IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0092.html
   My bibliography  Save this article

Analysis of two main university rankings

Author

Listed:
  • Alexander Varshavsky

    (CEMI RAS, Moscow)

  • Tatiana Komkina

    (CEMI RAS, Moscow)

Abstract

The study of the indicators used in THE–QS and ARWU 500 rankings is elaborated and the relationships between them are determined using regression models. The necessity of a critical attitude to the results of ratings of universities is shown.

Suggested Citation

  • Alexander Varshavsky & Tatiana Komkina, 2011. "Analysis of two main university rankings," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 23(3), pages 57-78.
    • Handle: RePEc:ris:apltrx:0092
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2011_3_57-78.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. A. Varshavsky., 2011. "Problems of Science and Its Effectiveness," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 1.
    2. Anthony F. J. van Raan, 2005. "Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(1), pages 133-143, January.
    3. Fred L. Bookstein & Horst Seidler & Martin Fieder & Georg Winckler, 2010. "Too much noise in the Times Higher Education rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 295-299, October.
    Full references (including those not matched with items on IDEAS)

    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. Vicente Safón, 2019. "Inter-ranking reputational effects: an analysis of the Academic Ranking of World Universities (ARWU) and the Times Higher Education World University Rankings (THE) reputational relationship," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 897-915, November.
    2. Kuang-hua Chen & Pei-yu Liao, 2012. "A comparative study on world university rankings: a bibliometric survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 89-103, July.
    3. Alan Peter Matthews, 2012. "South African universities in world rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 675-695, September.
    4. Rabishankar Giri & Sabuj Kumar Chaudhuri, 2021. "Ranking journals through the lens of active visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2189-2208, March.
    5. Lin, Chi-Shiou & Huang, Mu-Hsuan & Chen, Dar-Zen, 2013. "The influences of counting methods on university rankings based on paper count and citation count," Journal of Informetrics, Elsevier, vol. 7(3), pages 611-621.
    6. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
    7. Christoph Neuhaus & Andreas Litscher & Hans-Dieter Daniel, 2007. "Using scripts to streamline citation analysis on STN International," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 145-150, April.
    8. Leonardo Reyes-Gonzalez & Claudia N. Gonzalez-Brambila & Francisco Veloso, 2016. "Using co-authorship and citation analysis to identify research groups: a new way to assess performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1171-1191, September.
    9. Osmo Kivinen & Juha Hedman, 2008. "World-wide university rankings: A Scandinavian approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(3), pages 391-408, March.
    10. Feng Li & Yong Yi & Xiaolong Guo & Wei Qi, 2012. "Performance evaluation of research universities in Mainland China, Hong Kong and Taiwan: based on a two-dimensional approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 531-542, February.
    11. Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2010. "National research assessment exercises: a measure of the distortion of performance rankings when labor input is treated as uniform," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 605-619, September.
    12. Shuiqing Huang & Bo Yang & Sulan Yan & Ronald Rousseau, 2014. "Institution name disambiguation for research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 823-838, June.
    13. Javier Ruiz-Castillo, 2012. "The evaluation of citation distributions," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(1), pages 291-310, March.
    14. Balatsky, Ye., 2014. "Syndrome of Reforms' Arrhythmia in the Higher Education," Journal of the New Economic Association, New Economic Association, vol. 24(4), pages 111-140.
    15. Daraio, Cinzia & Bonaccorsi, Andrea & Geuna, Aldo & Lepori, Benedetto & Bach, Laurent & Bogetoft, Peter & F. Cardoso, Margarida & Castro-Martinez, Elena & Crespi, Gustavo & de Lucio, Ignacio Fernandez, 2011. "The European university landscape: A micro characterization based on evidence from the Aquameth project," Research Policy, Elsevier, vol. 40(1), pages 148-164, February.
    16. 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.
    17. Margit Osterloh & Bruno S. Frey, 2009. "Research Governance in Academia: Are there Alternatives to Academic Rankings?," CREMA Working Paper Series 2009-17, Center for Research in Economics, Management and the Arts (CREMA).
    18. 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.
    19. Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2011. "The relationship between scientists’ research performance and the degree of internationalization of their research," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 629-643, March.
    20. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

    Statistics

    Access and download statistics

    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:ris:apltrx:0092. 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: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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.