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International Conference on Data Mining and Big Data

DMBD 2018: Data Mining and Big Data pp 188–199Cite as

Analysis of Patterns in the University World Rankings Webometrics, Shanghai, QS and SIR-SCimago: Case Latin America

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10943))

Abstract

The internationalization and positioning of universities offers relative comparisons, studied according to different teaching and research criteria. Among the recognized rankings are the Academic Ranking of World Universities (ARWU) or Ranking of Shanghai, QS World University Ranking, SCimago Institutions Rankings SIR and the Web Ranking of Universities-Webometrics. Comparatively, characteristics of each one are presented in terms of scope, volume of universities positioned and evaluation criteria. The indicators associated with research and institutional capacity stand out as common criteria in the revised evaluation methodologies. Regarding Latin America, Brazil leads with its presence in the four rankings. There is a greater number of Latin American universities in QS (40%) and Webometrics (31%), in the other two rankings it does not exceed 8%.

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Author information

Authors and Affiliations

  1. Universidad Centroccidental Lisandro Alvarado, Barquisimeto, Venezuela

    Maritza Torres-Samuel

  2. Universidad Nacional Experimental Politécnica “Antonio José de Sucre”, Barquisimeto, Venezuela

    Carmen Luisa Vásquez

  3. Universidad de la Costa, Barranquilla, Colombia

    Amelec Viloria, Noel Varela, Lissette Hernández-Fernandez & Rafael Portillo-Medina

Authors
  1. Maritza Torres-Samuel
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  2. Carmen Luisa Vásquez
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  3. Amelec Viloria
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  4. Noel Varela
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  5. Lissette Hernández-Fernandez
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  6. Rafael Portillo-Medina
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Corresponding author

Correspondence to Maritza Torres-Samuel .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  3. Tongji University, Shanghai, China

    Qirong Tang

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Torres-Samuel, M., Vásquez, C.L., Viloria, A., Varela, N., Hernández-Fernandez, L., Portillo-Medina, R. (2018). Analysis of Patterns in the University World Rankings Webometrics, Shanghai, QS and SIR-SCimago: Case Latin America. In: Tan, Y., Shi, Y., Tang, Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science(), vol 10943. Springer, Cham. https://doi.org/10.1007/978-3-319-93803-5_18

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  • DOI: https://doi.org/10.1007/978-3-319-93803-5_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93802-8

  • Online ISBN: 978-3-319-93803-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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