Raiyan Seede

1.3k total citations · 1 hit paper
26 papers, 1.0k citations indexed

About

Raiyan Seede is a scholar working on Mechanical Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Raiyan Seede has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanical Engineering, 15 papers in Automotive Engineering and 8 papers in Materials Chemistry. Recurrent topics in Raiyan Seede's work include Additive Manufacturing Materials and Processes (19 papers), Additive Manufacturing and 3D Printing Technologies (15 papers) and Welding Techniques and Residual Stresses (7 papers). Raiyan Seede is often cited by papers focused on Additive Manufacturing Materials and Processes (19 papers), Additive Manufacturing and 3D Printing Technologies (15 papers) and Welding Techniques and Residual Stresses (7 papers). Raiyan Seede collaborates with scholars based in United States, Germany and Jordan. Raiyan Seede's co-authors include İbrahim Karaman, Alaa Elwany, Raymundo Arróyave, Bing Zhang, Austin Whitt, Sean Gibbons, Philip Flater, Xueqin Huang, Luke Johnson and Mohamad Mahmoudi and has published in prestigious journals such as Acta Materialia, Materials Science and Engineering A and Materials & Design.

In The Last Decade

Raiyan Seede

23 papers receiving 996 citations

Hit Papers

A review on additive manufacturing of refractory tungsten... 2022 2026 2023 2024 2022 40 80 120

Peers

Raiyan Seede
Blanka A. Szost Netherlands
Olivier Rigo Belgium
Jan Hönnige United Kingdom
Jerard V. Gordon United States
V. Manvatkar United States
Blanka A. Szost Netherlands
Raiyan Seede
Citations per year, relative to Raiyan Seede Raiyan Seede (= 1×) peers Blanka A. Szost

Countries citing papers authored by Raiyan Seede

Since Specialization
Citations

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

Fields of papers citing papers by Raiyan Seede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raiyan Seede

This figure shows the co-authorship network connecting the top 25 collaborators of Raiyan Seede. A scholar is included among the top collaborators of Raiyan Seede 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 Raiyan Seede. Raiyan Seede 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.
Yang, Yujue, Austin Whitt, Raiyan Seede, et al.. (2025). Directed energy deposition of functionally graded V-4Cr-4Ti to Fe-9Cr transition for fusion power systems. Materials & Design. 254. 113979–113979.
2.
Vaughan, M.W., Hojun Lim, Raiyan Seede, et al.. (2024). The mechanistic origins of heterogeneous void growth during ductile failure. Acta Materialia. 274. 119977–119977. 25 indexed citations
3.
Rivera, Jesus, et al.. (2024). A New Method for Creating Structured High‐Performance Current Collectors for Electrochemical Applications. Advanced Engineering Materials. 26(24).
4.
Huang, Xueqin, Raiyan Seede, Kübra Karayağız, et al.. (2023). Predictive microstructure distribution and printability maps in laser powder bed fusion for a Ni–Cu alloy. Computational Materials Science. 231. 112605–112605. 4 indexed citations
5.
Seede, Raiyan, Austin Whitt, Jiahui Ye, et al.. (2023). A lightweight Fe–Mn–Al–C austenitic steel with ultra-high strength and ductility fabricated via laser powder bed fusion. Materials Science and Engineering A. 874. 145007–145007. 25 indexed citations
6.
Vaughan, M.W., Jiahui Ye, Raiyan Seede, et al.. (2023). Development of a process optimization framework for fabricating fully dense advanced high strength steels using laser directed energy deposition. Additive manufacturing. 67. 103489–103489. 25 indexed citations
7.
Trehern, William, K.C. Atli, Darin J. Sharar, et al.. (2023). NiTiCu shape memory alloys with ultra-low phase transformation range as solid-state phase change materials. Acta Materialia. 260. 119310–119310. 24 indexed citations
8.
Seede, Raiyan, Austin Whitt, Shiqi Zheng, et al.. (2022). A review on additive manufacturing of refractory tungsten and tungsten alloys. Additive manufacturing. 58. 103009–103009. 134 indexed citations breakdown →
9.
Huang, Xueqin, Raiyan Seede, Kübra Karayağız, et al.. (2022). Hybrid microstructure-defect printability map in laser powder bed fusion additive manufacturing. Computational Materials Science. 209. 111401–111401. 9 indexed citations
10.
Seede, Raiyan, Kyle Johnson, & Philip Noell. (2022). Ductile failure and damage localization in Al6061‐T6 characterized by in situ X‐ray computed tomography and neural network segmentation. Fatigue & Fracture of Engineering Materials & Structures. 46(3). 886–894. 4 indexed citations
11.
Zhang, Bing, Raiyan Seede, Lei Xue, et al.. (2021). An efficient framework for printability assessment in Laser Powder Bed Fusion metal additive manufacturing. Additive manufacturing. 46. 102018–102018. 48 indexed citations
12.
Seede, Raiyan, Bing Zhang, Austin Whitt, et al.. (2021). Effect of heat treatments on the microstructure and mechanical properties of an ultra-high strength martensitic steel fabricated via laser powder bed fusion additive manufacturing. Additive manufacturing. 47. 102255–102255. 37 indexed citations
13.
Atli, K.C., Raiyan Seede, Bing Zhang, et al.. (2021). Laser-based additive manufacturing of a binary Ni-5 wt.%Nb alloy. Journal of Manufacturing Processes. 62. 720–728. 10 indexed citations
14.
Honarmandi, Pejman, Raiyan Seede, Lei Xue, et al.. (2021). A rigorous test and improvement of the Eagar-Tsai model for melt pool characteristics in laser powder bed fusion additive manufacturing. Additive manufacturing. 47. 102300–102300. 21 indexed citations
15.
Seede, Raiyan, Jiahui Ye, Austin Whitt, et al.. (2021). Effect of composition and phase diagram features on printability and microstructure in laser powder bed fusion: Development and comparison of processing maps across alloy systems. Additive manufacturing. 47. 102258–102258. 23 indexed citations
16.
Ghosh, Supriyo, Raiyan Seede, İbrahim Karaman, et al.. (2020). Statistical modelling of microsegregation in laser powder-bed fusion. Philosophical Magazine Letters. 100(6). 271–282. 7 indexed citations
17.
Karayağız, Kübra, Luke Johnson, Raiyan Seede, et al.. (2019). Finite interface dissipation phase field modeling of Ni–Nb under additive manufacturing conditions. Acta Materialia. 185. 320–339. 123 indexed citations
18.
Johnson, Luke, Mohamad Mahmoudi, Bing Zhang, et al.. (2019). Assessing printability maps in additive manufacturing of metal alloys. Acta Materialia. 176. 199–210. 181 indexed citations
19.
Johnson, Luke, Raiyan Seede, Vahid Attari, et al.. (2019). Finite Interface Dissipation Phase Field Modeling of Ni-Nb Under Additive Manufacturing Conditions. SSRN Electronic Journal. 6 indexed citations
20.
Seede, Raiyan, Bing Zhang, Austin Whitt, et al.. (2019). An ultra-high strength martensitic steel fabricated using selective laser melting additive manufacturing: Densification, microstructure, and mechanical properties. Acta Materialia. 186. 199–214. 221 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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