Masoud Malekzadeh

48 total papers · 839 total citations
32 papers, 554 citations indexed

About

Masoud Malekzadeh is a scholar working on Civil and Structural Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Masoud Malekzadeh has authored 32 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Masoud Malekzadeh's work include Structural Health Monitoring Techniques (8 papers), Infrastructure Maintenance and Monitoring (5 papers) and Concrete Corrosion and Durability (4 papers). Masoud Malekzadeh is often cited by papers focused on Structural Health Monitoring Techniques (8 papers), Infrastructure Maintenance and Monitoring (5 papers) and Concrete Corrosion and Durability (4 papers). Masoud Malekzadeh collaborates with scholars based in United States, Iran and United Kingdom. Masoud Malekzadeh's co-authors include F. Necati Çatbaş, Maryam Heidari, Samira Zad, James H. Jones, Tzu-An Song, Joyita Dutta, George Atia, Özlem Uzuner, Touraj Taghikhany and Juan Liu and has published in prestigious journals such as PLoS ONE, SLEEP and Automation in Construction.

In The Last Decade

Masoud Malekzadeh

28 papers receiving 520 citations

Author Peers

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

Author						Papers	Cites
Masoud Malekzadeh	169	148	71	57	54	32	554
Hua Shen	314 1.9×	67 0.5×	73 1.0×	48 0.8×	51 0.9×	30	617
Susu Xu	99 0.6×	146 1.0×	11 0.2×	70 1.2×	50 0.9×	53	696
Chao Huang	136 0.8×	36 0.2×	32 0.5×	51 0.9×	26 0.5×	64	556
Nivin A. Ghamry	109 0.6×	102 0.7×	34 0.5×	65 1.1×	26 0.5×	36	534
Lifang Chen	40 0.2×	112 0.8×	75 1.1×	22 0.4×	24 0.4×	49	605
Muharram Mansoorizadeh	50 0.3×	178 1.2×	59 0.8×	16 0.3×	29 0.5×	46	513
An Xu	95 0.6×	219 1.5×	38 0.5×	25 0.4×	37 0.7×	36	513
Liza Abdul Latiff	68 0.4×	90 0.6×	131 1.8×	15 0.3×	56 1.0×	55	615
Amit Banerjee	36 0.2×	137 0.9×	23 0.3×	18 0.3×	67 1.2×	58	569
Hafeez Ur Rehman Siddiqui	40 0.2×	127 0.9×	46 0.6×	37 0.6×	157 2.9×	45	676

Countries citing papers authored by Masoud Malekzadeh

Since Specialization

Citations

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

Fields of papers citing papers by Masoud Malekzadeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Malekzadeh

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