Behrouz Gordan

1.6k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Behrouz Gordan is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Management, Monitoring, Policy and Law. According to data from OpenAlex, Behrouz Gordan has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Civil and Structural Engineering, 20 papers in Safety, Risk, Reliability and Quality and 9 papers in Management, Monitoring, Policy and Law. Recurrent topics in Behrouz Gordan's work include Geotechnical Engineering and Analysis (20 papers), Geotechnical Engineering and Soil Stabilization (12 papers) and Dam Engineering and Safety (10 papers). Behrouz Gordan is often cited by papers focused on Geotechnical Engineering and Analysis (20 papers), Geotechnical Engineering and Soil Stabilization (12 papers) and Dam Engineering and Safety (10 papers). Behrouz Gordan collaborates with scholars based in Malaysia, Iran and China. Behrouz Gordan's co-authors include Danial Jahed Armaghani, Mohammadreza Koopialipoor, Mohsen Hajihassani, Masoud Monjezi, Ahmadreza Hedayat, Edy Tonnizam Mohamad, Panagiotis G. Asteris, Aminaton Marto, Binh Thai Pham and Hui Chen and has published in prestigious journals such as IEEE Access, Applied Sciences and Artificial Intelligence Review.

In The Last Decade

Behrouz Gordan

28 papers receiving 1.3k citations

Hit Papers

Prediction of seismic slope stability through combination... 2015 2026 2018 2022 2015 50 100 150 200 250
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 seismic slope stability through combination of particle swarm optimization and neural network
    2015 299 citations Behrouz Gordan, Danial Jahed Armaghani et al. Engineering With Computers profile →

Peers

Behrouz Gordan
Arsalan Mahmoodzadeh Iraq
Hawkar Hashim Ibrahim Iraq
Yin-Fu Jin Hong Kong
Li Wu China
Guichen Li China
Rui Pang China
Xuzhen He Australia
Dong Su China
Arsalan Mahmoodzadeh Iraq
Behrouz Gordan
Citations per year, relative to Behrouz Gordan Behrouz Gordan (= 1×) peers Arsalan Mahmoodzadeh

Countries citing papers authored by Behrouz Gordan

Since Specialization
Citations

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

Fields of papers citing papers by Behrouz Gordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behrouz Gordan

This figure shows the co-authorship network connecting the top 25 collaborators of Behrouz Gordan. A scholar is included among the top collaborators of Behrouz Gordan 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 Behrouz Gordan. Behrouz Gordan 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.
Hosseini, Shahab, et al.. (2025). Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN models and predict bearing capacity of circular foundations. Artificial Intelligence Review. 58(4). 5 indexed citations
2.
Barkhordari, Mohammad Sadegh, et al.. (2024). GUI-based platform for slope stability prediction under seismic conditions using machine learning algorithms. 4(2-4). 145–156. 3 indexed citations
3.
4.
Asteris, Panagiotis G., Mohammadreza Koopialipoor, Panayiotis C. Roussis, et al.. (2022). Slope Stability Classification under Seismic Conditions Using Several Tree-Based Intelligent Techniques. Applied Sciences. 12(3). 1753–1753. 87 indexed citations
5.
6.
7.
Burman, Avijit, et al.. (2020). Grey wolf optimization approach for searching critical failure surface in soil slopes. Engineering With Computers. 37(3). 2059–2072. 27 indexed citations
8.
Gordan, Behrouz, Mohammadreza Koopialipoor, Danial Jahed Armaghani, et al.. (2020). Seepage Analysis in Short Embankments Using Developing a Metaheuristic Method Based on Governing Equations. Applied Sciences. 10(5). 1761–1761. 28 indexed citations
9.
Burman, Avijit, et al.. (2020). Optimization of non-circular failure surface in slope based on particle swarm models. Innovative Infrastructure Solutions. 5(1). 6 indexed citations
10.
Chen, Hui, Panagiotis G. Asteris, Danial Jahed Armaghani, Behrouz Gordan, & Binh Thai Pham. (2019). Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models. Applied Sciences. 9(6). 1042–1042. 134 indexed citations
11.
Yang, Haiqing, Mohammadreza Koopialipoor, Danial Jahed Armaghani, et al.. (2019). Intelligent design of retaining wall structures under dynamic conditions. Steel and Composite Structures. 31(6). 629–640. 57 indexed citations
12.
Xu, Chuanhua, Behrouz Gordan, Mohammadreza Koopialipoor, et al.. (2019). Improving Performance of Retaining Walls Under Dynamic Conditions Developing an Optimized ANN Based on Ant Colony Optimization Technique. IEEE Access. 7. 94692–94700. 75 indexed citations
13.
Mojtahedi, Farid Fazel, et al.. (2018). A novel probabilistic simulation approach for forecasting the safety factor of slopes: a case study. Engineering With Computers. 35(2). 637–646. 19 indexed citations
14.
Ghaleini, Ebrahim Noroozi, et al.. (2018). A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls. Engineering With Computers. 35(2). 647–658. 89 indexed citations
15.
Koopialipoor, Mohammadreza, Danial Jahed Armaghani, Ahmadreza Hedayat, Aminaton Marto, & Behrouz Gordan. (2018). Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions. Soft Computing. 23(14). 5913–5929. 176 indexed citations
16.
Gordan, Behrouz, et al.. (2016). A New Model for Determining Slope Stability Based on Seismic Motion Performance. Soil Mechanics and Foundation Engineering. 53(5). 344–351. 24 indexed citations
17.
Gordan, Behrouz, et al.. (2015). Distribution of Specific Gravity for Laterite Soil Mixed Using Tire Aggregate and Silica. 2. 14–19. 1 indexed citations
18.
Gordan, Behrouz, Danial Jahed Armaghani, Mohsen Hajihassani, & Masoud Monjezi. (2015). Prediction of seismic slope stability through combination of particle swarm optimization and neural network. Engineering With Computers. 32(1). 85–97. 299 indexed citations breakdown →
19.
Gordan, Behrouz, et al.. (2014). Soil Saturated Simulation in Embankment during Strong Earthquake by Effect of Elasticity Modulus. Modelling and Simulation in Engineering. 2014. 1–7. 6 indexed citations
20.
Gordan, Behrouz & Azlan Adnan. (2014). Excellent Performance of Earth Dams under Resonance Motion Using Isolator Damping Layer. Shock and Vibration. 2014. 1–15. 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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