Industry 4.0: A bibliometric analysis and detailed overview

• Published in: Engineering applications of artificial intelligence Vol. 78; pp. 218 - 235
• Main Authors: Muhuri, Pranab K., Shukla, Amit K., Abraham, Ajith
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2019
• Subjects: Bibliometric study; Cyber–physical systems (CPS); Industry 4.0; Internet of Things (IoT); SCOPUS; Survey; Web of science; Bibliometric study; Survey; Internet of Things (IoT); Cyber–physical systems (CPS); SCOPUS; Web of science; Industry 4.0
• ISSN: 0952-1976; 1873-6769
• DOI: 10.1016/j.engappai.2018.11.007

With the arrival of Industry 4.0, the overall transformation using digital integration and intelligent engineering has taken a giant leap towards futuristic technology. All devices today are equipped with machine learning, automation has become a priority and thus another industrial revolution is in the making. In this state-of-the-art paper, we have performed bibliometric analysis and an extensive survey on recent developments in the field of “Industry 4.0”. In bibliometric analysis, different performance metrics are extracted, such as: total papers, total citations, and citation per paper. Further, top 10 of the most productive and highly cited authors, major subject areas, sources or journals, countries, and institutions are evaluated. A list of highly influential papers is also assessed. Later on, a detailed discussion of the most cited papers is analysed and a sectional classification is provided. This paper summarizes the growth structure of Industry 4.0 during the last 5 years and provides the concise background overview of Industry 4.0 related works and various application areas.