M. Reihanian

94 total papers · 2.4k total citations
80 papers, 1.9k citations indexed

About

M. Reihanian is a scholar working on Mechanical Engineering, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, M. Reihanian has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Mechanical Engineering, 46 papers in Materials Chemistry and 32 papers in Aerospace Engineering. Recurrent topics in M. Reihanian's work include Aluminum Alloys Composites Properties (48 papers), Microstructure and mechanical properties (43 papers) and Aluminum Alloy Microstructure Properties (20 papers). M. Reihanian is often cited by papers focused on Aluminum Alloys Composites Properties (48 papers), Microstructure and mechanical properties (43 papers) and Aluminum Alloy Microstructure Properties (20 papers). M. Reihanian collaborates with scholars based in Iran, Japan and United Kingdom. M. Reihanian's co-authors include Majid Naseri, R. Ebrahimi, E. Bagherpour, Ehsan Borhani, Kh. Gheisari, Mohammad Mahdavian, L. Ghalandari, M.M. Moshksar, Mohammad Hossein Paydar and Nobuhiro Tsuji and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and Journal of Materials Science.

In The Last Decade

M. Reihanian

74 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
M. Reihanian 1.8k 1.3k 614 410 147 80 1.9k
Daihong Xiao 1.7k 1.0× 686 0.5× 1.1k 1.8× 253 0.6× 209 1.4× 72 1.9k
Kamran Dehghani 1.4k 0.8× 757 0.6× 405 0.7× 315 0.8× 72 0.5× 75 1.6k
A. H. Yegneswaran 1.8k 1.0× 1.0k 0.8× 665 1.1× 583 1.4× 402 2.7× 69 2.2k
G. González-Doncel 1.6k 0.9× 1.1k 0.8× 716 1.2× 401 1.0× 359 2.4× 105 1.9k
Mingxing Guo 1.9k 1.1× 1.6k 1.2× 1.7k 2.7× 375 0.9× 66 0.4× 110 2.3k
Baiqing Xiong 2.1k 1.2× 1.5k 1.1× 1.8k 2.9× 424 1.0× 107 0.7× 138 2.4k
A. Lekatou 1.7k 0.9× 882 0.7× 822 1.3× 554 1.4× 241 1.6× 86 2.0k
Jiqiang Ma 1.2k 0.7× 718 0.5× 516 0.8× 511 1.2× 118 0.8× 83 1.8k
Pedro Henrique R. Pereira 1.5k 0.8× 1.4k 1.1× 441 0.7× 504 1.2× 67 0.5× 70 1.8k
Qinglong Zhao 1.9k 1.1× 1.2k 0.9× 1.1k 1.8× 403 1.0× 336 2.3× 80 2.2k

Countries citing papers authored by M. Reihanian

Since Specialization
Citations

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

Fields of papers citing papers by M. Reihanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Reihanian

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