Arman Malekloo

971 citations
6 papers · 665 · 1 hit paper · h-index 6

Impact in

Papers in

Arman Malekloo

6 papers receiving 629 citations

Arman Malekloo's Hit Papers

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights 2021 · 344 citations
3440+1+3Years since publication100200300

Peers

Arman Malekloo
Comparison fields: 5 of 90
  • Building and Construction 167
  • Civil and Structural Engineering 262
  • Media Technology 72
  • Automotive Engineering 59
  • Computer Networks and Communications 92
Replace Guiping Wang with:
Guiping Wang China
Kay Smarsly Germany
Shengchuan Jiang China
Yishun Li China
Kongyang Chen China
Yong Peng China
Binbin Li China
Siyun Chen China
Rui Hou United States
Peng Dai China
Arman Malekloo relative to Guiping Wang China Guiping Wang's profile →
Citations per field
00.5×3.6×
Guiping Wang · 1×
Citations per year

Countries citing papers authored by Arman Malekloo

Since Specialization
Citations

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

Fields of papers citing papers by Arman Malekloo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Arman Malekloo, 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 Arman Malekloo Line = papers co-authored together Arman Malekloo links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Hit paper breakdown →
2021344
2 2019224
3 201975
4 202210
5 20226
6 20246

About Arman Malekloo

Arman Malekloo is a scholar working on Civil and Structural Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Ocean Engineering and Geophysics, having authored 6 papers that have together received 665 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (3 papers), Structural Health Monitoring Techniques (2 papers), Seismic Performance and Analysis (2 papers), IoT Networks and Protocols (1 paper), Concrete Corrosion and Durability (1 paper), earthquake and tectonic studies (1 paper), Vehicular Ad Hoc Networks (VANETs) (1 paper) and Advanced Wireless Communication Technologies (1 paper). The work is most often cited by research in Building and Construction (167 citations), Civil and Structural Engineering (262 citations), Media Technology (72 citations), Automotive Engineering (59 citations) and Computer Networks and Communications (92 citations). Arman Malekloo has collaborated with scholars based in Türkiye, United States and Ireland. Frequent co-authors include Fadi Al‐Turjman, Ekin Özer, Mark Girolami, Mohammad AlHamaydeh, Mohammad Abujubbeh, Leonardo Mostarda, Xiaoyue Cathy Liu and Xuan Di. Their work appears in journals such as Computer-Aided Civil and Infrastructure Engineering, Computer Communications, Sustainable Cities and Society, Structural Health Monitoring and Infrastructures.

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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