A TREND IN PIPELINE REHABILITATION RESEARCH: A BIBLIOMETRIC ANALYSIS

  • Mohd Fakri Muda
  • , Mohd Hisbany Mohd Hashim*
  • , Marzuki Abdul Rahman
  • , Mohd Hairil Mohd
  • , Mohd Khairul Kamarudin
  • , Amin Al-Fakih
  • , Zainul Faizien Haza
  • , Abdul Rahman Mohd Sam
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Pipeline rehabilitation has become a crucial point of interest in the industry to ensure sustained and stable operation throughout its lifespan. This study does a bibliometric analysis of pipeline rehabilitation using the Scopus database. The study collected 2397 documents for further analysis using multiple methods based on the meta-data used in the documents linked to the scope research. The VOSviewer software-generated maps based on scientific publishing network data depict links between researchers' nations and keywors used. The co-occurrence of various phrases associated with pipeline rehabilitation was investigated using author keyords. The results indicate a significant and close relationship between the top authors, implying a substantial and strong research connection. The United States and China were the leading countries. The top 20 cited documents and keywords correlation was carried out to investigate the current research interest. These critical reviews of prior work serve as a significant and necessary resource for scholars and practitioners in the pipeline rehabilitation research field.

Original languageEnglish
Pages (from-to)1523-1538
Number of pages16
JournalJournal of Engineering Science and Technology
Volume18
Issue number3
StatePublished - Jun 2023

Bibliographical note

Publisher Copyright:
© 2023 Taylor's University. All rights reserved.

Keywords

  • Bibliometric analysis
  • Citation network
  • Pipeline rehabilitation
  • Scopus
  • Trend

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'A TREND IN PIPELINE REHABILITATION RESEARCH: A BIBLIOMETRIC ANALYSIS'. Together they form a unique fingerprint.

Cite this