engineering, Environmental Engineering and Building and Construction. According to data from OpenAlex, Hamad Hassan Awan has authored 10 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Civil and Structural Engineering, 3 papers in Environmental Engineering and 3 papers in Building and Construction. Recurrent topics in Hamad Hassan Awan's work include Innovative concrete reinforcement materials (5 papers), Concrete and Cement Materials Research (5 papers) and Infrastructure Maintenance and Monitoring (4 papers). Hamad Hassan Awan is often cited by papers focused on Innovative concrete reinforcement materials (5 papers), Concrete and Cement Materials Research (5 papers) and Infrastructure Maintenance and Monitoring (4 papers). Hamad Hassan Awan collaborates with scholars based in Pakistan, Saudi Arabia and Egypt. Hamad Hassan Awan's co-authors include Abdeliazim Mustafa Mohamed, Muhammad Faisal Javed, Rayed Alyousef, Hisham Alabduljabbar, Ali Aldrees, Muhammad Faisal Javed, Majid Khan, Sayed M. Eldin, Sayed M. Eldin and Fahid Aslam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Physics Letters and Process Safety and Environmental Protection.

In The Last Decade

Hamad Hassan Awan

9 papers receiving 312 citations

Peers

Hamad Hassan Awan
Rachel Cook United States
Hamad Hassan Awan
Citations per year, relative to Hamad Hassan Awan Hamad Hassan Awan (= 1×) peers Rachel Cook

Countries citing papers authored by Hamad Hassan Awan

Since Specialization
Citations

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

Fields of papers citing papers by Hamad Hassan Awan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamad Hassan Awan. 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 Hamad Hassan Awan. The network helps show where Hamad Hassan Awan may publish in the future.

Co-authorship network of co-authors of Hamad Hassan Awan

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

All Works

10 of 10 papers shown
1.
Aslam, Fahid, Rayed Alyousef, Hamad Hassan Awan, & Muhammad Faisal Javed. (2023). Forecasting the self-healing capacity of engineered cementitious composites using bagging regressor and stacking regressor. Structures. 54. 1717–1728. 16 indexed citations
2.
Khan, Muhammad Basit, et al.. (2023). The Behavior of Pre-Treated Crumb Rubber and Polypropylene-Fiber-Incorporated Mortar Subjected to Elevated Temperatures. SHILAP Revista de lepidopterología. 12–12.
3.
Alabduljabbar, Hisham, Majid Khan, Hamad Hassan Awan, et al.. (2023). Predicting ultra-high-performance concrete compressive strength using gene expression programming method. Case Studies in Construction Materials. 18. e02074–e02074. 66 indexed citations
4.
Li, Piyu, Mohsin Ali Khan, Ahmed M. Galal, et al.. (2022). Sustainable use of chemically modified tyre rubber in concrete: Machine learning based novel predictive model. Chemical Physics Letters. 793. 139478–139478. 34 indexed citations
5.
Alabduljabbar, Hisham, Kaffayatullah Khan, Hamad Hassan Awan, et al.. (2022). Modeling the capacity of engineered cementitious composites for self-healing using AI-based ensemble techniques. Case Studies in Construction Materials. 18. e01805–e01805. 30 indexed citations
6.
Awan, Hamad Hassan, Arshad Hussain, Muhammad Faisal Javed, et al.. (2022). Predicting Marshall Flow and Marshall Stability of Asphalt Pavements Using Multi Expression Programming. Buildings. 12(3). 314–314. 38 indexed citations
7.
Islam, Md Kamrul, et al.. (2022). Prediction of Marshall Stability and Marshall Flow of Asphalt Pavements Using Supervised Machine Learning Algorithms. Symmetry. 14(11). 2324–2324. 18 indexed citations
8.
Althoey, Fadi, Muhammad Naveed Akhter, Hamad Hassan Awan, et al.. (2022). Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study. Case Studies in Construction Materials. 18. e01774–e01774. 33 indexed citations
9.
Aldrees, Ali, Hamad Hassan Awan, Muhammad Faisal Javed, & Abdeliazim Mustafa Mohamed. (2022). Prediction of water quality indexes with ensemble learners: Bagging and boosting. Process Safety and Environmental Protection. 168. 344–361. 68 indexed citations
10.
Awan, Hamad Hassan, et al.. (2021). Experimental Evaluation of Untreated and Pretreated Crumb Rubber Used in Concrete. Crystals. 11(5). 558–558. 19 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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