Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Identification of Promising Research Issues in the Digital Industry Topic by Analyzing Scopus Bibliometric Data for 2018–2022

Version 1 : Received: 4 October 2022 / Approved: 5 October 2022 / Online: 5 October 2022 (14:00:07 CEST)

A peer-reviewed article of this Preprint also exists.

Chigarev, B. (2023). Identification of promising research issues in the Digital Industry topic by analyzing Scopus bibliometric data for 2018–2022. Energy Systems Research, 6(2), 14-36. Chigarev, B. (2023). Identification of promising research issues in the Digital Industry topic by analyzing Scopus bibliometric data for 2018–2022. Energy Systems Research, 6(2), 14-36.

Abstract

The article is devoted to identifying promising research issues on the topic of Digital Industry based on the analysis of bibliometric data from Scopus platform for 2018–2022. The definition of promising issues derived from the titles, additionally abstracts, of highly cited works by authors with high publication activity. Authors' Scopus profiles were used to determine their affiliations, which are important for in-depth analysis of selected promising Digital Industry tasks. Metadata filtering to identify highly cited papers on particular issues was performed by keywords, Subject Areas, affiliations with countries and sponsoring organizations. Additionally, bibliometric metadata were clustered based on the co-occurrence of terms using VOSviewer. Within these clusters, articles of interest were identified for the formulation of promising research issues on the topic of Digital Industry, which will be subjected to in-depth analysis in separate papers.

Supplementary and Associated Material

https://figshare.com/authors/Boris_Chigarev/6474086: Supplementary data for publications

Keywords

digital industry; promising research issues; bibliometric metadata; high-cited publications; Scopus; VOSviewer

Subject

Engineering, Industrial and Manufacturing Engineering

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