Soheil Saedi

2.2k total citations
32 papers, 1.8k citations indexed

About

Soheil Saedi is a scholar working on Materials Chemistry, Mechanical Engineering and Experimental and Cognitive Psychology. According to data from OpenAlex, Soheil Saedi has authored 32 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Materials Chemistry, 8 papers in Mechanical Engineering and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Soheil Saedi's work include Shape Memory Alloy Transformations (29 papers), High Entropy Alloys Studies (8 papers) and Additive Manufacturing Materials and Processes (4 papers). Soheil Saedi is often cited by papers focused on Shape Memory Alloy Transformations (29 papers), High Entropy Alloys Studies (8 papers) and Additive Manufacturing Materials and Processes (4 papers). Soheil Saedi collaborates with scholars based in United States, Türkiye and Iran. Soheil Saedi's co-authors include H.E. Karaca, Mohammad Elahinia, Narges Shayesteh Moghaddam, Mohsen Taheri Andani, Ali Sadi Turabi, Amirhesam Amerinatanzi, Christoph Haberland, Sayed Ehsan Saghaian, Mohammad Reza Karamooz-Ravari and Michael J. Mills and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Scientific Reports.

In The Last Decade

Soheil Saedi

28 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soheil Saedi United States 15 1.4k 1.1k 197 173 91 32 1.8k
H.Z. Lu China 17 945 0.7× 891 0.8× 136 0.7× 131 0.8× 56 0.6× 41 1.2k
Ali Sadi Turabi United States 14 970 0.7× 771 0.7× 188 1.0× 102 0.6× 57 0.6× 19 1.2k
K.C. Atli United States 21 1.1k 0.8× 694 0.6× 114 0.6× 65 0.4× 81 0.9× 43 1.4k
Mohammadreza Nematollahi United States 21 837 0.6× 841 0.7× 273 1.4× 104 0.6× 26 0.3× 39 1.2k
Qin Yang China 12 655 0.5× 798 0.7× 198 1.0× 80 0.5× 43 0.5× 33 1.1k
Xuan Luo China 14 820 0.6× 820 0.7× 127 0.6× 116 0.7× 45 0.5× 39 1.1k
Mathew Speirs Belgium 10 752 0.5× 954 0.8× 454 2.3× 289 1.7× 42 0.5× 11 1.3k
Beth A. Bimber United States 6 833 0.6× 752 0.7× 187 0.9× 96 0.6× 59 0.6× 6 1.1k
Majid Tabesh United States 7 760 0.5× 435 0.4× 51 0.3× 142 0.8× 24 0.3× 15 890
Paola Bassani Italy 23 729 0.5× 1.2k 1.1× 388 2.0× 79 0.5× 9 0.1× 84 1.5k

Countries citing papers authored by Soheil Saedi

Since Specialization
Citations

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

Fields of papers citing papers by Soheil Saedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soheil Saedi

This figure shows the co-authorship network connecting the top 25 collaborators of Soheil Saedi. A scholar is included among the top collaborators of Soheil Saedi 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 Soheil Saedi. Soheil Saedi 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.
Saghaian, Sayed Ehsan, et al.. (2025). Elastocaloric behavior of NiTi and NiTiHfPd shape memory alloys. Materialia. 44. 102595–102595.
2.
Saedi, Soheil, et al.. (2025). Deep learning framework for accurate prediction of phase transformation in multicomponent shape memory alloys. Computational Materials Science. 258. 114037–114037.
3.
4.
Saedi, Soheil, et al.. (2024). Effect of Heat Treatment on Microstructure and Aqueous Corrosion Properties of AlCoCrNiFe High Entropy Alloy. SHILAP Revista de lepidopterología. 5(4). 561–572.
5.
Saedi, Soheil, et al.. (2024). Next-generation multicomponent SMAs: leveraging HEA empirical parameters. Scripta Materialia. 252. 116262–116262. 2 indexed citations
6.
Karaca, H.E., et al.. (2023). A machine learning approach to predict austenite finish temperature in quaternary NiTiHfPd SMAs. Materials Today Communications. 38. 107847–107847. 7 indexed citations
7.
Saedi, Soheil, et al.. (2023). Energy damping in shape memory alloys: A review. Journal of Alloys and Compounds. 956. 170286–170286. 46 indexed citations
8.
Saedi, Soheil, et al.. (2022). Shape Memory Effect in Quaternary NiTiHfPd Shape Memory Alloys beyond 200 °C. Journal of Materials Engineering and Performance. 31(8). 6689–6696. 6 indexed citations
9.
Acar, Emre, Guher P. Toker, Soheil Saedi, Hirobumi Tobe, & H.E. Karaca. (2020). Thermo-mechanical Characterization of an Aged Ni45.3Ti39.7Hf10Pd5 Shape Memory Alloy. JOM. 73(2). 640–645. 3 indexed citations
10.
Acar, Emre, Soheil Saedi, Guher P. Toker, Hirobumi Tobe, & H.E. Karaca. (2020). Post-aging cooling rate effects in Ni45.3Ti34.7Hf15Pd5 shape memory alloys. Materials Research Bulletin. 133. 111016–111016. 3 indexed citations
11.
Toker, Guher P., Soheil Saedi, Emre Acar, Osman E. Ozbulut, & H.E. Karaca. (2020). Loading frequency and temperature-dependent damping capacity of NiTiHfPd shape memory alloy. Mechanics of Materials. 150. 103565–103565. 20 indexed citations
12.
Moghaddam, Narges Shayesteh, Soheil Saedi, Amirhesam Amerinatanzi, et al.. (2019). Achieving superelasticity in additively manufactured NiTi in compression without post-process heat treatment. Scientific Reports. 9(1). 41–41. 177 indexed citations
13.
14.
Saedi, Soheil, Sayed Ehsan Saghaian, Ahmadreza Jahadakbar, et al.. (2018). Shape memory response of porous NiTi shape memory alloys fabricated by selective laser melting. Journal of Materials Science Materials in Medicine. 29(4). 40–40. 104 indexed citations
15.
Moghaddam, Narges Shayesteh, Soheil Saedi, Amirhesam Amerinatanzi, et al.. (2018). Selective laser melting of Ni-rich NiTi: selection of process parameters and the superelastic response. UKnowledge (University of Kentucky). 27–27. 7 indexed citations
16.
Andani, Mohsen Taheri, Soheil Saedi, Ali Sadi Turabi, et al.. (2017). Mechanical and shape memory properties of porous Ni50.1Ti49.9 alloys manufactured by selective laser melting. Journal of the mechanical behavior of biomedical materials. 68. 224–231. 155 indexed citations
17.
Saedi, Soheil, Ali Sadi Turabi, Mohsen Taheri Andani, et al.. (2017). Texture, aging, and superelasticity of selective laser melting fabricated Ni-rich NiTi alloys. Materials Science and Engineering A. 686. 1–10. 176 indexed citations
18.
Elahinia, Mohammad, Narges Shayesteh Moghaddam, Amirhesam Amerinatanzi, et al.. (2017). Additive manufacturing of NiTiHf high temperature shape memory alloy. Scripta Materialia. 145. 90–94. 99 indexed citations
19.
Andani, Mohsen Taheri, Christoph Haberland, Jason Walker, et al.. (2016). Achieving biocompatible stiffness in NiTi through additive manufacturing. Journal of Intelligent Material Systems and Structures. 27(19). 2661–2671. 67 indexed citations
20.
Saedi, Soheil, Ali Sadi Turabi, Mohsen Taheri Andani, et al.. (2016). The influence of heat treatment on the thermomechanical response of Ni-rich NiTi alloys manufactured by selective laser melting. Journal of Alloys and Compounds. 677. 204–210. 234 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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