Bibliometric Characteristics of Highly Cited Papers on Internet of Things Assessed with Essential Science Indicators

Ming Tang () and Huchang Liao ()
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Ming Tang: Sichuan University
Huchang Liao: Sichuan University

Chapter Chapter 4 in Internet of Things, 2021, pp 67-83 from Springer

Abstract: Abstract The Internet of Things (IoT) has been undergoing a rapid development and has obtained increasing visibility. A large number of scientific research achievements have been published. This study aims to provide a bibliometric review for highly cited papers in the field of IoT using the Essential Science Indicators, a widely used database to evaluate scientific outputs. Through the retrieval process, 388 papers were identified as highly cited papers. Based on these 388 papers, we analyze their characteristics from four perspectives: annual and discipline distributions; productive players in terms of journals, countries, institutes, and authors; top 15 most cited papers; and author keyword analysis. Interesting results are given after the analyses. Through author keyword analysis, we also provide research trends of the IoT for future study. It is hoped that our work will be helpful for practitioners and scholars who are interesting in the IoT.

Keywords: Internet of Things; Bibliometric; Highly cited papers; Essential Science Indicators (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-70478-0_4

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DOI: 10.1007/978-3-030-70478-0_4

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