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A structural analysis of publication profiles for the classification of European research institutes

Author

Listed:
  • Bart Thijs

    (KU Leuven)

  • Wolfgang Glänzel

    (KU Leuven
    Institute for Research Policy Studies)

Abstract

In the present study we propose a solution for a common problem in benchmarking tasks at institutional level. The usage of bibliometric indicators, even after standardisation, cannot disguise that comparing institutes remains often like comparing apples with pears. We developed a model to assign institutes to one of 8 different groups based on their research profile. Each group has a different focus: 1. Biology, 2. Agricultural Sciences, 3. Multidisciplinary, 4. Geo & Space Sciences, 5. Technical and natural Sciences, 6. Chemistry, 7. General and Research Medicine, 8. Specialised Medicine. Two applications of this methodology are described. In the first application we compare the composition of clusters at national level with the national research profiles. This gives a deeper insight in the national research landscape. In a second application we look at the dynamics of institutes by comparing their subject clustering at two different points in time.

Suggested Citation

  • Bart Thijs & Wolfgang Glänzel, 2008. "A structural analysis of publication profiles for the classification of European research institutes," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 223-236, February.
    • Handle: RePEc:spr:scient:v:74:y:2008:i:2:d:10.1007_s11192-008-0214-0
    DOI: 10.1007/s11192-008-0214-0
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    References listed on IDEAS

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    1. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
    2. Bart Thijs & Wolfgang Glänzel, 2006. "The influence of author self-citations on bibliometric meso-indicators. The case of european universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 71-80, January.
    3. Jacqueline Leta & Wolfgang Glänzel & Bart Thijs, 2006. "Science in Brazil. Part 2: Sectoral and institutional research profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(1), pages 87-105, April.
    4. Wolfgang Glänzel & András Schubert, 2003. "A new classification scheme of science fields and subfields designed for scientometric evaluation purposes," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 357-367, March.
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    Citations

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    Cited by:

    1. Wolfgang Glänzel & Bart Thijs & András Schubert & Koenraad Debackere, 2009. "Subfield-specific normalized relative indicators and a new generation of relational charts: Methodological foundations illustrated on the assessment of institutional research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 165-188, January.
    2. Rene Belderbos & Vincent Van Roy & Bart Leten & Bart Thijs, 2014. "Academic Research Strengths and Multinational Firms' Foreign R&D Location Decisions: Evidence from R&D Investments in European Regions," Environment and Planning A, , vol. 46(4), pages 920-942, April.
    3. Bart Thijs & Wolfgang Glänzela, 2009. "A structural analysis of benchmarks on different bibliometrical indicators for European research institutes based on their research profile," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 377-388, May.
    4. Elmira Janavi & Mohammad Javad Mansourzadeh & Mojgan Samandar Ali Eshtehardi, 2020. "A methodology for developing scientific diversification strategy of countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2229-2264, December.
    5. José Luis Ortega & Isidro F. Aguillo, 2010. "Describing national science and technology systems through a multivariate approach: country participation in the 6th Framework Programmes," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 321-330, August.
    6. Mario Coccia & Greta Falavigna & Alessandro Manello, 2015. "The impact of hybrid public and market-oriented financing mechanisms on the scientific portfolio and performances of public research labs: a scientometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 151-168, January.
    7. Mickael Benaim & Jean-Alain Héraud & Valérie Mérindol, 2016. "Scientific connectivity of European regions: towards a typology of cooperative schemes," Journal of Innovation Economics, De Boeck Université, vol. 0(3), pages 155-176.
    8. Guo Chen & Lu Xiao & Chang-ping Hu & Xue-qin Zhao, 2015. "Identifying the research focus of Library and Information Science institutions in China with institution-specific keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 707-724, May.
    9. Fernanda Morillo & Ignacio Santabárbara & Javier Aparicio, 2013. "The automatic normalisation challenge: detailed addresses identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 953-966, June.
    10. Claudia N. Gonzalez Brambila & Renata Herrerias, 2024. "Assessing the impact of collaborative authorship in Business Economics in Latin America," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4623-4660, July.

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