Bibliometric Analysis of Internet of Things Based on CiteSpace

IE&EM 2019 ◽  
2020 ◽  
pp. 276-283
Author(s):  
Hong-fei Guo ◽  
Chun-yu Xu ◽  
Ru Zhang ◽  
Jin-cheng Shi ◽  
Ting Qu ◽  
...  
2021 ◽  
Author(s):  
Maria de Jesus Diaz Lara ◽  
Jessica Garizurieta Bernabe ◽  
Ruben Alvaro Gonzalez Benitez ◽  
Jazmin Morales Toxqui ◽  
Monica Karel Huerta

2021 ◽  
Author(s):  
Fairuz Iqbal Maulana ◽  
M. Aldiki Febriantono ◽  
Dwi Risza Budi Raharja ◽  
Inda Rusdia Sofiani ◽  
Vipkas Al Hadid Firdaus

2020 ◽  
Vol 12 ◽  
pp. 100318
Author(s):  
Abderahman Rejeb ◽  
Steve Simske ◽  
Karim Rejeb ◽  
Horst Treiblmaier ◽  
Suhaiza Zailani

2021 ◽  
Vol 13 (2) ◽  
pp. 115-136
Author(s):  
Katarzyna Szum

Abstract Modern cities face many challenges related to globalisation, metropolisation and digitalisation. The smart city concept, which has been gaining popularity in recent years, is considered an answer to their needs. One of the paradigms of modern smart cities is the Internet of Things. This article aims to identify the main research directions and trends in the scientific literature in the field of Internet-of-Things-based smart cities. The author of the paper conducted a bibliometric analysis of publications from 2012–2021, collected from the Web of Science, Scopus and IEEE Xplore databases. The methodology includes: (i) the selection of databases and key words, (ii) defining search criteria, (iii) data export, creation of an aggregate database and record selection, and (iv) the analysis of the results and identification of the major research trends. The study involved 1019 publications. The last stage of the research process identified the leading countries, institutions, journals, and authors in terms of publication activity, as well as the most frequently occurring terms. The key word analysis allowed identifying five main research directions: IoT application domains in smart cities, IoT architecture for smart cities, energy, security and privacy and data. Within each area, the main research themes have been identified, and selected publications have been reviewed.


2021 ◽  
Vol 13 (6) ◽  
pp. 3299
Author(s):  
Adriane Cavalieri ◽  
João Reis ◽  
Marlene Amorim

This study investigates the “Internet of things” (IoT) and “Circular Economy” (CE) relationship in the current scientific literature focused on case studies or use cases on manufacturing context. To the best of our knowledge, this study is the first to map the science centered on “case studies” with respect to the “IoT” and “CE” connection, contributing to fill the gap of the subject that is already relevant to the scientific community and practitioners. The research methodology consists of developing a bibliometric study, employing PRISMA process, whose data is obtained from the Web of Science database. The VOSviewer was the computer program selected for the bibliometric analysis. The Web of Science (WoS) analysis tool supports VOSviewer. The papers were analyzed according to network analysis principles. The qualitative content analysis complements these results. The results show the high-frequency keywords and topics associated with the theme “IoT and CE”; the most cited papers; the intellectual structure of “IoT and CE”; the new emerging themes in scientific research; and social networks among the researchers. The paper’s contribution is the results of the bibliometric analysis and a better understanding of the relationship of “IoT” and “CE” by the “case studies” addressed in the empirical investigations.


2020 ◽  
Vol 13 (5) ◽  
pp. 643 ◽  
Author(s):  
Surabhi Singh ◽  
Farha Haneef ◽  
Sumit Kumar ◽  
Viput Ongsakul

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yiou Wang ◽  
Fuquan Zhang ◽  
Junfeng Wang ◽  
Laiyang Liu ◽  
Bo Wang

In recent years, with the emergence of many Internet of Things applications such as smart homes, smart city, and connected vehicles, the amount of network edge data increases rapidly. Now, edge computing for Internet of Things has attracted the research interest of many researchers. Then, a thorough analysis of the current body of knowledge in edge computing for Internet of Things is conducive to a comprehensive understanding of the research status and future trends in this field. In this paper, a bibliometric analysis of edge computing for Internet of Things was performed using the Web of Science (WoS) Core Collection dataset. The relevant literature studies published in this field were quantitatively analyzed based on a bibliometric analysis method combined with VOSviewer software, and the development history, research hotspots, and future directions of this field were studied. The research results show that the number of literature studies published in the field of edge computing for Internet of Things is on the rise over time, especially after 2017, and the growth rate is accelerating. China and USA take the lead position in the number of literature studies published. Zhang is the most productive author, and Satyanarayanan is the most influential author. IEEE Access and IEEE Internet of Things Journal are the main journals in this field. Beijing University of Posts Telecommunications has published most literature studies. Research hotspots of edge computing for Internet of Things mainly include specific problem research such as resource management, architecture research, application research, and fusion research of this field with some other fields such as artificial intelligence and 5G.


2021 ◽  
Vol 91 ◽  
pp. 01033
Author(s):  
Marie Černá ◽  
Lucie Vallišová

Society 4.0 and its tools influence significantly current human activities. Approach of people to use of information have changed, information technologies became part of our daily life. Data are shared and processed using different processing procedures than were used 20 years ago. It has many impacts on lives of individuals and interpersonal relations. This contribution deals with the issue of Internet of Things (IoT) as the tool enabling people more efficient information management. The objective of this contribution is to outline the significance of IoT and provide the overview of this technology. The contribution is based on the literature research and contains bibliometric analysis confirming the IoT significance for current and future human activities.


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