A co-word analysis of the structural health monitoring field

Kaitlyn Kliewer, Edward Melcer, Branko Glisic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This research applies a bibliometric analysis to the structural health monitoring (SHM) research field over a 15-year period, from 2003 to 2017. The goal of this research is to provide a broader analysis of the field as a whole through a data-driven approach with a bibliometric analysis of SHM literature. The aim of this work is to understand relationships between research themes and communities within the SHM field, and how this landscape has evolved over time. By employing graph theory and social network analysis methods, this study uses a data-driven analysis using a co-word and co-venue analysis based on publication data from over 21,000 conference and journal papers in SHM. Strategic diagrams and network analysis were used to map and visualize the academic landscape of SHM. Additionally, a co-venue analysis was performed to determine the conference and journal research communities within the field at each time segment. The analysis was conducted for three 5-year time periods providing insight on how the communities within the SHM research field have evolved.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2019
Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
PublisherDEStech Publications Inc.
Pages1512-1516
Number of pages5
ISBN (Electronic)9781605956015
StatePublished - Jan 1 2019
Event12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States
Duration: Sep 10 2019Sep 12 2019

Publication series

NameStructural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
Volume1

Conference

Conference12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Country/TerritoryUnited States
CityStanford
Period9/10/199/12/19

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Information Management

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