A comprehensive bibliometric analysis and visualization of smart home research
Ramphul Ohlan and
Anshu Ohlan
Technological Forecasting and Social Change, 2022, vol. 184, issue C
Abstract:
The smart home penetration rate has grown considerably across the globe. This study presents a comprehensive bibliometric analysis of the trends and patterns in the general smart home research corpus using data from 5167 publications published in the Web of Science indexed sources over 2001–2021. The results show that the volume and impact of studies on smart homes have grown amazingly. Across multiple disciplines, at least 82 % of the research work in this set has been cited at least once. Additionally, China has emerged as a global leader in smart home research publications and influence. The USA has also made a considerable contribution to smart home scholarship. Most of the analyzed research publications are collaborative types. The scholars affiliated with China-based institutions have a close association with those from the USA, Australia, England, and Taiwan in the global network of smart home research papers. The Institute of Electrical and Electronics Engineers (IEEE) is identified as the leading publisher in this research field. The citation and usage count are found to be positively associated with each other. Intelligent sensors, wireless fidelity, load modeling, real-time systems, and computational modeling are identified as emerging knowledge domains in the field of smart homes.
Keywords: Home automation; Performance analysis; Science mapping; Co-citation analysis; Burst detection; Journal citation indicator (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522004966
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522004966
DOI: 10.1016/j.techfore.2022.121975
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().