Worldwide Topology of the Scientific Subject Profile: A Macro Approach in the Country Level - final version
Anne-Wil Harzing
anne-wil at HARZING.COM
Thu Dec 12 18:35:46 EST 2013
Thanks Victor,
We just published a paper with a very similar theme in Journal of
Informetrics. It is available for free until the end of January through
this link:
*http://elsarticle.com/18ATXK0
<http://mail.elsevier-alerts.com/go.asp?/bESJ001/mCGPFMCF/qU7YOMCF/uKCD443F/xY34YNCF/cutf%2D8>*
The competitive advantage of nations: An application to academia
* Anne-Wil Harzing
<http://www.sciencedirect.com/science/article/pii/S1751157713000849#>^a
<http://www.sciencedirect.com/science/article/pii/S1751157713000849#aff0005>^,
* Axèle Giroud
<http://www.sciencedirect.com/science/article/pii/S1751157713000849#>^b
<http://www.sciencedirect.com/science/article/pii/S1751157713000849#aff0010>^,
^
* ^a University of Melbourne, Department of Management and Marketing,
Parkville Campus, Victoria 3010, Australia
* ^b Manchester Business School, Booth Street West, Manchester M15 6PB, UK
------------------------------------------------------------------------
Abstract
Within the field of bibliometrics, there is sustained interest in how
nations "compete" in terms of academic disciplines, and what
determinants explain why countries may have a specific advantage in one
discipline over another. However, this literature has not, to date,
presented a comprehensive structured model that could be used in the
interpretation of a country's research profile and academic output. In
this paper, we use frameworks from international business and economics
to present such a model.
Our study makes four major contributions. First, we include a very wide
range of countries and disciplines, explicitly including the Social
Sciences, which unfortunately are excluded in most bibliometrics
studies. Second, we apply theories of revealed comparative advantage and
the competitive advantage of nations to academic disciplines. Third, we
cluster our 34 countries into five different groups that have distinct
combinations of revealed comparative advantage in five major
disciplines. Finally, based on our empirical work and prior literature,
we present an academic diamond that details factors likely to explain a
country's research profile and competitiveness in certain disciplines.
Best wishes,
Anne-Wil*
The Publish or Perish Book:
Your guide to effective and responsible citation analysis*_
__http://www.harzing.com/popbook.htm_
*Prof. Anne-Wil Harzing*
Professor of International Management
Faculty of Business and Economics, University of Melbourne
website: www.harzing.com, email: anne at harzing.com
On 13/12/2013 10:08, Victor Herrero wrote:
> Adminstrative info for SIGMETRICS (for example unsubscribe):
> http://web.utk.edu/~gwhitney/sigmetrics.html
> Worldwide Topology of the Scientific Subject Profile: A Macro
> Approach in the Country Level
>
> Abstract
>
> Background
> Models for the production of knowledge and systems of innovation and
> science are key elements for characterizing a country in view of its
> scientific thematic profile. With regard to scientific output and
> publication in journals of international visibility, the countries of
> the world may be classified into three main groups according to their
> thematic bias.
>
> Methodology/Principal Findings
> This paper aims to classify the countries of the world in several
> broad groups, described in terms of behavioural models that attempt to
> sum up the characteristics of their systems of knowledge and
> innovation. We perceive three clusters in our analysis: 1) the
> biomedical cluster, 2) the basic science & engineering cluster, and 3)
> the agricultural cluster. The countries are conceptually associated
> with the clusters via Principal Component Analysis (PCA), and a
> Multidimensional Scaling (MDS) map with all the countries is presented.
>
> Conclusions/Significance
> As we have seen, insofar as scientific output and publication in
> journals of international visibility is concerned, the countries of
> the world may be classified into three main groups according to their
> thematic profile. These groups can be described in terms of behavioral
> models that attempt to sum up the characteristics of their systems of
> knowledge and innovation.
>
> Félix Moya-Anegón* & Víctor Herrero-Solana**
>
> * CSIC/CCHS/IPP, SCImago Group, Madrid, Spain
> ** University Granada, SCImago-UGR, Granada, Spain
>
> Published: December 09, 2013
> DOI: http://dx.doi.org/10.1371/journal.pone.0083222
>
> final version:
> http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0083222
>
>
> ** apologies for cross-postings
>
> -----------------------------------------------------------------------------
> Víctor Herrero-Solana
> victorhs at ugr.es <mailto:victorhs at ugr.es>
> www.ugr.es/~victorhs <http://www.ugr.es/%7Evictorhs>
> scholar.google.com/citations?user=OKIleUEAAAAJ
> <http://scholar.google.com/citations?user=OKIleUEAAAAJ>
> orcid.org/0000-0003-1142-5074 <http://orcid.org/0000-0003-1142-5074>
> -----------------------------------------------------------------------------
> SCImago-UGR
> Universidad de Granada
> www.scimagojr.com <http://www.scimagojr.com>
> www.scimagoir.com <http://www.scimagoir.com>
> www.scimagolab.com <http://www.scimagolab.com>
> -----------------------------------------------------------------------------
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