Majid Moavenian

39 papers receiving 607 citations

Peers

Majid Moavenian
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 238
  • Cognitive Neuroscience 172
  • Mechanical Engineering 169
  • Biomedical Engineering 144
  • Mechanics of Materials 131
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Bin Yao China
Zhonghong Yan China
Auzuir Ripardo de Alexandria Brazil
Zohreh Mousavi Iran
A.K. Ziarani United States
Bin Xie China
Bin Yao China
Jacek Piskorowski Poland
Mohammadreza Yazdchi Iran
Ali Moukadem France
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Citations per field
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Citations per year

Countries citing papers authored by Majid Moavenian

Since Specialization
Citations

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

Fields of papers citing papers by Majid Moavenian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majid Moavenian

This figure shows the co-authorship network connecting the top 25 collaborators of Majid Moavenian. A scholar is included among the top collaborators of Majid Moavenian 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 Majid Moavenian. Majid Moavenian 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
#WorkIndexed citations
1 3
2 3
3 7
4 23
5 11
6
Synthesis of robust PID controller for controlling a single input single output system using quantitative feedback theory technique
6
7 3
8
Fault Detection and Isolation of Vehicle Driveline System
5
9 6
10
Control of human hand considering uncertainties
5
11 10
12 10
13 193
14 14
15 112
16
CNC tool wear detection using neuro-fuzzy classification system
0
17 23
18 4
19 5
20
Manufacturing Parameter Variation in Automotive Driveline
4

About Majid Moavenian

Majid Moavenian is a scholar working on Control and Systems Engineering, Polymers and Plastics and Mechanics of Materials, having authored 42 papers that have together received 639 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (6 papers), Conducting polymers and applications (6 papers) and Dielectric materials and actuators (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (238 citations), Cognitive Neuroscience (172 citations) and Mechanics of Materials (131 citations). Majid Moavenian has collaborated with scholars based in Iran, United Kingdom and Netherlands. Frequent co-authors include Amir Ali Amiri Moghadam, Mohammad Reza Gharib, Reza Masoudi Nejad, Khalil Farhangdoost, Mahmoud Shariati, Aref Afsharfard, Keivan Torabi, Anooshiravan Farshidianfar, M Ebrahimi and Homer Rahnejat. Their work appears in journals such as Expert Systems with Applications, Engineering Structures and Smart Materials and Structures.

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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