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Structure and research performance of Spanish universities

Author

Listed:
  • Isabel Gómez

    (Spanish National Research Council (CSIC))

  • María Bordons

    (Spanish National Research Council (CSIC))

  • M. Teresa Fernández

    (Spanish National Research Council (CSIC))

  • Fernanda Morillo

    (Spanish National Research Council (CSIC))

Abstract

The aim of this paper is to describe Spanish universities by means of structural, input and output indicators, to explore the relationship between those indicators and to analyse university behaviour in different dimensions. Seniority of the universities and environmental conditions are taken into account, together with input and output indicators, as well as others related to the networks and links established. Our results will contribute to the knowledge of the university research system in Spain, producing data that could be useful for research management at the institutional, regional and national level.

Suggested Citation

  • Isabel Gómez & María Bordons & M. Teresa Fernández & Fernanda Morillo, 2009. "Structure and research performance of Spanish universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 131-146, April.
  • Handle: RePEc:spr:scient:v:79:y:2009:i:1:d:10.1007_s11192-009-0408-0
    DOI: 10.1007/s11192-009-0408-0
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    References listed on IDEAS

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    1. Anthony F.J. van Raan, 2008. "Bibliometric statistical properties of the 100 largest European research universities: Prevalent scaling rules in the science system," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(3), pages 461-475, February.
    2. Allan D. Pratt, 1977. "A measure of class concentration in bibliometrics," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 28(5), pages 285-292, September.
    3. Loet Leydesdorff & Martin Meyer, 2003. "The Triple Helix of university-industry-government relations," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 191-203, October.
    4. Ying Cheng & Nian Cai Liu, 2006. "A first approach to the classification of the top 500 world universities by their disciplinary characteristics using scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 135-150, July.
    5. Michel Zitt & Suzy Ramanana-Rahary & Elise Bassecoulard & Françoise Laville, 2003. "Potential science-technology spillovers in regions: An insight on geographic co-location of knowledge activities in the EU," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 295-320, June.
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    Cited by:

    1. Leahey, Erin & Barringer, Sondra N., 2020. "Universities’ commitment to interdisciplinary research: To what end?," Research Policy, Elsevier, vol. 49(2).
    2. Sumeer Gul & Nahida Tun Nisa & Tariq Ahmad Shah & Sangita Gupta & Asifa Jan & Suhail Ahmad, 2015. "Middle East: research productivity and performance across nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1157-1166, November.
    3. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2011. "A national-scale cross-time analysis of university research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 399-413, May.
    4. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2011. "National research assessment exercises: the effects of changing the rules of the game during the game," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 229-238, July.
    5. ROMERO, Julia & PASTOR, José M., 2012. "Las Universidades Españolas Bajo La Influencia De Los Rankings," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(3).
    6. Vicente Safón, 2013. "What do global university rankings really measure? The search for the X factor and the X entity," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 223-244, November.
    7. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.
    8. Maddi Garmendia & José M. Coronado & José M. Ureña, 2012. "University Students Sharing Flats: When Studentification Becomes Vertical," Urban Studies, Urban Studies Journal Limited, vol. 49(12), pages 2651-2668, September.
    9. Cruz-Castro, Laura & Sanz-Menendez, Luis, 2021. "What should be rewarded? Gender and evaluation criteria for tenure and promotion," Journal of Informetrics, Elsevier, vol. 15(3).

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