Best Practices in Bibliometric Analysis: A Critical Review
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Abstract
Bibliometric analysis, a quantitative and visualizing approach to study the patterns of associations in available literature, has become a vital tool in research evaluation and strategic planning. By systematically analysing publications, citations, authors, journals, and other scholarly output, the researchers can uncover emerging trends, identify influential researches, scholars, and assess the impact of themes.
This paper aims to provide a comprehensive review of best practices in bibliometric analysis, drawing upon both secondary data and experiential knowledge. The study starts with explaining the concept, its critical aspects such as data quality and bias, appropriate data sources, robust statistical techniques, and effective data visualization using software’s like VoSViewer and Gephi. The paper also showcases the general problems and errors associated with use of bibliometric analysis, including the potential for misinterpretation and oversimplification of complex research landscapes. By addressing these issues and promoting best practices, researchers can conduct more rigorous and insightful bibliometric studies.