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

In: Internet of Things

Author

Listed:
  • Ming Tang

    (Sichuan University)

  • Huchang Liao

    (Sichuan University)

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.

Suggested Citation

  • Ming Tang & Huchang Liao, 2021. "Bibliometric Characteristics of Highly Cited Papers on Internet of Things Assessed with Essential Science Indicators," International Series in Operations Research & Management Science, in: Fausto Pedro García Márquez & Benjamin Lev (ed.), Internet of Things, chapter 0, pages 67-83, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-70478-0_4
    DOI: 10.1007/978-3-030-70478-0_4
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