google scholar as a data source for bibliometric analysis
TRANSCRIPT
Google Scholar as a data source
for bibliometric analysis
Nicolás Robinson-Garcia
OBJECTIVES
GOOGLE SHOLAR AS A DATA SOURCE FOR BIBLIOMETRIC ANALYSIS
AGENDA
Main characteristics of
Google Scholar
GS AS AN-INFORMATION DISCOVERY TOOL
GS AS AN-INFORMATION DISCOVERY TOOL
GS AS AN-INFORMATION DISCOVERY TOOL
GS AS AN-INFORMATION DISCOVERY TOOL
GS AS A TOOL FOR RESEARCHERS
GS AS A TOOL FOR RESEARCHERS
GS AS A TOOL FOR RESEARCHERS
GS AS A TOOL FOR RESEARCHERS
GS AS A TOOL FOR RESEARCHERS
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ALERTS UPDATES
LIBRARY
+ CITE
GS AS A TOOL FOR RESEARCHERS
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ALERTS
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ALERTS
Following
Christian’s new
papers or
citations
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UPDATES
UPDATES
Ok, I have published about
these topics, so I may be
interested on these papers
Ok, this paper cites me so it should
be related to my research
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LIBRARY + CITE
•Cite easily from GS
results: formats
MLA, APA, Chicago
•Get the formatted
reference and
copy/paste it into a
Bibliography.
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LIBRARY + CITE
The Google Scholar family
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PROFILES METRICS
SOURCE FOR
BIBLIOMETRIC ANALISYS
THE GOOGLE SCHOLAR FAMILY
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PROFILES
Ranking of researchers
by keywords/areas are
generated through this
classification
TIP: there is always a field where you can be the most cited author!
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PROFILES
CSIC RANKING OF RESEARCHERS ACCORDING TO GSC
UGRinvestiga – The time for bibliometric applications
UGRinvestiga – The time for bibliometric applications
UGRinvestiga – The time for bibliometric applications
• Easy to set up (just search for
your papers)
• Terrific tool for comparing
researchers within a field or
department
• Automatically updated basic
bibliometric data
• No restrictions on source,
language or area
• Everyone can measure their
performance (and their
colleagues')
PROFILES
• Data can be easily manipulated
(a researcher can self-claim
non-authored papers)
• Can stimulate vanity and ego
• Can generate unfair
comparisons (for example,
researchers from different
areas in a single univ)
• Can generate unfair analysis by
non-bibliometric experts
STRENGTHS WEAKNESSES
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METRICS
• Free product to compare and rank
journals
• We can get impact information about
non-JCR journals and about national
and SSH publications
• Transparency: citations for every
paper that contributes to the h-index
can be checked
• High correlation with JCR Impact
factor (0.82)
• Simple to use and understand by any
scholar
• Can be easily replicated
• Methodological inconsistencies such
as comparing journals from
different areas
• Lack of proper bibliographic control
(duplicates, “dirty” data,…)
• No selection criteria
• No action against data manipulation
• No info about new updates (expected
to be updated yearly)
• Just top results are presented
• H index favours journals with high
production
STRENGTHS WEAKNESSES
METRICS
Google Scholar, a bibliometric
data source?
GETTING THE FACTS STRAIGHT
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GETTING THE FACTS STRAIGHT
GETTING THE FACTS STRAIGHT
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JOURNALS
Cabezas & Delgado (2013)
Harzing & der Wal (2009)
GETTING THE FACTS STRAIGHT
GETTING THE FACTS STRAIGHT
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GETTING THE FACTS STRAIGHT
SO, CAN I USE IT OR NOT?
SO, CAN I USE IT OR NOT?
HOW CAN I USE GS?
HOW CAN I USE GS?
SOME PRODUCTS BASED ON GS
Research Authors Publishers
Holistic analysis model
Applied to Library & Information Sciences in Spain http://www.biblioteconomia-documentacion-española.infoec3.es/
Conclusions
THE CRITICAL VIEW
THE OPTIMISTIC VIEW
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FURTHER READINGS
