Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 15, Issue 12, Pages 6531-6540Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2019.2929414
Keywords
Internet of Things; Software algorithms; Trajectory; Software; Bibliometrics; Standards; Informatics; Internet of Things; knowledge development; main path analysis; scientometric
Categories
Funding
- Shaanxi Social Science Fund Project [2018S09]
- National Natural Science Foundation of China [71874135]
- MOE (Ministry of Education in China) the Project of Humanities and Social Sciences [18YJA630068]
- Key Research and Development Plan of Shaanxi Province [2018ZDCXL-SF-03-04]
Ask authors/readers for more resources
The Internet of Things (IoT), as an important technical domain in the future, has received wide attention globally from different disciplines. The research output in this domain, therefore, grew rapidly in the past ten years. This article deeply investigates the knowledge base and knowledge development trajectory of the domain since the IoT was proffered in 1999. By adopting basic statistical and keyword cooccurrence methods, the most influential countries, institutions, journals, and scholars in the domain, as well as the division of core, hot keywords, and subdomains, are investigated. By using the main path analysis method, a survey is conducted on the development trajectory of the domain on the basis of knowledge inheritance; the four core branches-industry, big data, cloud computing, and IoT security; and the three application studies of industry, healthcare, and smart city.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available