The Ranking Web and the “World-Class” Universities

New Webometric Indicators Based on G-Factor, Interlinking, and Web 2.0 Tools
  • Isidro F. Aguillo
  • Enrique Orduña-Malea
Part of the Global Perspectives on Higher Education book series (GPHE, volume 25)

Abstract

The purpose of this paper is to discuss the new developments in the methodology used for building the Ranking Web of Universities, also called the Webometrics Ranking (WebR) . Contrary to other rankings that ignore caveats and shortcomings in order to maintain inter-year stability, the WebR ranking is evolving for improving the reliability of sources, the descriptive power of the quantitative indicators and the justification of unexpected or discrepant results. The paper intends to show that the WebR ranking offers not only a far larger coverage, including universities in emerging and developing countries, but an evaluation model that takes into account all the academic missions as a whole. The current emphasis on so-called world-class universities, basically research intensive institutions, offers a very narrow overview of the performance and impact of the academic systems of many countries.

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References

  1. Aguillo, I. F. (1998, December 8–10). STM Information on the web and the development of new Internet R&D databases and indicators. In D. I. Raitt (Ed.), Online Information 98: 22nd International Online Information Meeting: Proceedings (pp. 239–243). London.Google Scholar
  2. Aguillo, I. F., Granadino, B., Ortega, J. L., & Prieto, J. A. (2006). Scientific research activity and communication measured with cybermetric indicators. Journal of the American Society of Information Science & Technology, 57(10), 1296–1302.CrossRefGoogle Scholar
  3. Aguillo, I. F., Ortega, J. L., & Fernández, M. (2008). Webometric ranking of World Universities: Introduction, methodology, and future developments. Higher Education in Europe, 33(2/3), 234– 244.Google Scholar
  4. Aguillo, I. F., Bar-Ilan, J., Levene, M., & Ortega, J. L. (2010). Comparing university rankings. Scientometrics, 85(1), 243–256.CrossRefGoogle Scholar
  5. Orduña-Malea, E. (2011). Asimetría en la conexión académica online entre Sudamérica y Europa a través de un análisis de enlaces (2011). In XV Congreso de la FIEALC. Valencia (Spain).Google Scholar
  6. Thelwall, M., & Stuart, D. (2006). Web crawling ethics revisited: Cost, privacy and denial of service. Journal of the American Society for Information Science and Technology, 57(13), 1771–1779.CrossRefGoogle Scholar
  7. Thelwall, M., & Sud, P. (2011). A comparison of methods for collecting web citation data for academic organizations. Journal of the American Society for Information Science and Technology, 62(8), 1488–1497.CrossRefGoogle Scholar

Copyright information

© Sense Publishers 2013

Authors and Affiliations

  • Isidro F. Aguillo
    • 1
  • Enrique Orduña-Malea
    • 2
  1. 1.The Cybermetrics LabSpanish National Research Council (CSIC)Spain
  2. 2.Institute of Design and Manufacturing (IDF)Polytechnic University of Valencia (UPV)ValenciaSpain

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