Amir Poursaee

2.8k total citations
63 papers, 2.1k citations indexed

About

Amir Poursaee is a scholar working on Civil and Structural Engineering, Materials Chemistry and Pollution. According to data from OpenAlex, Amir Poursaee has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Civil and Structural Engineering, 37 papers in Materials Chemistry and 15 papers in Pollution. Recurrent topics in Amir Poursaee's work include Concrete Corrosion and Durability (40 papers), Corrosion Behavior and Inhibition (34 papers) and Concrete and Cement Materials Research (21 papers). Amir Poursaee is often cited by papers focused on Concrete Corrosion and Durability (40 papers), Corrosion Behavior and Inhibition (34 papers) and Concrete and Cement Materials Research (21 papers). Amir Poursaee collaborates with scholars based in United States, Canada and China. Amir Poursaee's co-authors include C.M. Hansson, Hamidreza Torbati-Sarraf, Kaveh Afshinnia, Arash Razmjoo, Jason Weiss, Seyed Alireza Torbati-Sarraf, Dong Zheng, Paul D. Jablonski, Garrett J. Pataky and Brandon E. Ross and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cement and Concrete Research.

In The Last Decade

Amir Poursaee

61 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amir Poursaee United States 27 1.5k 1.1k 400 348 332 63 2.1k
Tommaso Pastore Italy 28 1.6k 1.0× 1.3k 1.2× 938 2.3× 383 1.1× 308 0.9× 118 2.8k
Citlalli Gaona-Tiburcio Mexico 24 645 0.4× 906 0.8× 461 1.2× 160 0.5× 144 0.4× 135 1.5k
Pietro Pedeferri Italy 24 2.4k 1.6× 1.9k 1.7× 470 1.2× 345 1.0× 702 2.1× 71 3.2k
Xiaolong Yang China 28 1.2k 0.8× 634 0.6× 678 1.7× 155 0.4× 154 0.5× 99 2.2k
Andraž Legat Slovenia 25 791 0.5× 1.1k 1.0× 534 1.3× 140 0.4× 120 0.4× 86 1.8k
Guojian Liu China 31 2.2k 1.4× 764 0.7× 223 0.6× 1.5k 4.4× 221 0.7× 109 3.3k
Ji‐Hua Zhu China 33 2.5k 1.6× 694 0.6× 493 1.2× 1.6k 4.5× 493 1.5× 143 3.2k
Seung-Jun Kwon South Korea 28 2.6k 1.7× 762 0.7× 192 0.5× 828 2.4× 314 0.9× 187 3.0k
Charis Apostolopoulos Greece 20 1.5k 1.0× 1.1k 1.0× 224 0.6× 624 1.8× 138 0.4× 68 1.7k
Ye Tian China 24 1.1k 0.7× 559 0.5× 370 0.9× 273 0.8× 130 0.4× 90 1.7k

Countries citing papers authored by Amir Poursaee

Since Specialization
Citations

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

Fields of papers citing papers by Amir Poursaee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Poursaee

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Poursaee. A scholar is included among the top collaborators of Amir Poursaee 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 Amir Poursaee. Amir Poursaee 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.
2.
Zheng, Dong, Meng Zhou, Ke Xu, et al.. (2024). Machine learning-based corrosion rate prediction of steel embedded in soil. Scientific Reports. 14(1). 18194–18194. 8 indexed citations
3.
Zheng, Dong, Chuanqing Fu, & Amir Poursaee. (2022). Galvanic Corrosion Study between Tensile-Stressed and Non-Stressed Carbon Steels in Simulated Concrete Pore Solution. Metals. 12(1). 98–98. 7 indexed citations
4.
Zheng, Dong, Hamidreza Torbati-Sarraf, & Amir Poursaee. (2022). Determining the Optimal Frequency and Perturbation Amplitude for AC Electrical Resistance Measurements of Cement-Based Materials Using Harmonic Analysis. Advances in Civil Engineering Materials. 11(1). 339–353. 3 indexed citations
5.
Zheng, Dong, et al.. (2021). Experimental and Numerical Investigations on the Rate-Limiting Step for Macrocell Corrosion of Reinforcing Steel in Concrete. Journal of Materials in Civil Engineering. 34(1). 32 indexed citations
6.
Zheng, Dong & Amir Poursaee. (2020). Corrosion behavior of coupled active and passive reinforcing steels in simulated concrete pore solution. Construction and Building Materials. 240. 117955–117955. 30 indexed citations
7.
Torbati-Sarraf, Hamidreza, et al.. (2020). Electrochemical Impedance Spectroscopic Analyses of the Influence of the Surface Nanocrystallization on the Passivation of Carbon Steel in the Pore Solution. Journal of Materials in Civil Engineering. 33(1). 27 indexed citations
8.
Torbati-Sarraf, Hamidreza, Seyed Alireza Torbati-Sarraf, Nikhilesh Chawla, & Amir Poursaee. (2020). A comparative study of corrosion behavior of an additively manufactured Al-6061 RAM2 with extruded Al-6061 T6. Corrosion Science. 174. 108838–108838. 59 indexed citations
9.
Poursaee, Amir, et al.. (2020). Electronic behavior of native oxide films on Ti and TiN during 90‐day immersion in electrolytes with different pH levels. Rare Metals. 40(3). 582–589. 1 indexed citations
10.
Poursaee, Amir. (2019). Corrosion of Ti 6Al 4V orthopaedic alloy under stress. Materialia. 6. 100271–100271. 16 indexed citations
11.
Torbati-Sarraf, Hamidreza & Amir Poursaee. (2018). Study of the passivation of carbon steel in simulated concrete pore solution using scanning electrochemical microscope (SECM). Materialia. 2. 19–22. 29 indexed citations
12.
Poursaee, Amir. (2018). Application of agent-based paradigm to model corrosion of steel in concrete environment. Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control. 53(4). 259–264. 5 indexed citations
13.
Razmjoo, Arash & Amir Poursaee. (2016). Finite Element Modeling of Chloride Diffusion in Concrete Using Image Processing for Characterizing Real Shape and Distribution of Different Phases. Advances in Civil Engineering Materials. 5(1). 167–178. 6 indexed citations
14.
Ross, Brandon E., et al.. (2016). Corrosion Assessment of Coupled Steel Reinforcement with Ni-Ti–Based Shape Memory Alloy in Simulated-Concrete Pore Solution. Journal of Materials in Civil Engineering. 28(8). 7 indexed citations
15.
Ruan, Tao & Amir Poursaee. (2016). Surface and subsurface damage detection in cement-based materials using electrical resistance tomography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9803. 980318–980318. 3 indexed citations
16.
Poursaee, Amir. (2010). Corrosion of steel bars in saturated Ca(OH)2 and concrete pore solution. 1(3). 90–97. 50 indexed citations
17.
Poursaee, Amir. (2010). Electrochemical Measurements of the Condition of Steel in Concrete. 1 indexed citations
18.
Poursaee, Amir & Jason Weiss. (2010). An automated electrical monitoring system (AEMS) to assess property development in concrete. Automation in Construction. 19(4). 485–490. 16 indexed citations
19.
Poursaee, Amir & C.M. Hansson. (2009). Potential pitfalls in assessing chloride-induced corrosion of steel in concrete. Cement and Concrete Research. 39(5). 391–400. 151 indexed citations
20.
Poursaee, Amir & C.M. Hansson. (2008). The influence of longitudinal cracks on the corrosion protection afforded reinforcing steel in high performance concrete. Cement and Concrete Research. 38(8-9). 1098–1105. 71 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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