Bibliometric
Techniques
Citation
analysis
is based on the premise that heavily cited articles are likely to have
exerted
a greater influence on the subject than those less frequently
referenced and
thus are indicators of activity or importance to a field. Although this
assumption may have weaknesses, with adequate screening and a
sufficiently
large sample, citation analysis can provide useful insight into which
journals,
papers, and authors are considered influential. As such, citation
analysis
represents "the field's view of itself."
Citation
analysis fails to
illustrate the structure of influence
within a field. Co-citation analysis is thus a handy adjunct to
citation
analysis for identifying relationships
among authors, topics, journals, keywords, or even research methods,
and
thereby illustrating structural groupings of these relationships. It
also helps
illustrate how such groupings relate to each other. Co-citation
analysis helps
reveal “the intellectual structure of scholarly fields” and there is
“nothing
better for reconnoitring ‘macro-level’ intellectual structure as it
evolves...
The maps are essentially a new kind of graphics for revealing
inter-textual
relationships.”
Illustrations
of the structure of the co-citations representing a field can be
generated from a number of approaches such as statistical
multi-dimensional scaling or principal components factor analysis, or
network graphing techniques such as spring-embedded diagrams.
Bibliometrics can be performed on data which represent different levels and show the different dimensions which can be drawn from citation/co-citation studies:
- Co-word terms from article titles and keywords can be used to identify major themes
- Journal title co-citation networks display the linkages amongst disciplines
- Individual publications co-citation networks can show concentrations of underlying themes and how they relate
- Author co-citations used to identify the most important individuals and their role in developing a field
If you want to perform your own study, read this starter on how to use the Bibexcel package in conjunction with the ISI web of Science citation database.
- “The Evolution of the Intellectual Structure of Operations Management—1980-2006: A Citation/Co-Citation Analysis,” with J. Meredith, Wake Forest University, forthcoming Journal of Operations Management, (2008) Vol. 26.
- "Operations
Management Themes, Concepts and Relationships: A Forward Retrospective
of the
IJOPM," with R. Fitzgerald, International Journal of
Operations
and Production Management, (2006) Vol. 26, No. 11, pp.1255-75.
-
”Management
of
Technology: Themes, Concepts and Relationships,” with Thorsten
Teichert, Technovation,
(2006) Vol. 26, No. 3, pp. 288-299.
- “The
Electric
Vehicle: Patent data as Indicators of Technological Development”,
(2002) World
Patent Information, Vol. 24, No.1, pp.5-12.
- “Is
Production
and Operations Management a Discipline? A Citation/Co-citation Study”,
with
C.Liston-Heyes, International Journal of Operations and Production
Management, (1999) Vol. 19, No. 1, pp. 7-20.
- “Conceptualizing the Management of Technology,” in D. Bennett, B. Clegg, A. Greasley and P. Albores, (eds.) Technology and Global Integration, Aston Business School, Birmingham, (2006) pp. 569-576.
- "Technology
Commercialisation: Patent Portfolio Alignment and the Fuel Cell,” in
D.Kogaoglu
and T.Anderson (eds.) Technology Management for Reshaping the World,
Portland, (2003) pp.400-412.
- “Defining
Operations Management”, in P.Coughlan, A.Dromgoole and J.Peppard
(eds.), Operations
Management: Future Issues and Competitive Responses,
- A
Citation/Co-citation of Research Policy, with T. Teichert, Research Paper Series,
School of Management, Royal
Holloway, University of London, # SoM-0604, (2006) pp. 23.
- Key Inventors and Key Firms in Fuel Cell Development: A Patent Analysis, Research Paper Series, School of Management, Royal Holloway, University of London, # SoM-0605, (2006) pp. 17.
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