Mapping Academic Institutions According to Their Journal Publication Profile: Spanish Universities as a Case Study

We introduce a novel methodology for mapping academic institutions based on their journal publication profiles. We believe that journals in which researchers from academic institutions publish their works can be considered as useful identifiers for representing the relationships between these institutions and establishing comparisons. However, when academic journals are used for research output representation, distinctions must be introduced between them, based on their value as institution descriptors. This leads us to the use of journal weights attached to the institution identifiers. Since a journal in which researchers from a large proportion of institutions published their papers may be a bad indicator of similarity between two academic institutions, it seems reasonable to weight it in accordance with how frequently researchers from different institutions published their papers in this journal. Cluster analysis can then be applied to group the academic institutions, and dendrograms can be provided to illustrate groups of institutions following agglomerative hierarchical clustering. In order to test this methodology, we use a sample of Spanish universities as a case study. We first map the study sample according to an institution's overall research output, then we use it for two scientific fields (Information and Communication Technologies, as well as Medicine and Pharmacology) as a means to demonstrate how our methodology can be applied, not only for analyzing institutions as a whole, but also in different disciplinary contexts. © 2012 Wiley Periodicals, Inc.

[1]  Félix de Moya Anegón,et al.  Visualizing the marrow of science , 2007, J. Assoc. Inf. Sci. Technol..

[2]  Kevin W. Boyack,et al.  Toward a consensus map of science , 2009 .

[3]  Francis Narin,et al.  Interrelationships of scientific journals , 1972, J. Am. Soc. Inf. Sci..

[4]  Alan L. Porter,et al.  Science overlay maps: A new tool for research policy and library management , 2009, J. Assoc. Inf. Sci. Technol..

[5]  Wiley Interscience.  Journal of the American Society for Information Science and Technology , 2013 .

[6]  Daniel Torres-Salinas.  Evaluación bibliométrica de universidades con Scival de Elsevier , 2009 .

[7]  Loet Leydesdorff,et al.  Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes , 2010, J. Assoc. Inf. Sci. Technol..

[8]  Ellen Hazelkorn,et al.  Rankings and the Reshaping of Higher Education , 2011 .

[9]  Per Ahlgren,et al.  Document-document similarity approaches and science mapping: Experimental comparison of five approaches , 2009, J. Informetrics.

[10]  Victor Herrero,et al.  A new technique for building maps of large scientific domains based on the cocitation of classes and categories , 2004 .

[11]  Zaida Chinchilla-Rodríguez,et al.  Visualizing the marrow of science , 2007 .

[12]  Henk F. Moed,et al.  Combining Mapping and Citation Analysis for Evaluative Bibliometric Purposes: A Bibliometric Study , 1999, J. Am. Soc. Inf. Sci..

[13]  E. Garfield,et al.  The geography of science: disciplinary and national mappings , 1985 .

[14]  Emilio Delgado López-Cózar.  Rankings ISI de las universidades españolas según campos y disciplinas científicas (2ª ed. 2011) , 2011 .

[15]  Henk F. Moed,et al.  Is concentration of university research associated with better research performance? , 2011, J. Informetrics.

[16]  Engr Muhammad Ismail.  RANKING OF UNIVERSITIES , 2008 .

[17]  Satoru Kawai,et al.  A simple method for computing general position in displaying three-dimensional objects , 1988, Comput. Vis. Graph. Image Process..

[18]  Gerard Salton,et al.  Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..

[19]  E. Hazelkorn.  Rankings and the Reshaping of Higher Education: The Battle for World-Class Excellence , 2011 .

[20]  B. Everitt,et al.  Cluster Analysis: Low Temperatures and Voting in Congress , 2001 .

[21]  蕭如容.  HEEACT releases “2009 Performance Ranking of Scientific Papers for World Universities” , 2009 .

[22]  Markus Gmür,et al.  Co-citation analysis and the search for invisible colleges: A methodological evaluation , 2004, Scientometrics.

[23]  Donald F. Westerheijden,et al.  Rankings and Classifications: The Need for a Multidimensional Approach , 2009 .

[24]  Jung Cheol Shin,et al.  Classifying higher education institutions in Korea: a performance-based approach , 2009 .

[25]  魏屹东,et al.  Scientometrics , 2018, Encyclopedia of Big Data.

[26]  Henk F. Moed,et al.  A ranking of universities should account for differences in their disciplinary specialization , 2011, Scientometrics.

[27]  Isabel Gómez,et al.  Structure and research performance of Spanish universities , 2009, Scientometrics.

[28]  B. C. Griffith,et al.  The Structure of Scientific Literatures II: Toward a Macro- and Microstructure for Science , 1974 .

[29]  Ismael Rafols,et al.  A global map of science based on the ISI subject categories , 2009 .

[30]  A. V. van Raan,et al.  Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods , 2005 .

[31]  C. M. Noyons.  Science Maps Within a Science Policy Context , 2004 .

[32]  José Luis Ortega,et al.  Maps of the academic web in the European Higher Education Area — an exploration of visual web indicators , 2007, Scientometrics.

[33]  Anthony F. J. van Raan,et al.  Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods , 2005, Scientometrics.

[34]  Liu Qion.  Characteristics of the presidents of world-class universities in the US:a study of the top 20universities of ARWU issued by Shanghai Jiao Tong University in 2011 , 2012 .

[35]  Emilio Delgado López-Cózar.  Rankings ISI de las universidades españolas según campos científicos: descripción y resultados , 2011 .

[36]  H. Koshimizua,et al.  Global Map , 2020 .

[37]  Ismael Rafols,et al.  A global map of science based on the ISI subject categories , 2009, J. Assoc. Inf. Sci. Technol..

[38]  Brian Everitt,et al.  Cluster analysis , 1974 .

[39]  Francisco Herrera,et al.  Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study , 2012, Scientometrics.

[40]  Henry Small.  Visualizing science by citation mapping , 1999 .

[41]  Henry G. Small,et al.  Visualizing Science by Citation Mapping , 1999, J. Am. Soc. Inf. Sci..

[42]  Rosa Rodriguez-Sánchez,et al.  On first quartile journals which are not of highest impact , 2011, Scientometrics.

[43]  Xiaojun Yuan,et al.  Visualizing and mapping the intellectual structure of information retrieval , 2012, Inf. Process. Manag..

[44]  Per Ahlgren,et al.  Experimental comparison of first and second-order similarities in a scientometric context , 2011, Scientometrics.

[45]  Francisco Herrera,et al.  A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ2A index , 2011, Scientometrics.