Nezih Mrad

1.8k citations
72 papers · 1.3k indexed · 1 hit paper · h-index 15

Nezih Mrad

68 papers receiving 1.2k citations

Hit Papers

The role of data fusion in predictive maintenance using d...222201820262020202350100150200

Peers

Nezih Mrad
Comparison fields: 5 of 98
  • Industrial and Manufacturing Engineering 183
  • Civil and Structural Engineering 334
  • Mechanics of Materials 366
  • Medical Laboratory Technology 22
  • Electrical and Electronic Engineering 443
Replace Paolo Maggiore with:
Paolo Maggiore Italy
Yuqiao Wang China
Eugenio Brusa Italy
H.M. Hashemian United States
Lin Bo China
Michel Salaün France
Miao He United States
Jingsong Xie China
Karl Reichard United States
Yong–June Shin South Korea
Nezih Mrad relative to Paolo Maggiore Italy Paolo Maggiore's profile →
Citations per field
00.5×4.3×
Paolo Maggiore · 1×
Citations per year

Countries citing papers authored by Nezih Mrad

Since Specialization
Citations

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

Fields of papers citing papers by Nezih Mrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nezih Mrad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nezih Mrad Line = papers co-authored together Nezih Mrad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20215
2 202024
3 20207
4
The role of data fusion in predictive maintenance using digital twinbreakdown →
2018222
5 201732
6 20165
7
Spatial repeatability of dynamic wheel loads for heavy vehicles: a literature review
20140
8
Assessment of Fibre Optic Sensor Architectures for Structural Health Monitoring
20132
9 201214
10 201213
11 20111
12 20111
13 20113
14 20085
15 20081
16 200811
17 200824
18 20070
19 200613
20
Effects of Wheel-Load Spatial Repeatability on Road Damage: A Literature Review
19973

About Nezih Mrad

Nezih Mrad is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Medical Laboratory Technology, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (23 papers), Photonic and Optical Devices (17 papers), Ultrasonics and Acoustic Wave Propagation (16 papers), Structural Health Monitoring Techniques (14 papers), Semiconductor Lasers and Optical Devices (9 papers), Non-Destructive Testing Techniques (8 papers), Acoustic Wave Resonator Technologies (7 papers) and Smart Materials for Construction (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (183 citations), Civil and Structural Engineering (334 citations) and Mechanics of Materials (366 citations). Nezih Mrad has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Zheng Liu, Gaozhi Xiao, Honglei Guo, Norbert Meyendorf, Jianping Yao, Xiaohua Tong, Patrice Masson, Marcias Martinez, A. Fahr and Marc Genest. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Nano Energy.

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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