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Symmetry 2017, 9(12), 301; doi:10.3390/sym9120301

Internet of Things: A Scientometric Review

1
Departamento de Telemática, Universidad del Cauca, Popayán, Cauca 190002, Colombia
2
School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA
3
Intel Corporation, 2111 NE 25th Ave., Hillsboro, OR 97124, USA
*
Author to whom correspondence should be addressed.
Received: 31 August 2017 / Revised: 9 November 2017 / Accepted: 23 November 2017 / Published: 6 December 2017
(This article belongs to the Special Issue Applications of Internet of Things)
View Full-Text   |   Download PDF [592 KB, uploaded 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). A Python script called ScientoPy was developed to perform quantitative analysis of this data set. This provides insight into research trends by investigating a lead author’s country affiliation, most published authors, top research applications, communication protocols, software processing, hardware, operating systems, and trending topics. Furthermore, we evaluate the top trending IoT topics and the popular hardware and software platforms that are used to research these trends. View Full-Text
Keywords: Internet of Things; IoT; bibliometric; scientometric; ScientoPy; Web of Science; Scopus; applications; smart environments; communication protocols Internet of Things; IoT; bibliometric; scientometric; ScientoPy; Web of Science; Scopus; applications; smart environments; communication protocols
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ruiz-Rosero, J.; Ramirez-Gonzalez, G.; Williams, J.M.; Liu, H.; Khanna, R.; Pisharody, G. Internet of Things: A Scientometric Review. Symmetry 2017, 9, 301.

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