Annotated Bibliography accounts all the research being done on a given topic that would be listed in alphabetical order. Depending on the requirement, it either goes to large part of the dissertation, or it may be an independent piece of work.
1. HOW TO CONDUCT
BIBLIOMETRIC ANALYSES ?
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Tutors India
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2. INTRODUCTION
• Merigó and Yang (2017) gave the recent definition of bibliometric analysis as ‘A
quantitative study of bibliographic material (data) and provides a general picture
of a research field that research papers, authors, and fields can include categories.’
• Bibliometric analysis filters out research by offering an estimate of their impact. In
addition, bibliometric analysis offers a different perspective in a field of research; it
can examine the relationship between recent studies and their analyses.
• Thus, bibliometric research allows one to engage in various activities to avoid bias
and study choices.
3. STEPS FOR CONDUCTING A
BIBLIOMETRIC ANALYSIS
• There are two broad techniques for conducting a bibliometric analysis- performance
analysis and science mapping.
• While performance analysis gives importance to research contributions to a specific field,
science mapping focuses primarily on analysing the relationships between the research
constituents.
Defining the research question:
Defining a research question gives clarity on what a scholar wants to research and
analyse. During this process, one should identify the study areas, research topics and
timeframe they want to analyse.
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4. Data collection:
Relevant data is collected from reliable sources like articles, books, patents, and
conference proceedings, from online databases or search engines. Various databases like
Web of Science, Google Scholar or Scopus can be helpful.
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Data pre-processing:
Subsequent to the data collection, the data is pre-processed by cleaning and
standardising it. Duplicates are removed, author names are standardised, and the data is
formatted for analysis.
4. Data analysis:
Bibliometric software is available that helps with the data analysis. Examples include
VOSviewer, BibExcel, or CiteSpace. The number of citations, publications and co-authorship
networks are analysed, and the frequently used keywords and topics are identified.
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5. Result interpretation:
The results are interpreted after data analysis, which answers the research question.
Trends, patterns and gaps in the literature are identified, and conclusions are drawn from
the analysis.
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6. Result communication:
The results of the analysis are presented clearly and concisely. Finally, the section includes
a written report explaining the methodology and findings of the analysis, along with
graphical representations like tables, charts and graphs.
7. CONCLUSION
• Bibliometric analysis is a quantitative study that provides a general picture of a
field of research.
• Conducting bibliometric analysis requires a combination of data collection, data
processing, and data analysis skills.
• Therefore, it is vital to use appropriate software and tools to ensure the accuracy
and reliability of the results.
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