Yaser Gamil

2.2k total citations · 2 hit papers
78 papers, 1.5k citations indexed

About

Yaser Gamil is a scholar working on Civil and Structural Engineering, Building and Construction and Management Science and Operations Research. According to data from OpenAlex, Yaser Gamil has authored 78 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Civil and Structural Engineering, 49 papers in Building and Construction and 16 papers in Management Science and Operations Research. Recurrent topics in Yaser Gamil's work include Innovative concrete reinforcement materials (33 papers), BIM and Construction Integration (23 papers) and Concrete and Cement Materials Research (19 papers). Yaser Gamil is often cited by papers focused on Innovative concrete reinforcement materials (33 papers), BIM and Construction Integration (23 papers) and Concrete and Cement Materials Research (19 papers). Yaser Gamil collaborates with scholars based in Malaysia, Sweden and Pakistan. Yaser Gamil's co-authors include Ismail Abdul Rahman, Taoufik Najeh, Majid Khan, Muhammad Fawad, Sasitharan Nagapan, Mana Alyami, Mujahid Ali, Hisham Alabduljabbar, Rab Nawaz and Jonny Nilimaa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Automation in Construction.

In The Last Decade

Yaser Gamil

74 papers receiving 1.4k citations

Hit Papers

Estimating compressive strength of concrete containing ri... 2024 2026 2025 2024 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaser Gamil Malaysia 22 725 683 335 130 126 78 1.5k
Noor Amila Wan Abdullah Zawawi Malaysia 22 726 1.0× 332 0.5× 401 1.2× 254 2.0× 105 0.8× 88 1.6k
Ahsan Waqar Malaysia 25 1.0k 1.4× 395 0.6× 517 1.5× 200 1.5× 227 1.8× 85 1.7k
N. Almeida Portugal 18 416 0.6× 427 0.6× 163 0.5× 103 0.8× 303 2.4× 65 1.3k
Tatiana García-Segura Spain 25 877 1.2× 954 1.4× 369 1.1× 196 1.5× 34 0.3× 55 1.8k
Abid Nadeem Hong Kong 23 1.2k 1.7× 1.1k 1.7× 438 1.3× 131 1.0× 43 0.3× 53 2.0k
Wai K. Chong United States 20 774 1.1× 189 0.3× 327 1.0× 257 2.0× 87 0.7× 60 1.3k
Sunkuk Kim South Korea 20 850 1.2× 301 0.4× 245 0.7× 96 0.7× 133 1.1× 173 1.5k
Syyed Adnan Raheel Shah Pakistan 21 400 0.6× 526 0.8× 92 0.3× 83 0.6× 57 0.5× 64 1.1k
Llewellyn Tang China 21 792 1.1× 225 0.3× 469 1.4× 121 0.9× 62 0.5× 82 1.6k
Yaowu Wang China 18 1.2k 1.7× 241 0.4× 588 1.8× 277 2.1× 75 0.6× 78 1.9k

Countries citing papers authored by Yaser Gamil

Since Specialization
Citations

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

Fields of papers citing papers by Yaser Gamil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaser Gamil

This figure shows the co-authorship network connecting the top 25 collaborators of Yaser Gamil. A scholar is included among the top collaborators of Yaser Gamil 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 Yaser Gamil. Yaser Gamil 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.
Najeh, Taoufik, Yaser Gamil, & Jonny Nilimaa. (2024). Forecasting maximum formwork pressure for self-compacting concrete using ARX-Laguerre machine learning model. Developments in the Built Environment. 18. 100409–100409.
2.
Mohamed, Radin Maya Saphira Radin, et al.. (2024). Assessment of the environmental impacts of utilizing coal ashes and OPC for soil stabilization applications: Leachate analysis in response to rainfall interaction. Case Studies in Construction Materials. 21. e03672–e03672. 1 indexed citations
3.
Najeh, Taoufik, et al.. (2024). Eco-Transformation of construction: Harnessing machine learning and SHAP for crumb rubber concrete sustainability. Heliyon. 10(5). e26927–e26927. 1 indexed citations
6.
Li, Kegang, Muhammad Zaka Emad, Yewuhalashet Fissha, et al.. (2024). Enhancing tunnel stability in the Himalayas: Empirical design support through numerical modelling. The Journal of Engineering. 2024(4). 1 indexed citations
7.
Ahmad, Hilal, et al.. (2024). Landslide risk assessment integrating susceptibility, hazard, and vulnerability analysis in Northern Pakistan. Discover Applied Sciences. 6(1). 13 indexed citations
8.
Khan, Afed Ullah, et al.. (2024). Divergent path: isolating land use and climate change impact on river runoff. Frontiers in Environmental Science. 12. 3 indexed citations
9.
Bheel, Naraindas, Mahmood Ahmad, Taoufik Najeh, et al.. (2024). Fracture analysis of steel fibre-reinforced concrete using Finite element method modeling. Frontiers in Materials. 11.
10.
Wang, Jing, et al.. (2024). Experimenting the influence of corncob ash on the mechanical strength of slag-based geopolymer concrete. REVIEWS ON ADVANCED MATERIALS SCIENCE. 63(1). 2 indexed citations
11.
Khan, Majid, Mujahid Ali, Taoufik Najeh, & Yaser Gamil. (2024). Computational prediction of workability and mechanical properties of bentonite plastic concrete using multi-expression programming. Scientific Reports. 14(1). 6105–6105. 25 indexed citations
12.
Fawad, Muhammad, Hisham Alabduljabbar, Furqan Farooq, et al.. (2024). Indirect prediction of graphene nanoplatelets-reinforced cementitious composites compressive strength by using machine learning approaches. Scientific Reports. 14(1). 14252–14252. 14 indexed citations
13.
Amran, Mugahed, et al.. (2024). Bonding strength performance of bamboo-based composite materials: An in-depth insight for sustainable construction applications. Heliyon. 10(13). e32155–e32155. 11 indexed citations
14.
Javed, Muhammad Faisal, et al.. (2024). Forecasting the strength of preplaced aggregate concrete using interpretable machine learning approaches. Scientific Reports. 14(1). 8381–8381. 17 indexed citations
15.
Gamil, Yaser, et al.. (2023). Automated Project Progress Monitoring in Construction Projects: A Review of Current Applications and Trends. Lecture notes in networks and systems. 274–293. 2 indexed citations
16.
Khan, Majid, et al.. (2023). Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms. Case Studies in Construction Materials. 20. e02744–e02744. 24 indexed citations
17.
Abdulhameed, Ali A., et al.. (2023). Experimental and environmental investigations of the impacts of wood sawdust on the performance of reinforced concrete composite beams. Case Studies in Construction Materials. 19. e02550–e02550. 12 indexed citations
19.
20.
Gamil, Yaser, et al.. (2019). Investigating the effect of poor communication in terms of cost and time overruns in the construction industry. SHILAP Revista de lepidopterología. 9(2). 94–106. 10 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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