Research code: 7450
Ethics code: IR.ABZUMS.REC.1404.021
1- Alborz University of Medical Sciences
2- Alborz University of Medical Sciences ,narminhassanzadeh@gmail.com
2- Alborz University of Medical Sciences ,
Abstract: (21 Views)
Background and Aims: Reliability engineering and system safety have become critical areas of research in complicated industries. Trend and scintometric analysis of scientific journals play a central role in shaping future research directions. The present study aims to perform scientometric analysis of the journal Reliability Engineering and System Safety (RESS) between 2014 and 2024.
Materials and Methods: A total of 4,813 bibliographic data were extracted from the Scopus database by searching the journal title within the defined time span and exported in CSV format for further analysis. VOSviewer and Excel softwares were employed to analyze, visualization and mapping several analytical dimensions including annual publication trends, author co-authorship networks, country collaboration networks, institutional collaboration patterns, and thematic research clusters derived from keyword co-occurrence analysis.
Findings: A total of 4,813 articles were identified from 2014 to 2024. In the co-authorship network, Enrico Zio, Levitin, and Xing had the highest collaboration. In the country collaboration network, China, the United Kingdom, the United States, and France showed the highest collaboration. Beihang University had the highest collaboration in the institutional network. In the thematic keyword clusters, Reliability, Risk Assessment, Reliability Analysis, and Uncertainty Analysis were the most frequent terms.
Conclusion: The increasing output and expanding collaboration networks indicate that uncertainty analysis, risk assessment, and reliability engineering remain central themes in addressing challenges in modern engineering systems. The identified trends suggest that future research will continue to focus on risk management, resilience enhancement, and intelligent technologies to improve the safety and reliability of complex engineering systems.
Materials and Methods: A total of 4,813 bibliographic data were extracted from the Scopus database by searching the journal title within the defined time span and exported in CSV format for further analysis. VOSviewer and Excel softwares were employed to analyze, visualization and mapping several analytical dimensions including annual publication trends, author co-authorship networks, country collaboration networks, institutional collaboration patterns, and thematic research clusters derived from keyword co-occurrence analysis.
Findings: A total of 4,813 articles were identified from 2014 to 2024. In the co-authorship network, Enrico Zio, Levitin, and Xing had the highest collaboration. In the country collaboration network, China, the United Kingdom, the United States, and France showed the highest collaboration. Beihang University had the highest collaboration in the institutional network. In the thematic keyword clusters, Reliability, Risk Assessment, Reliability Analysis, and Uncertainty Analysis were the most frequent terms.
Conclusion: The increasing output and expanding collaboration networks indicate that uncertainty analysis, risk assessment, and reliability engineering remain central themes in addressing challenges in modern engineering systems. The identified trends suggest that future research will continue to focus on risk management, resilience enhancement, and intelligent technologies to improve the safety and reliability of complex engineering systems.
Article number: 7
Type of Study: Research Article |
Subject:
Safety
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