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Bibliometric analysis of human factors research: Intellectual structure and evolution

  • Jingyi Wang
  • , Wei Shan*
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Human factors remains a recent field of research that is dynamic and changing with technology and social life. This paper aims to conduct a bibliometric analysis of human factors research. We explore research on Human Factors and Ergonomics through SSCI. We find that highly cited papers is a negligible portion of the total. We map the countries and the most relevant approaches as well as detailing the new theoretical perspectives to human factors theory. The analysis conducted uses multivariate statistical analysis techniques in addition to the co-citation matrix to shed light on these issues. The results provide a global perspective of the field, identifying the works that have had the greatest impact, the intellectual interconnections among published papers, and the main research traditions or themes that explored in human factors. Structural and longitudinal analyses reveal changes in the intellectual structure of the field over time.

Original languageEnglish
Title of host publicationAdvances in Human Factors, Software, and Systems Engineering - Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017
EditorsTareq Ahram, Waldemar Karwowski
PublisherSpringer Verlag
Pages31-42
Number of pages12
ISBN (Print)9783319600109
DOIs
StatePublished - 2018
EventAHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017 - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume598
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017
Country/TerritoryUnited States
CityLos Angeles
Period17/07/1721/07/17

Keywords

  • Bibliometric analysis
  • Ergonomics
  • Human factors
  • Intellectual structure

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