Saeed Mouloodi

27 total papers · 570 total citations
24 papers, 483 citations indexed

About

Saeed Mouloodi is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Saeed Mouloodi has authored 24 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanics of Materials, 7 papers in Mechanical Engineering and 6 papers in Civil and Structural Engineering. Recurrent topics in Saeed Mouloodi's work include Composite Structure Analysis and Optimization (5 papers), Veterinary Equine Medical Research (5 papers) and Genetic and phenotypic traits in livestock (3 papers). Saeed Mouloodi is often cited by papers focused on Composite Structure Analysis and Optimization (5 papers), Veterinary Equine Medical Research (5 papers) and Genetic and phenotypic traits in livestock (3 papers). Saeed Mouloodi collaborates with scholars based in Australia, Iran and Malaysia. Saeed Mouloodi's co-authors include Colin Burvill, Scott Gohery, Helen M. S. Davies, M. Gholinia, S. Sharifi, Sajjad Mohebbi, Mohsen Pourfallah, Manouchehr Salehi, Navid Moslemi and Mohammadreza Izadifar and has published in prestigious journals such as Advances in experimental medicine and biology, International Journal of Mechanical Sciences and Journal of Composite Materials.

In The Last Decade

Saeed Mouloodi

24 papers receiving 467 citations

Author Peers

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

Author						Papers	Cites
Saeed Mouloodi	175	136	110	104	61	24	483
Christophe Cluzel	189 1.1×	215 1.6×	74 0.7×	126 1.2×	65 1.1×	25	452
Fabrizio Freni	130 0.7×	183 1.3×	115 1.0×	107 1.0×	90 1.5×	26	496
S.B.M. Beck	142 0.8×	132 1.0×	85 0.8×	167 1.6×	48 0.8×	36	542
Lei Xu	278 1.6×	150 1.1×	77 0.7×	84 0.8×	67 1.1×	33	491
Pramod M. Padole	245 1.4×	123 0.9×	84 0.8×	66 0.6×	74 1.2×	34	420
Simon White	94 0.5×	272 2.0×	146 1.3×	193 1.9×	62 1.0×	17	548
Ling Zhao	295 1.7×	116 0.9×	100 0.9×	99 1.0×	85 1.4×	28	537
Weijia Chen	158 0.9×	89 0.7×	100 0.9×	100 1.0×	42 0.7×	38	414
Nima Gharib	147 0.8×	176 1.3×	123 1.1×	171 1.6×	50 0.8×	30	540
Andrzej Młyniec	135 0.8×	174 1.3×	85 0.8×	54 0.5×	41 0.7×	28	476

Countries citing papers authored by Saeed Mouloodi

Since Specialization

Citations

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

Fields of papers citing papers by Saeed Mouloodi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Mouloodi

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