Hamzeh Hajiloo

992 total citations
37 papers, 758 citations indexed

About

Hamzeh Hajiloo is a scholar working on Civil and Structural Engineering, Building and Construction and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Hamzeh Hajiloo has authored 37 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Civil and Structural Engineering, 26 papers in Building and Construction and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Hamzeh Hajiloo's work include Fire effects on concrete materials (26 papers), Structural Behavior of Reinforced Concrete (23 papers) and Innovative concrete reinforcement materials (13 papers). Hamzeh Hajiloo is often cited by papers focused on Fire effects on concrete materials (26 papers), Structural Behavior of Reinforced Concrete (23 papers) and Innovative concrete reinforcement materials (13 papers). Hamzeh Hajiloo collaborates with scholars based in Canada, United States and Iran. Hamzeh Hajiloo's co-authors include Mark F. Green, Mohammad Javad Moradi, John Gales, Martin Noël, Mohamed A. Sultan, Visar Farhangi, Noureddine Bénichou, Prosper Pliya, Duncan Cree and Keivan Ahmadi and has published in prestigious journals such as Construction and Building Materials, Cement and Concrete Composites and Applied Thermal Engineering.

In The Last Decade

Hamzeh Hajiloo

34 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamzeh Hajiloo Canada 18 696 489 50 46 33 37 758
Lijuan Cheng United States 21 844 1.2× 704 1.4× 44 0.9× 71 1.5× 28 0.8× 48 917
Gyeongcheol Choe South Korea 15 552 0.8× 254 0.5× 37 0.7× 38 0.8× 32 1.0× 36 631
Khaled Sobhan United States 14 559 0.8× 220 0.4× 61 1.2× 29 0.6× 14 0.4× 46 590
John P. Forth United Kingdom 12 623 0.9× 294 0.6× 18 0.4× 38 0.8× 47 1.4× 50 666
Fausto Minelli Italy 23 1.6k 2.2× 1.3k 2.7× 26 0.5× 57 1.2× 23 0.7× 72 1.6k
Junqing Xue China 15 841 1.2× 477 1.0× 23 0.5× 67 1.5× 58 1.8× 53 908
Ahmed Ashteyat Jordan 19 830 1.2× 678 1.4× 14 0.3× 24 0.5× 16 0.5× 63 884
Paolo Vallini Italy 12 578 0.8× 458 0.9× 43 0.9× 67 1.5× 13 0.4× 37 604
Tomasz Ponikiewski Poland 18 1.0k 1.5× 746 1.5× 16 0.3× 73 1.6× 55 1.7× 61 1.1k
Patrick Bamonte Italy 19 868 1.2× 401 0.8× 162 3.2× 21 0.5× 21 0.6× 65 926

Countries citing papers authored by Hamzeh Hajiloo

Since Specialization
Citations

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

Fields of papers citing papers by Hamzeh Hajiloo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamzeh Hajiloo

This figure shows the co-authorship network connecting the top 25 collaborators of Hamzeh Hajiloo. A scholar is included among the top collaborators of Hamzeh Hajiloo 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 Hamzeh Hajiloo. Hamzeh Hajiloo 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.
Moradi, Mohammad Javad, et al.. (2025). Enhancing flexural and shear capacities of RC T-beams with FRCM incorporating a full FRCM-concrete bond. Construction and Building Materials. 471. 140687–140687. 3 indexed citations
3.
Abed, Farid, et al.. (2025). PBO-FRCM and CFRP strengthened reinforced concrete columns: In fire and post-fire behavior. Construction and Building Materials. 489. 142306–142306. 2 indexed citations
4.
Moradi, Mohammad Javad & Hamzeh Hajiloo. (2025). Meta-analysis of compartment fires: Exploring extensive experimental datasets with heat release rate in focus. Applied Thermal Engineering. 266. 125733–125733. 2 indexed citations
5.
Moradi, Mohammad Javad, et al.. (2025). A machine learning approach for predicting a full load-deflection behaviour of strengthened beams using fabric-reinforced cementitious matrix (FRCM). Engineering Structures. 337. 120580–120580. 1 indexed citations
6.
Hajiloo, Hamzeh, et al.. (2025). Hybrid fire testing of concrete-filled steel tube columns: A large-scale experimental and numerical investigation. Fire Safety Journal. 154. 104402–104402.
7.
Moradi, Mohammad Javad & Hamzeh Hajiloo. (2025). Quantitative review of experimental tests and theoretical models of flashover occurrence in compartment fires. Fire Safety Journal. 155. 104432–104432.
8.
Abed, Farid, et al.. (2024). Post-fire performance of hybrid GFRP-steel reinforced concrete columns. Construction and Building Materials. 450. 138655–138655. 5 indexed citations
10.
Asghari, Hamid Reza, et al.. (2023). Tensile properties of carbon fabric-reinforced cementitious matrix (FRCM) at high temperatures. Structures. 55. 85–96. 14 indexed citations
11.
Farhangi, Visar, et al.. (2023). Application of artificial intelligence in predicting the residual mechanical properties of fiber reinforced concrete (FRC) after high temperatures. Construction and Building Materials. 411. 134609–134609. 37 indexed citations
12.
Moradi, Mohammad Javad, et al.. (2023). Structural damage levels of bridges in vehicular collision fires: Predictions using an artificial neural network (ANN) model. Engineering Structures. 295. 116840–116840. 10 indexed citations
13.
Moradi, Mohammad Javad, et al.. (2022). Artificial Neural Network in Predicting the Residual Compressive Strength of Concrete after High Temperatures. SSRN Electronic Journal. 4 indexed citations
14.
Hajiloo, Hamzeh, et al.. (2022). Bond strength between steel reinforcement and RCA concrete during and after exposure to elevated temperatures. Construction and Building Materials. 345. 128362–128362. 19 indexed citations
15.
Pliya, Prosper, et al.. (2021). The compressive behaviour of natural and recycled aggregate concrete during and after exposure to elevated temperatures. Journal of Building Engineering. 38. 102214–102214. 47 indexed citations
16.
Hajiloo, Hamzeh, Mark F. Green, Martin Noël, Noureddine Bénichou, & Mohamed A. Sultan. (2019). GFRP-Reinforced Concrete Slabs: Fire Resistance and Design Efficiency. Journal of Composites for Construction. 23(2). 21 indexed citations
17.
Hajiloo, Hamzeh, et al.. (2018). Preliminary Modelling of Plasco Tower Collapse. 397–409. 22 indexed citations
18.
Hajiloo, Hamzeh & Mark F. Green. (2018). Post-fire residual properties of GFRP reinforced concrete slabs: A holistic investigation. Composite Structures. 201. 398–413. 28 indexed citations
19.
Tomlinson, Douglas, et al.. (2017). Early age electrical resistivity behaviour of various concrete mixtures subject to low temperature cycling. Cement and Concrete Composites. 83. 323–334. 40 indexed citations
20.
Hajiloo, Hamzeh, John Gales, Martin Noël, & Mark F. Green. (2015). Material Characteristics of Glass Fibre Reinforced Polymer (GFRP) Bars at High Temperature. 3 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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