This research was carried out using thea bibliometric method to thematically analyze the articles on IoT in the Web of Science (WoS) with a Hierarchical Agglomerative Clustering (HAC) approach. First, the descriptors of the related articles published from 2002 to 2016 were extracted from WoS July 23, 2017, by conducting a keyword search using the keywords “Internet of Things” keywordThings.” Data analysis and clustering were carried out in SPSS, UCINET, and PreMap. The analysis results revealed that the scientific literature published on IoT during the aforesaid period had grown exponentially, with an approximately 48% growth rate in the last two years of the study period (i.e. 2015(2015 and 2016). After analyzing the themes of the documents, the resulting concepts were classified into twelve clusters. The twelve main clusters included: Privacy and Security, Authentication and Identification, Computing, Standards and Protocols, IoT as a component, Big Data, Architecture, Applied New Techniques in IoT, Application, Connection and Communication Tools, Wireless Network Protocols, and Wireless Sensor Networks (WSNs). The research results reflected the status of the research on IoT,; hence, the possibility of using these results in properly planning for the qualitative and quantitative improvement in scientific production.