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:: Volume 15, Issue 2 (12-2024) ::
IJOR 2024, 15(2): 76-98 Back to browse issues page
Bibliometric analysis and visualization of published research in emerging technologies
Shabnam Mohammadi Ardakani , Hamid Babaei Meybodi *
Associate Professor, Department of Industrial Management, Faculty of Humanities, Meybod University, Meybod, Iran , dr.babaeihamid@gmail.com
Abstract:   (370 Views)
With the expansion of emerging technologies, their applications have been introduced as a transformative factor in many industries and fields. However, these developments require more research in the area of new technologies. Nevertheless, few studies have comprehensively examined the published research in this field. In this regard, bibliometric studies, as one of the effective research methods in the field of emerging technologies, are a practical and effective tool in identifying research patterns, knowledge flows, study content, and key terms. Using this method, one can understand and briefly examine the scientific foundations and impact of emerging technologies. In summary, conducting bibliometrics in the field of emerging technologies can be used as an effective tool in identifying and analyzing research paths and the development of advanced technologies. In this context, articles published in the field of emerging technologies in the period 2013-2023 in various fields have been examined. The required data includes 13,263 articles extracted from the WOS database and were analyzed using Biblioshiny software under R-package. The obtained results include identifying influential authors, leading journals, organizations, and countries related to the field of emerging technologies. Additionally, using precise bibliometric analysis tools, the authors' collaboration network, thematic trends, most common terms, and citation network have been extracted. Finally, with the help of network analysis, key clusters in the existing literature have been identified based on research areas of new technologies.
 
Keywords: Emerging technologies, bibliometrics, bibliometric analysis, Biblioshiny, R-package
Full-Text [PDF 1586 kb]   (305 Downloads)    
Type of Study: Review | Subject: Other
Received: 2025/01/26 | Accepted: 2025/04/14 | Published: 2025/04/14
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 15, Issue 2 (12-2024) Back to browse issues page
مجله انجمن ایرانی تحقیق در عملیات Iranian Journal of Operations Research
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