Hamed Dabiri

910 total citations
25 papers, 680 citations indexed

About

Hamed Dabiri is a scholar working on Civil and Structural Engineering, Building and Construction and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Hamed Dabiri has authored 25 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Civil and Structural Engineering, 16 papers in Building and Construction and 1 paper in Safety, Risk, Reliability and Quality. Recurrent topics in Hamed Dabiri's work include Structural Behavior of Reinforced Concrete (13 papers), Structural Response to Dynamic Loads (10 papers) and Innovative concrete reinforcement materials (9 papers). Hamed Dabiri is often cited by papers focused on Structural Behavior of Reinforced Concrete (13 papers), Structural Response to Dynamic Loads (10 papers) and Innovative concrete reinforcement materials (9 papers). Hamed Dabiri collaborates with scholars based in Italy, Iran and United Kingdom. Hamed Dabiri's co-authors include Ali Kheyroddin, Visar Farhangi, Mahdi Kioumarsi, Amirreza Kandiri, Andrea Dall’Asta, Mohammad Javad Moradi, Asaad Faramarzi, Moses Karakouzian, Emanuele Tondi and Farid Sartipi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Engineering Structures.

In The Last Decade

Hamed Dabiri

24 papers receiving 664 citations

Peers

Hamed Dabiri

CSE

Anas Abdulalim Alabdullah Pakistan

Xuchuan Lin China

Danial Rezazadeh Eidgahee Iran

Mary Beth D. Hueste United States

Azlan Adnan Malaysia

Fereydoon Omidinasab Iran

Minghui Liu China

Mohammad Alembagheri Iran

Ercan Yüksel Türkiye

S.N.R. Shah Pakistan

Anas Abdulalim Alabdullah Pakistan

Hamed Dabiri

414 ×0.7

CSE

236 ×0.6

43 ×0.9

38 ×0.9

40 ×1.3

Citations per year, relative to Hamed Dabiri Hamed Dabiri (= 1×) peers Anas Abdulalim Alabdullah

Countries citing papers authored by Hamed Dabiri

Since Specialization

Citations

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

Fields of papers citing papers by Hamed Dabiri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamed Dabiri

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

All Works

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20 of 20 papers shown

Dabiri, Hamed, et al.. (2025). Monitoring buildings performance using FEA and ML based on the data acquired by InSAR; A case study of Vittoriano building, Rome. Structures. 74. 108643–108643.

Safhi, Amine el Mahdi, Hamed Dabiri, Ahmed Soliman, & Kamal H. Khayat. (2024). Prediction of self-consolidating concrete properties using XGBoost machine learning algorithm: Rheological properties. Powder Technology. 438. 119623–119623. 16 indexed citations

Dabiri, Hamed, et al.. (2024). Machine learning-based analysis of historical towers. Engineering Structures. 304. 117621–117621. 11 indexed citations

Moradi, Mohammad Javad, et al.. (2023). Application of Machine Learning to Predict the Mechanical Characteristics of Concrete Containing Recycled Plastic-Based Materials. Applied Sciences. 13(4). 2033–2033. 29 indexed citations

Safhi, Amine el Mahdi, Hamed Dabiri, Ahmed Soliman, & Kamal H. Khayat. (2023). Prediction of self-consolidating concrete properties using XGBoost machine learning algorithm: Part 1–Workability. Construction and Building Materials. 408. 133560–133560. 26 indexed citations

Ghaderpour, Ebrahim, et al.. (2023). Precipitation Time Series Analysis and Forecasting for Italian Regions. SHILAP Revista de lepidopterología. 23–23. 28 indexed citations

Farhangi, Visar, et al.. (2023). Effects of Geogrid Reinforcement on the Backfill of Integral Bridge Abutments. Buildings. 13(4). 853–853. 13 indexed citations

Dabiri, Hamed, et al.. (2023). Reconstructing missing InSAR data by the application of machine leaning-based prediction models: a case study of Rieti. Journal of Civil Structural Health Monitoring. 14(1). 143–161. 5 indexed citations

Dabiri, Hamed, et al.. (2022). Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars. Applied Sciences. 12(10). 4851–4851. 66 indexed citations

10.

Kheyroddin, Ali, et al.. (2022). Performance of RC beam-column joints with hybrid GFRP-steel reinforcement under cyclic and axial loads. Structures. 47. 1408–1415. 9 indexed citations

11.

Dabiri, Hamed, et al.. (2022). A machine learning-based analysis for predicting fragility curve parameters of buildings. Journal of Building Engineering. 62. 105367–105367. 53 indexed citations

12.

Dabiri, Hamed, Ali Kheyroddin, & Asaad Faramarzi. (2022). Predicting tensile strength of spliced and non-spliced steel bars using machine learning- and regression-based methods. Construction and Building Materials. 325. 126835–126835. 25 indexed citations

13.

Dabiri, Hamed, Mahdi Kioumarsi, Ali Kheyroddin, Amirreza Kandiri, & Farid Sartipi. (2022). Compressive strength of concrete with recycled aggregate; a machine learning-based evaluation. Cleaner Materials. 3. 100044–100044. 64 indexed citations

14.

Dall’Asta, Andrea, Hamed Dabiri, Emanuele Tondi, & Michele Morici. (2021). Influence of time-dependent seismic hazard on structural design. Bulletin of Earthquake Engineering. 19(6). 2505–2529. 10 indexed citations

15.

Dabiri, Hamed & Ali Kheyroddin. (2021). An experimental comparison of RC beam-column joints incorporating different splice methods in the beam. Structures. 34. 1603–1613. 19 indexed citations

16.

Kheyroddin, Ali, et al.. (2021). An experimental study on the influence of incorporating lap or forging (GPW) splices on the cyclic performance of RC columns. Engineering Structures. 241. 112434–112434. 19 indexed citations

17.

Kheyroddin, Ali & Hamed Dabiri. (2020). Cyclic performance of RC beam-column joints with mechanical or forging (GPW) splices; an experimental study. Structures. 28. 2562–2571. 17 indexed citations

18.

Kheyroddin, Ali, et al.. (2020). Experimental investigation of using mechanical splices on the cyclic performance of RC columns. Structures. 24. 717–727. 22 indexed citations

19.

Dabiri, Hamed, et al.. (2020). Influence of reinforcement on the performance of non-seismically detailed RC beam-column joints. Journal of Building Engineering. 31. 101333–101333. 62 indexed citations

20.

Dabiri, Hamed, et al.. (2018). The Influence of Replacing Sand with Waste Glass Particle on the Physical and Mechanical Parameters of Concrete. Civil Engineering Journal. 4(7). 1646–1652. 4 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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