Faeze Khademi

786 total citations · 1 hit paper
7 papers, 645 citations indexed

About

Faeze Khademi is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Process Chemistry and Technology. According to data from OpenAlex, Faeze Khademi has authored 7 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Civil and Structural Engineering, 2 papers in Mechanical Engineering and 1 paper in Process Chemistry and Technology. Recurrent topics in Faeze Khademi's work include Infrastructure Maintenance and Monitoring (5 papers), Innovative concrete reinforcement materials (3 papers) and Concrete Corrosion and Durability (2 papers). Faeze Khademi is often cited by papers focused on Infrastructure Maintenance and Monitoring (5 papers), Innovative concrete reinforcement materials (3 papers) and Concrete Corrosion and Durability (2 papers). Faeze Khademi collaborates with scholars based in Iran, United States and Australia. Faeze Khademi's co-authors include Shreenivas Londhe, Mahmoud Akbari, Mehdi Nikoo, Kiachehr Behfarnia, Xuan Li, Chengduan Wang, Jürg Keller, Philip L. Bond, Yiqi Liu and Guangming Jiang and has published in prestigious journals such as Journal of Environmental Management, Modeling Earth Systems and Environment and International Journal of Sustainable Built Environment.

In The Last Decade

Faeze Khademi

7 papers receiving 616 citations

Hit Papers

Predicting strength of recycled aggregate concrete using ... 2016 2026 2019 2022 2016 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. Predicting strength of recycled aggregate concrete using Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and Multiple Linear Regression
    2016 268 citations Faeze Khademi, Shreenivas Londhe et al. International Journal of Sustainable Built Environment profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faeze Khademi Iran 6 481 241 53 38 36 7 645
Aman Kumar India 15 364 0.8× 230 1.0× 55 1.0× 23 0.6× 24 0.7× 57 580
Danial Rezazadeh Eidgahee Iran 13 476 1.0× 248 1.0× 48 0.9× 47 1.2× 22 0.6× 20 589
Ali Ashrafian Iran 14 653 1.4× 285 1.2× 70 1.3× 74 1.9× 46 1.3× 19 893
Celal Çakıroğlu Türkiye 15 462 1.0× 303 1.3× 92 1.7× 68 1.8× 62 1.7× 40 711
David A. Roke United States 14 884 1.8× 294 1.2× 69 1.3× 27 0.7× 31 0.9× 25 1.1k
Thuy‐Anh Nguyen Vietnam 18 770 1.6× 331 1.4× 96 1.8× 69 1.8× 33 0.9× 60 971
Iman Faridmehr Malaysia 16 590 1.2× 343 1.4× 65 1.2× 44 1.2× 29 0.8× 62 812
Jia-qi Chang China 8 616 1.3× 239 1.0× 142 2.7× 50 1.3× 23 0.6× 15 730
Afnan Nafees Pakistan 11 502 1.0× 262 1.1× 44 0.8× 15 0.4× 21 0.6× 11 648
Mahmoud Akbari Iran 13 466 1.0× 265 1.1× 81 1.5× 71 1.9× 42 1.2× 24 773

Countries citing papers authored by Faeze Khademi

Since Specialization
Citations

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

Fields of papers citing papers by Faeze Khademi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faeze Khademi

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

All Works

7 of 7 papers shown
1.
Shojaei, Maryam, et al.. (2025). Integration of deep learning models for mineral prospectivity mapping: a novel Bayesian index approach to reducing uncertainty in exploration. Modeling Earth Systems and Environment. 11(3). 5 indexed citations
2.
Fu, Gongkang, et al.. (2022). In- and Out-of-Plane Bending in Steel Through-Truss Bridges. Practice Periodical on Structural Design and Construction. 27(2). 1 indexed citations
3.
Li, Xuan, Faeze Khademi, Yiqi Liu, et al.. (2019). Evaluation of data-driven models for predicting the service life of concrete sewer pipes subjected to corrosion. Journal of Environmental Management. 234. 431–439. 63 indexed citations
4.
Behfarnia, Kiachehr & Faeze Khademi. (2017). A COMPREHENSIVE STUDY ON THE CONCRETE COMPRESSIVE STRENGTH ESTIMATION USING ARTIFICIAL NEURAL NETWORK AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM. Iran University of Science & Technology. 7(1). 71–80. 23 indexed citations
5.
Khademi, Faeze & Kiachehr Behfarnia. (2016). EVALUATION OF CONCRETE COMPRESSIVE STRENGTH USING ARTIFICIAL NEURAL NETWORK AND MULTIPLE LINEAR REGRESSION MODELS. Iran University of Science & Technology. 6(3). 423–432. 58 indexed citations
6.
Khademi, Faeze, et al.. (2016). Predicting strength of recycled aggregate concrete using Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and Multiple Linear Regression. International Journal of Sustainable Built Environment. 5(2). 355–369. 268 indexed citations breakdown →
7.
Khademi, Faeze, et al.. (2016). Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete. Frontiers of Structural and Civil Engineering. 11(1). 90–99. 227 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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