Asaad Faramarzi

1.8k total citations
67 papers, 1.2k citations indexed

About

Asaad Faramarzi is a scholar working on Civil and Structural Engineering, Building and Construction and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Asaad Faramarzi has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Civil and Structural Engineering, 11 papers in Building and Construction and 10 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Asaad Faramarzi's work include Geotechnical Engineering and Underground Structures (21 papers), Geotechnical Engineering and Soil Stabilization (19 papers) and Infrastructure Maintenance and Monitoring (15 papers). Asaad Faramarzi is often cited by papers focused on Geotechnical Engineering and Underground Structures (21 papers), Geotechnical Engineering and Soil Stabilization (19 papers) and Infrastructure Maintenance and Monitoring (15 papers). Asaad Faramarzi collaborates with scholars based in United Kingdom, Iran and United States. Asaad Faramarzi's co-authors include Akbar A. Javadi, A Ahangar Asr, Amir M. Alani, Saif Alzabeebee, David N. Chapman, Ouahid Harireche, David Chapman, Mohammad Rezania, Ian Jefferson and Hamed Dabiri and has published in prestigious journals such as Construction and Building Materials, Renewable Energy and International Journal of Environmental Research and Public Health.

In The Last Decade

Asaad Faramarzi

60 papers receiving 1.2k citations

Peers

Asaad Faramarzi

CSE

SRRQ

Kam Ng United States

Xiangsheng Chen China

Navid Kardani Australia

Dongsheng Xu China

Hang Zhou China

Chunyi Cui China

Xinhua Xue China

Haobo Fan China

Khalid Elbaz China

Han-Cheng Dan China

Kam Ng United States

Asaad Faramarzi

850 ×0.9

CSE

210 ×0.8

SRRQ

227 ×1.1

153 ×1.1

172 ×1.5

Citations per year, relative to Asaad Faramarzi Asaad Faramarzi (= 1×) peers Kam Ng

Countries citing papers authored by Asaad Faramarzi

Since Specialization

Citations

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

Fields of papers citing papers by Asaad Faramarzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asaad Faramarzi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Faramarzi, Asaad, et al.. (2025). Optimised steel frame design using reclaimed steel: Logistics impact on reuse efficiency. Journal of Constructional Steel Research. 236. 110046–110046. 1 indexed citations

Wang, Feiyang, et al.. (2025). Model‐Free Data‐Driven Computational Analysis for Soil Consolidation Problems. International Journal for Numerical and Analytical Methods in Geomechanics. 50(2). 1166–1175.

Lin, Wei, et al.. (2025). SAM4Tun: No-training model for tunnel lining point cloud component segmentation. Tunnelling and Underground Space Technology. 158. 106401–106401. 2 indexed citations

Dirar, Samir, et al.. (2025). Effect of shear span-to-effective depth ratio and FRP material type on the behaviour of RC T-beams strengthened in shear with embedded FRP bars. Engineering Structures. 332. 120105–120105. 4 indexed citations

Kazantzi, Athanasia K., et al.. (2024). Bridge assessment based on deflection as a measure of damage using Machine Learning-enhanced pattern identification. Procedia Structural Integrity. 64. 254–261.

Chen, Kun, Mehran Eskandari Torbaghan, Nick Thom, & Asaad Faramarzi. (2024). Physics-guided neural network for predicting international roughness index on flexible pavements considering accuracy, uncertainty and stability. Engineering Applications of Artificial Intelligence. 142. 109922–109922. 11 indexed citations

Faramarzi, Asaad, et al.. (2024). Optimising Ground Penetrating Radar data interpretation: A hybrid approach with AI-assisted Kalman Filter and Wavelet Transform for detecting and locating buried utilities. Journal of Applied Geophysics. 232. 105567–105567. 6 indexed citations

Faramarzi, Asaad, et al.. (2024). Sam-based instance segmentation models for the automation of structural damage detection. Advanced Engineering Informatics. 62. 102826–102826. 21 indexed citations

Pärn, Erika, et al.. (2024). Trajectory of building and structural design automation from generative design towards the integration of deep generative models and optimization: A review. Journal of Building Engineering. 97. 110972–110972. 11 indexed citations

10.

Chapman, David N., et al.. (2023). The Analysis of the Fracturing Mechanism and Brittleness Characteristics of Anisotropic Shale Based on Finite-Discrete Element Method. Rock Mechanics and Rock Engineering. 57(4). 2385–2405. 4 indexed citations

11.

Tafreshi, S.N. Moghaddas, et al.. (2023). Geocell-reinforced bed anchored with additional vertical elements under repeated loading. Transportation Geotechnics. 42. 101089–101089. 3 indexed citations

12.

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

13.

Dirar, Samir, et al.. (2021). Effect of transverse and longitudinal reinforcement ratios on the behaviour of RC T-beams shear-strengthened with embedded FRP BARS. Composite Structures. 262. 113622–113622. 25 indexed citations

14.

Faramarzi, Asaad, et al.. (2020). Investigation of The Use of Scrap Tyres As Soil Reinforcement. The Journal of The University of Duhok. 23(2). 206–221.

15.

Alzabeebee, Saif, David N. Chapman, & Asaad Faramarzi. (2017). Innovative approach to determine the minimum wall thickness of flexible buried pipes. Geomechanics and Engineering. 15(2). 755. 14 indexed citations

16.

Alzabeebee, Saif, David N. Chapman, & Asaad Faramarzi. (2017). Development of a novel model to estimate bedding factors to ensure the economic and robust design of rigid pipes under soil loads. Tunnelling and Underground Space Technology. 71. 567–578. 41 indexed citations

17.

Faramarzi, Asaad, et al.. (2014). An Evolutionary Polynomial Regression (EPR) Model For Prediction Of H2S Induced Corrosion In Concrete Sewer Pipes. CUNY Academic Works (City University of New York). 6 indexed citations

18.

Alani, Amir M. & Asaad Faramarzi. (2014). An evolutionary approach to modelling concrete degradation due to sulphuric acid attack. Applied Soft Computing. 24. 985–993. 38 indexed citations

19.

Alani, Amir M., Asaad Faramarzi, Mojtaba Mahmoodian, & Kong Fah Tee. (2014). Prediction of sulphide build-up in filled sewer pipes. Environmental Technology. 35(14). 1721–1728. 35 indexed citations

20.

Harireche, Ouahid, Asaad Faramarzi, & Amir M. Alani. (2013). A toroidal approximation of capillary forces in polydisperse granular assemblies. Granular Matter. 15(5). 573–581. 27 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.

Explore authors with similar magnitude of impact