# Internet of Things: A Scientometric Review
## 1 Introduction  
Internet of Things (IoT) connects billions of devices to the Internet and has gained tremendous popularity in the past decade as a diverse and pioneering technology. In general, IoT devices combine sensing, computation, and communication techniques to deliver remote data collection and system control. Today, these \"things\" range from everyday consumer electronics to specialized industrial systems [1], such as fitness-tracking wristwatches [2], transport logistics [3], and smart cars [4] to manufacturing [5] and smart grids [6]. Contingent on implementation, an IoT device may be used for real-time alerts, data archiving, trend analysis, and forecasting by leveraging related technologies such as cloud services [7]. Furthermore, the technology has proven useful for small- and large-scale networks, generating a vast portfolio of enabling hardware and software at various complexities [8; 9]. IoT technology has led to solutions in use-cases ranging from smart appliances, utilities, biomedical, industrial, data center management, agriculture, body area networks (BANs), surveillance, and more. Proliferation of IoT research has contributed to increased availability, affordability, responsiveness, diversity, miniaturization, mobility, and more. Recent studies have demonstrated that IoT,cloud computing, and mobile solutions are among the top technologies that will shape our future in the next 3-5 years [7]. Not surprisingly, connectivity and intelligence are becoming a contributing factor to many designs fueling advanced development. Therefore, the number of new designs and publications categorized under IoT continues to grow exponentially. Evolution of IoT has spearheaded many research fields such as wireless sensor networks (WSNs), Big Data, and cloud computing. Wireless Sensor Networks (WSN) comprise: sensor nodes, specialized firmware [10], relay devices, and data sinks called a gateway. In addition to facilitating data archiving and local processing, the gateway also acts as a hub that connects to the worldwide web for cloud storage and services using a WiFi or cellular network.The computational complexity of analysis and functional use of the data towards trend and forecasting has grown rapidly, such as in the data center management use-cases [11]. The radio frequency (RF) communication protocols and the interaction between these sensor entities continue to place stringent hardware requirements. Implementations using one software stack over another could achieve better range, quality-of-service (QoS), and spectral efficiency, at the expense, however, of additional processing, storage, power, and form-factor [9]. Additionally, the connectivity and archiving with WSN results in a large volume of samples that create a \"big data\" challenge. While IoT is not a new paradigm, it is gaining traction in recent years around the world and yielding extensive research from diverse perspectives. As a result, IoT and similar technologies are progressively challenging topics to review. Starting in 2010, [PERSON] et al. made a survey about IoT enabling technologies and applications [12]. Then, in 2013, [PERSON] et al. defined a cloud center vision for worldwide implementation of IoT, describing the key enabling technologies, applications domains and future directions [13]. In 2014, [PERSON] presented an extended review about IoT key features, driving technologies and protocols, applications, challenges, IoT initiatives, and research directions [14]. Next, in 2015, [PERSON] et al. developed a co-word analysis, generating seven clusters that represented the intellectual structure of IoT, which were analyzed by a co-occurrence matrix [15]. The following year, in 2016, [PERSON] et al. composed a bibliometric study about the future vision, applications, and challenges of Internet of Things [16]. In that review, [PERSON] et al.