Research presentations

1. BIBLIOMETRICS
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2. 15-06-2023 2
Dr. Madhusudan Rao, Datrika
MBA, MPhil, PhD, MSc(Psy), UGC-NET, APSET,
PGDFTM, PGDIPR, DCA, MCIM(UK), Affi. CIPD(UK)
 Professor-Management in MR University for Women, Hyderabad. His M.Phil & PhD- area is
“Consumer Behaviour”. His current research interests include Consumer Behaviour, and
New-Age Marketing Practices. His teaching areas are Consumer Behaviour, Strategic
Management, Marketing Research, Environmental Science, Gender Sensitization and IPRs.
 He has a blend of Teaching and Industry experience of 26 years. He had worked as an
educator with different Government Universities and Ministries in Eritrea, Ethiopia and
Bahrain for approximately 13 years.
 He has 9 articles and 4 books to his credit. He is Advisory/ Editorial Board Member of
European Business & Management(USA), Intl. Journal of Business & Mgt (EU), Intl. Journal
of Technology & Mgt Research, Ghana(West Africa), IJREM journal, Laescula Education;
Member of British Council, MoE, Eritrea, Harvard Business School Publishing, and SHRM
Consultants. He has won the Distinguished Educator Award 2019 by IBAE at Dubai; Best
Senior Faculty Award 2019 by Novel Research Academy at Pondicherry; and a Memento by
UNMEE. His Scholastic work is accessible here: http://ssrn.com/author-181609

3. Bibliometrics
• It is the statistical analysis of bibliographics data
commonly focused on citation analysis or research
output publications.
• Earlier the use of bibliometric methods were very
frequently in the field of library and information
science. Nowadays, it is trending in every domain.
• It is used to provide quantitative analysis of academic
literature.
• Citational analysis is commonly used Bibliometric
method which is based on constructing the citation
graphs and networks.
• Many research fields use Bibliometric methods to
explore the impact of their fields.

4. Definition
• Bibliometrics is basically divided into two
words.
• Biblio means books
• Metrics means Measurement
“Bibliometric is a method that includes
statistical analysis of published articles and
citations therein to measure their impact.”

5. Data
• Web of Science, Scopus, Dimensions, and PubMed.
Co-authorship networks, citation-based networks, and
co-occurrence networks can be created based on data
downloaded from Web of Science, Scopus, and
Dimensions. Co-authorship networks and co-
occurrence networks can also be created based on
PubMed data.
• Crossref, Europe PMC, and Microsoft Academic.
Networks can also be created based on data retrieved
through the APIs of Crossref, Europe PMC, and
Microsoft Academic. These APIs can be queried
interactively in VOSviewer.
• Semantic Scholar, OpenCitations, and WikiData.
For a given set of DOIs, networks can also be created
based on data retrieved through the APIs of Semantic
Scholar, OpenCitations, and WikiData

6. Visualization
• Zooming and scrolling. Visualizations of bibliometric
networks can be explored in full detail using zoom and
scroll functionality similar to for instance Google
Maps. A smart labeling algorithm prevents labels from
overlapping each other.
• Density and overlay visualizations. Density
visualizations provide a quick overview of the main
areas in a bibliometric network. Overlay visualizations
can for instance be used to show developments over
time.
• Screenshots. Screenshots of bibliometric network
visualizations can be created at a high resolution and
can be saved in many popular graphical file formats,
both bitmap and vector formats.

7. Techniques
• Advanced layout and clustering techniques. State-of-the-art
techniques for network layout and network clustering are provided.
Layout and clustering results can be fine-tuned using various
parameters.
• Natural language processing techniques. Natural language
processing techniques are available for creating term co-occurrence
networks based on English-language textual data. Relevant and
non-relevant terms can be distinguished algorithmically.
• Creating bibliometric networks. A number of advanced features
are available for creating bibliometric networks (e.g., co-
authorship, bibliographic coupling, and co-citation networks). For
instance, the influence of publications with many authors, many
citations, or many references can be reduced using a fractional
counting approach. Data cleaning can be performed using
thesaurus files.

8. Advantages of Bibliometrics
• Growth of literature
• Growth of knowledge
• It is straightforward method, since based on
the simple counting, frequencies and
descriptive.
• On the first sight they are objective and
unbiased.
• Further directions for future researchers.

9. Advantages
It could help in number of activities includes:
• Demonstrate the importance and impact of your
own research
• Identify area of research strength and weakness
• Identifying the top researchers in subject area.
• Identify past, present and as well as forecast
future publishing trends.
• Study about the productivity of the institutions /
individual and the disciplines.
• Get quick publications in top tier journals.

10. Limitations of Bibliometrics
• Citation patterns can differ greatly between
disciplines. Only good sources are counted,
therefore a large number of papers have been
left unused.
• Paper may be cited in negative rather than
positive way, yet the citation would still be
counted.
• It does not include informal publications and
communications. Therefore, the scientific
development can not be predicted properly.

11. Sources of Bibliometric Data
• SciVal
• Scopus
• Web of Science
• PubMed

12. Some Computer Based Tools for
Bibliometric Analysis
• BibExcel
• HisCite
• VOS Viewer
• Cite space
• Citenet Explorer
• Gephi
• Pajek
• Nvivo

15. Q & A
madhu4m@gmail.com
Cell: 09701877449
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16. Good luck Authors for your
Quick publication of
Articles!
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17. Next Webinars on
• Digital Marketing
• IPRs
• Marketing Management
• Consumer Behaviour
• Strategic Management
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