Bibliometric analysis is a quantitative research method. It uses statistical techniques to analyse bibliographic data from large volumes of scientific literature. It helps to identify patterns, trends, and influential authors, key research areas, and research gaps. A bibliometric analysis and review usually involves the following techniques such as,
It is a popular and novel technique in the field of business and management. Bibliometric analysis is now involved as a crucial tool for measuring the scientific outputs of different scientific items, such as papers, authors, keywords, journals, institutions, and countries.
Bibliometric analysis is widely used by academics, researchers, universities, funding agencies, website owners, and industries to understand research trends, evaluate impact, identify key contributors, and inform strategic decisions.
bibliometric review paper uses quantitative analysis to assess and map the literature within a specific research field, identifying trends, influential articles, prominent authors, and key concepts.
Decide what you aim to achieve
Choose the publication period
Narrow down the focus to a specific topic
Use reputable databases like PubMed, Scopus, Web of Science, or Embase.
Use relevant keywords and Boolean
Export citation data, including titles, authors,
Uses reference management software.
Use tools for simple trends and distribution graphs.
As there is a growing demand for the bibliometric analysis in several management fields, there are certain bibliometric studies fall prey to common errors that affect the quality & reliability of their findings.
Bibliometric analysis provides a powerful lens for effective research, so avoiding these common mistakes can significantly improve the quality and relevance of the study. Avoiding these mistakes will surely boost your studies and truly contribute to advancing knowledge in their respective fields.