Industry 4.0: A bibliometric analysis and detailed overview
By Pranab K. Muhuri, Amit K. Shukla, Ajith Abraham. Engineering applications of artificial intelligence, 2019
458 citations recorded by the source corpus.
Abstract 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.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/8fe2dd8d12f5f4864dbee7cc65365b48a55917c6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
Citations in the corpus
- Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues (2021, background): “0 [7] by helping scholars frame their streams of research in the “tangled forest” of”