Elyas Ghafoori

5.8k total citations
162 papers, 4.7k citations indexed

About

Elyas Ghafoori is a scholar working on Civil and Structural Engineering, Building and Construction and Materials Chemistry. According to data from OpenAlex, Elyas Ghafoori has authored 162 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Civil and Structural Engineering, 98 papers in Building and Construction and 50 papers in Materials Chemistry. Recurrent topics in Elyas Ghafoori's work include Structural Behavior of Reinforced Concrete (94 papers), Structural Load-Bearing Analysis (73 papers) and Shape Memory Alloy Transformations (46 papers). Elyas Ghafoori is often cited by papers focused on Structural Behavior of Reinforced Concrete (94 papers), Structural Load-Bearing Analysis (73 papers) and Shape Memory Alloy Transformations (46 papers). Elyas Ghafoori collaborates with scholars based in Switzerland, Germany and China. Elyas Ghafoori's co-authors include Masoud Motavalli, Ardalan Hosseini, Alain Nussbaumer, Xiao‐Ling Zhao, Mohammadreza Izadi, Lingzhen Li, Wandong Wang, Julien Michels, Andrin Herwig and Christian Leinenbach and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Construction and Building Materials and Materials Science and Engineering A.

In The Last Decade

Elyas Ghafoori

150 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elyas Ghafoori Switzerland	41	3.2k	2.9k	1.3k	1.2k	1.1k	162	4.7k
Masoud Motavalli Switzerland	50	5.5k 1.7×	4.5k 1.6×	2.0k 1.5×	1.2k 1.0×	1.1k 1.1×	162	7.3k
Haohui Xin China	30	1.7k 0.5×	1.1k 0.4×	269 0.2×	1.2k 1.0×	809 0.8×	134	2.6k
Rosa Penna Italy	30	703 0.2×	571 0.2×	1.1k 0.9×	1.5k 1.2×	386 0.4×	62	2.5k
Yiming Yao China	29	1.7k 0.5×	1.3k 0.4×	249 0.2×	423 0.4×	324 0.3×	120	2.3k
Jian Yao China	21	2.8k 0.9×	2.1k 0.7×	259 0.2×	640 0.5×	417 0.4×	63	3.5k
Sabrina Vantadori Italy	36	1.7k 0.5×	516 0.2×	622 0.5×	2.8k 2.4×	1.6k 1.5×	196	3.7k
E. Barbero Spain	30	1.5k 0.5×	281 0.1×	579 0.4×	2.5k 2.1×	1.3k 1.2×	103	3.2k
Ezio Cadoni Switzerland	29	1.6k 0.5×	586 0.2×	1.2k 0.9×	727 0.6×	461 0.4×	132	2.4k
M.L. Benzeggagh France	25	1.2k 0.4×	580 0.2×	395 0.3×	3.7k 3.1×	1.7k 1.5×	46	4.4k
Jin‐Hwe Kweon South Korea	31	1.0k 0.3×	483 0.2×	225 0.2×	2.3k 1.9×	1.5k 1.4×	134	3.4k

Countries citing papers authored by Elyas Ghafoori

Since Specialization

Citations

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

Fields of papers citing papers by Elyas Ghafoori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elyas Ghafoori

This figure shows the co-authorship network connecting the top 25 collaborators of Elyas Ghafoori. A scholar is included among the top collaborators of Elyas Ghafoori 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 Elyas Ghafoori. Elyas Ghafoori 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

Sun, Yu, et al.. (2025). Investigation on effective prestress in Fe-SMA bars and flexural behaviour of damaged T-shaped RC beams strengthened by NSM method. Structures. 72. 108289–108289. 5 indexed citations

Yu, Qian-Qian, et al.. (2025). Shape memory alloys for prestressed strengthening of steel structures: A review. Engineering Structures. 343. 121123–121123.

Moshayedi, Hessamoddin, et al.. (2025). Optimization of process parameters in wire arc additive manufacturing for strengthening cracked steel plates: A thermo-mechanical study. Journal of Materials Research and Technology. 39. 1311–1329. 1 indexed citations

Mohri, Maryam, et al.. (2025). Self-locking Fe-based shape memory couplers: Insights into SME and interface contact mechanics. Materials & Design. 256. 114219–114219. 2 indexed citations

Zavvar, Esmaeil, et al.. (2025). Lifetime extension of offshore support structures of wind turbines: A review. Renewable and Sustainable Energy Reviews. 217. 115788–115788. 8 indexed citations

Mohri, Maryam, et al.. (2025). Effect of pre-straining, activation temperature and thermomechanical training on recovery behavior of FeMnSi based SMA. Journal of Materials Research and Technology. 37. 4542–4551.

Hu, Shuling, et al.. (2025). Machine learning in earthquake engineering: A review on recent progress and future trends in seismic performance evaluation and design. Engineering Structures. 340. 120721–120721. 9 indexed citations

Dong, Zhiqiang, et al.. (2025). Fe-SMA prestressed strengthening of damaged transverse hinge joints in hollow slab bridges. Engineering Structures. 343. 121006–121006.

Zavvar, Esmaeil, Paulo Rosa-Santos, Elyas Ghafoori, & Francisco Taveira-Pinto. (2024). Analysis of tubular joints in marine structures: A comprehensive review. Marine Structures. 99. 103702–103702. 31 indexed citations

10.

Moshayedi, Hessamoddin, Lingzhen Li, Maryam Mohri, et al.. (2024). Numerical and Experimental Study on Steel Members Retrofitted by Directed Energy Deposition. Procedia Structural Integrity. 64. 1192–1199. 1 indexed citations

11.

Li, Lingzhen, et al.. (2024). Activation strategies for glass-to-iron-based shape memory alloy adhesively bonded joints. Procedia Structural Integrity. 64. 400–408. 1 indexed citations

12.

Su, Qingtian, et al.. (2024). Fully bonded iron-based shape memory alloy for retrofitting large-scale bridge girders: Thermal and mechanical behavior. Structures. 65. 106710–106710. 9 indexed citations

13.

Li, Lingzhen, et al.. (2024). Analysis and design recommendations for structures strengthened by prestressed bonded Fe-SMA. Engineering Structures. 303. 117513–117513. 20 indexed citations

14.

Mohri, Maryam, et al.. (2024). Evaluation of Interface and Residual Strain of NiTi Layer Deposited on NiTiX Substrate by Laser Powder Bed Fusion. Advanced Engineering Materials. 26(11). 6 indexed citations

15.

Ayas, Can, et al.. (2023). Design optimisation for hybrid metal additive manufacturing for sustainable construction. Engineering Structures. 301. 117355–117355. 23 indexed citations

16.

Shen, Jiajia, Binqiang Li, Binbin Wang, et al.. (2023). Wire and arc additive manufacturing of Fe-based shape memory alloys: Microstructure, mechanical and functional behavior. Materials & Design. 231. 112004–112004. 96 indexed citations

17.

Schaumann, Peter, et al.. (2023). Fatigue stress concentrations analysis of real corroded steel structures based on replica imprints. ce/papers. 6(3-4). 2527–2533. 1 indexed citations

18.

Mohri, Maryam, et al.. (2023). Memory‐Steel for Smart Steel Structures: A Review on Recent Developments and Applications. ce/papers. 6(3-4). 949–958. 4 indexed citations

19.

Bocciarelli, Massimiliano, et al.. (2020). Irreversible cyclic cohesive zone model for prediction of mode I fatigue crack growth in CFRP-strengthened steel plates. Theoretical and Applied Fracture Mechanics. 110. 102804–102804. 20 indexed citations

20.

Hosseini, Ardalan, Elyas Ghafoori, Masoud Motavalli, et al.. (2018). Prestressed Unbonded Reinforcement System with Multiple CFRP Plates for Fatigue Strengthening of Steel Members. Polymers. 10(3). 264–264. 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.

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