IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v90y2012i2d10.1007_s11192-011-0490-y.html
   My bibliography  Save this article

Adjusted sum of institutional scores as an indicator of the presence of university systems in the ARWU ranking

Author

Listed:
  • Domingo Docampo

    (Universidad de Vigo)

Abstract

In this article I introduce a new indicator that measures the presence of a higher education system in the Shanghai Jiao Tong Academic Ranking of World Universities (ARWU). First, the benefits of introducing such a measure and the drawbacks associated with the possible choices of the indicator are discussed. To analyze the drawbacks, the sample of countries with presence in ARWU is split into two groups of small and large world’s GDP share. A raw indicator based upon the sum of the scores of all the universities from a country divided by its world’s GDP share shows a noticeable bias in favor of small countries, so a one-way between-groups analysis of variance is conducted to help in canceling the bias. That leads to the introduction of a new aggregate indicator that can be computed in a very simple fashion. A discussion of the performance of higher education systems using this new indicator closes the paper.

Suggested Citation

  • Domingo Docampo, 2012. "Adjusted sum of institutional scores as an indicator of the presence of university systems in the ARWU ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 701-713, February.
    • Handle: RePEc:spr:scient:v:90:y:2012:i:2:d:10.1007_s11192-011-0490-y
    DOI: 10.1007/s11192-011-0490-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-011-0490-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-011-0490-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Catherine Dehon & Alice McCathie & Vincenzo Verardi, 2010. "Uncovering excellence in academic rankings: a closer look at the Shanghai ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 515-524, May.
    2. Domingo Docampo, 2011. "On using the Shanghai ranking to assess the research performance of university systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 77-92, January.
    3. Domingo Docampo, 2011. "Erratum to: On using the Shanghai ranking to assess the research performance of university systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 237-237, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Teodoro Luque-Martínez & Salvador Barrio-García, 2016. "Constructing a synthetic indicator of research activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1049-1064, September.
    2. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    3. Bonaccorsi, Andrea & Cicero, Tindaro, 2016. "Nondeterministic ranking of university departments," Journal of Informetrics, Elsevier, vol. 10(1), pages 224-237.
    4. Milica Jovanovic & Veljko Jeremic & Gordana Savic & Milica Bulajic & Milan Martic, 2012. "How does the normalization of data affect the ARWU ranking?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 319-327, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    2. Veljko Jeremic & Milica Bulajic & Milan Martic & Zoran Radojicic, 2011. "A fresh approach to evaluating the academic ranking of world universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 587-596, June.
    3. Massucci, Francesco Alessandro & Docampo, Domingo, 2019. "Measuring the academic reputation through citation networks via PageRank," Journal of Informetrics, Elsevier, vol. 13(1), pages 185-201.
    4. Domingo Docampo, 2013. "Reproducibility of the Shanghai academic ranking of world universities results," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 567-587, February.
    5. Milica Jovanovic & Veljko Jeremic & Gordana Savic & Milica Bulajic & Milan Martic, 2012. "How does the normalization of data affect the ARWU ranking?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 319-327, November.
    6. Domingo Docampo & Lawrence Cram, 2015. "On the effects of institutional size in university classifications: the case of the Shanghai ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1325-1346, February.
    7. Domingo Docampo & Lawrence Cram, 2014. "On the internal dynamics of the Shanghai ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1347-1366, February.
    8. Antonio Fernández-Cano & Elvira Curiel-Marin & Manuel Torralbo-Rodríguez & Mónica Vallejo-Ruiz, 2018. "Questioning the Shanghai Ranking methodology as a tool for the evaluation of universities: an integrative review," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2069-2083, September.
    9. Gnewuch, Matthias & Wohlrabe, Klaus, 2018. "Super-efficiency of education institutions: an application to economics departments," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 26, pages 610-623.
    10. Avenali, Alessandro & Daraio, Cinzia & Di Leo, Simone & Wolszczak-Derlacz, Joanna, 2024. "Heterogeneity of national accounting systems, world-class universities and financial resources: What are the links?," Journal of Informetrics, Elsevier, vol. 18(2).
    11. Teodoro Luque-Martínez & Salvador Barrio-García, 2016. "Constructing a synthetic indicator of research activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1049-1064, September.
    12. Osmo Kivinen & Juha Hedman & Kalle Artukka, 2017. "Scientific publishing and global university rankings. How well are top publishing universities recognized?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 679-695, July.
    13. Olcay, Gokcen Arkali & Bulu, Melih, 2017. "Is measuring the knowledge creation of universities possible?: A review of university rankings," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 153-160.
    14. Chiang Kao & Shiang-Tai Liu & Hwei-Lan Pao, 2012. "Assessing improvement in management research in Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 75-87, July.
    15. Berlemann, Michael & Haucap, Justus, 2015. "Which factors drive the decision to opt out of individual research rankings? An empirical study of academic resistance to change," Research Policy, Elsevier, vol. 44(5), pages 1108-1115.
    16. Domingo Docampo & Lawrence Cram, 2017. "Academic performance and institutional resources: a cross-country analysis of research universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 739-764, February.
    17. 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.
    18. Lutz Bornmann & Alexander Butz & Klaus Wohlrabe, 2018. "What are the top five journals in economics? A new meta-ranking," Applied Economics, Taylor & Francis Journals, vol. 50(6), pages 659-675, February.
    19. Seiler, Christian & Wohlrabe, Klaus, 2012. "Ranking economists on the basis of many indicators: An alternative approach using RePEc data," Journal of Informetrics, Elsevier, vol. 6(3), pages 389-402.
    20. Pin-Hua Lin & Jong-Rong Chen & Chih-Hai Yang, 2014. "Academic research resources and academic quality: a cross-country analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 109-123, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:90:y:2012:i:2:d:10.1007_s11192-011-0490-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.