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A Three Decade Mixed-Method Bibliometric Investigation of the IEEE Transactions on Engineering Management

Marzi G.
•
Caputo A.
•
Garces E.
•
Dabic M.
2020
  • journal article

Periodico
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
Abstract
This paper offers a comprehensive overview of the IEEE Transactions on Engineering Management (IEEE TEM) from 1985 to 2017. This paper employs a mixed-method examination based on an in-depth interview with the new editor-in-chief regarding the challenges for the future of IEEE TEM, along with a bibliometric analysis of the journal. By using Web of Science Core Collection data, the analysis maps the knowledge produced and disseminated by IEEE TEM, revealing the most cited papers, the most frequently occurring keywords and the interconnection between them, the most prolific authors and their coauthorship network, and the most prolific countries for published articles. This paper also shows the main avenues of research covered by IEEE TEM and their evolution through the analysis of the correlation of keywords. This paper offers an example application of a mixed-method bibliometric analysis, seeking to extend the quantitative findings by including other sources of data.
DOI
10.1109/TEM.2018.2870648
WOS
WOS:000510672900002
Archivio
http://hdl.handle.net/11368/2997184
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85054469918
https://ieeexplore.ieee.org/document/8481522
Diritti
open access
license:copyright editore
license:digital rights management non definito
license:digital rights management non definito
FVG url
https://arts.units.it/request-item?handle=11368/2997184
Soggetti
  • Bibliometric

  • clustering method

  • data mining

  • interview

  • pattern clustering

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