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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Visualizing the Landscape of Home IoT Research: A Bibliometric Analysis Using VOSviewer
Jue Wang1, Hak-Seon Kim2,3
1School of Global Studies, Kyungsung University, 309 Suyoungro, Nam-gu, Busan 48434, Republic of Korea.
Sensors (Basel, Switzerland)
|March 30, 2023
Summary
This bibliometric analysis of home Internet of Things (IoT) research reveals evolving trends and the impact of COVID-19. It provides a valuable reference for understanding the current research landscape.
Area of Science:
- Computer Science
- Engineering
- Social Sciences
Background:
- Home automation systems increasingly utilize the Internet of Things (IoT).
- Understanding research trends in home IoT is crucial for future development.
- Bibliometric analysis offers a systematic approach to map scientific output.
Purpose of the Study:
- To conduct a bibliometric analysis of home IoT research published between 2018 and 2022.
- To identify key research themes, their evolution, and the influence of external factors like COVID-19.
- To provide a comprehensive overview and reference point for the home IoT research landscape.
Main Methods:
- Data sourced from Web of Science (WoS) database.
- Analysis of 3880 research papers using VOSviewer software.
- Bibliometric analysis including citation, co-citation, and keyword analysis.
Main Results:
- Identified distinct clusters and chronological shifts in home IoT research topics.
- Highlighted the significant impact of the COVID-19 pandemic on research focus within the IoT field.
- Visualized yearly research themes and their interrelationships over a five-year period.
Conclusions:
- The study maps the current research status and evolution of home IoT.
- Findings offer valuable insights for researchers, developers, and policymakers in the home IoT domain.
- Provides a foundational reference for future research directions and strategic planning.
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