Hamza Imran

706 total citations · 1 hit paper
31 papers, 492 citations indexed

About

Hamza Imran is a scholar working on Civil and Structural Engineering, Building and Construction and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Hamza Imran has authored 31 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Civil and Structural Engineering, 16 papers in Building and Construction and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Hamza Imran's work include Innovative concrete reinforcement materials (16 papers), Concrete and Cement Materials Research (7 papers) and Recycled Aggregate Concrete Performance (7 papers). Hamza Imran is often cited by papers focused on Innovative concrete reinforcement materials (16 papers), Concrete and Cement Materials Research (7 papers) and Recycled Aggregate Concrete Performance (7 papers). Hamza Imran collaborates with scholars based in Iraq, Portugal and Poland. Hamza Imran's co-authors include Luís Filipe Almeida Bernardo, Krzysztof Adam Ostrowski, Majed Ibrahim, Zainab Al-Khafaji, Duaa Al-Jeznawi, Furqan Rustam, Imran Ashraf, Yongwei Shan, Dong Zhai and Phil Lewis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

Hamza Imran

24 papers receiving 476 citations

Hit Papers

Prediction of Ecofriendly Concrete Compressive Strength U... 2022 2026 2023 2024 2022 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques
    2022 119 citations Hamza Imran, Luís Filipe Almeida Bernardo et al. Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamza Imran Iraq 11 302 156 41 41 27 31 492
Irshad Ahmad Pakistan 9 412 1.4× 154 1.0× 61 1.5× 30 0.7× 25 0.9× 25 555
Mohammad Javad Taheri Amiri Iran 10 365 1.2× 212 1.4× 13 0.3× 35 0.9× 16 0.6× 17 550
R.D.J.M. Steenbergen Netherlands 13 350 1.2× 89 0.6× 47 1.1× 61 1.5× 11 0.4× 36 491
Danial Mohammadzadeh S. Iran 15 556 1.8× 168 1.1× 110 2.7× 68 1.7× 33 1.2× 24 742
Araz Hasheminezhad Iran 12 297 1.0× 108 0.7× 47 1.1× 57 1.4× 15 0.6× 30 466
Izabela Skrzypczak Poland 12 176 0.6× 174 1.1× 25 0.6× 28 0.7× 7 0.3× 61 399
Chien‐Kuo Chiu Taiwan 13 594 2.0× 234 1.5× 13 0.3× 50 1.2× 21 0.8× 62 697
Qi Ge China 11 147 0.5× 90 0.6× 38 0.9× 30 0.7× 10 0.4× 35 390
M. A. Kamal Pakistan 13 384 1.3× 42 0.3× 33 0.8× 73 1.8× 10 0.4× 47 554

Countries citing papers authored by Hamza Imran

Since Specialization
Citations

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

Fields of papers citing papers by Hamza Imran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamza Imran

This figure shows the co-authorship network connecting the top 25 collaborators of Hamza Imran. A scholar is included among the top collaborators of Hamza Imran 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 Hamza Imran. Hamza Imran 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.
Bernardo, Luís Filipe Almeida, et al.. (2025). Coupling Beams’ Shear Capacity Prediction by Hybrid Support Vector Regression and Particle Swarm Optimization. Buildings. 15(2). 191–191. 1 indexed citations
2.
Imran, Hamza, et al.. (2025). Explainable Machine Learning-Based Estimation of Labor Productivity in Rebar-Fixing Tasks. Eng—Advances in Engineering. 6(9). 219–219.
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Imran, Hamza, et al.. (2024). Advanced Ensemble Machine-Learning Models for Predicting Splitting Tensile Strength in Silica Fume-Modified Concrete. Buildings. 14(12). 4054–4054. 3 indexed citations
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Onyelowe, Kennedy C., et al.. (2024). Estimating the compressive strength of lightweight foamed concrete using different machine learning-based symbolic regression techniques. Frontiers in Built Environment. 10. 3 indexed citations
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Imran, Hamza, et al.. (2024). Advancing in creep index of soil prediction: A groundbreaking machine learning approach with Multivariate Adaptive Regression Splines. Results in Materials. 24. 100641–100641. 1 indexed citations
10.
Imran, Hamza, et al.. (2023). Assessment of Soil–Structure Interaction Approaches in Mechanically Stabilized Earth Retaining Walls: A Review. SHILAP Revista de lepidopterología. 4(3). 982–999. 4 indexed citations
11.
Al-Jeznawi, Duaa, et al.. (2023). Random Forest Algorithm for the Strength Prediction of Geopolymer Stabilized Clayey Soil. Sustainability. 15(2). 1408–1408. 54 indexed citations
12.
Bernardo, Luís Filipe Almeida, et al.. (2023). Torsional Capacity Prediction of Reinforced Concrete Beams Using Machine Learning Techniques Based on Ensembles of Trees. Applied Sciences. 13(3). 1385–1385. 6 indexed citations
13.
Imran, Hamza, et al.. (2023). Utilizing Multivariate Adaptive Regression Splines (MARS) for Precise Estimation of Soil Compaction Parameters. Applied Sciences. 13(21). 11634–11634. 13 indexed citations
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Imran, Hamza, et al.. (2023). Shear Strength Prediction of Steel-Fiber-Reinforced Concrete Beams Using the M5P Model. Fibers. 11(5). 37–37. 5 indexed citations
18.
Imran, Hamza, et al.. (2022). Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques. Materials. 15(21). 7432–7432. 119 indexed citations breakdown →
19.
Bernardo, Luís Filipe Almeida, et al.. (2022). Shear Strength Prediction of Slender Steel Fiber Reinforced Concrete Beams Using a Gradient Boosting Regression Tree Method. Buildings. 12(5). 550–550. 32 indexed citations
20.
Imran, Hamza, et al.. (2022). Development of Prediction Models for the Torsion Capacity of Reinforced Concrete Beams Using M5P and Nonlinear Regression Models. Journal of Composites Science. 6(12). 366–366. 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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