S S symmetry Article Internet of Things: A Scientometric Review Juan Ruiz-Rosero 1,* ID , Gustavo Ramirez-Gonzalez 1 ID , Jennifer M. Williams 2 ID , Huaping Liu 2, Rahul Khanna 3 ID and Greeshma Pisharody 3 ID 1 Departamento de Telemática, Universidad del Cauca, Popayán, Cauca 190002, Colombia;
[email protected] 2 School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA;
[email protected] (J.M.W.);
[email protected] (H.L.) 3 Intel Corporation, 2111 NE 25th Ave., Hillsboro, OR 97124, USA;
[email protected] (R.K.);
[email protected] (G.P.) * Correspondence:
[email protected]; Tel.: +57-(2)-820-9900 Received: 31 August 2017; Accepted: 23 November 2017; Published: 6 December 2017 Abstract: Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002–2016) in two main scientific databases (Clarivate Web of Science and Scopus).