Raiyan Seede

28 total papers · 1.3k total citations
26 papers, 997 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 997 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 United Kingdom. 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 977 citations

Hit Papers

A review on additive manu... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Raiyan Seede 916 486 269 116 92 26 997
Xibing Gong 989 1.1× 535 1.1× 268 1.0× 184 1.6× 81 0.9× 19 1.1k
Craig Brice 828 0.9× 466 1.0× 229 0.9× 126 1.1× 113 1.2× 39 965
Jannis Nicolas Lemke 999 1.1× 476 1.0× 207 0.8× 96 0.8× 47 0.5× 28 1.1k
Thien Q. Phan 871 1.0× 514 1.1× 195 0.7× 58 0.5× 114 1.2× 29 944
Dyuti Sarker 1.1k 1.2× 545 1.1× 259 1.0× 109 0.9× 63 0.7× 15 1.2k
Dongdong Gu 933 1.0× 525 1.1× 209 0.8× 81 0.7× 69 0.8× 35 1.0k
Priyanshu Bajaj 993 1.1× 475 1.0× 177 0.7× 90 0.8× 43 0.5× 16 1.1k
Dunyong Deng 1.2k 1.3× 648 1.3× 181 0.7× 100 0.9× 53 0.6× 21 1.2k
Olivier Rigo 781 0.9× 555 1.1× 228 0.8× 57 0.5× 59 0.6× 18 822
Vasily Ploshikhin 866 0.9× 535 1.1× 231 0.9× 138 1.2× 116 1.3× 55 999

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

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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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