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A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ 2 A index

Author

Listed:
  • Daniel Torres-Salinas

    (Universidad de Navarra)

  • Jose G. Moreno-Torres

    (Universidad de Granada)

  • Emilio Delgado-López-Cózar

    (Universidad de Granada)

  • Francisco Herrera

    (Universidad de Granada)

Abstract

The problem of comparing academic institutions in terms of their research production is nowadays a priority issue. This paper proposes a relative bidimensional index that takes into account both the net production and the quality of it, as an attempt to provide a comprehensive and objective way to compare the research output of different institutions in a specific field, using journal contributions and citations. The proposed index is then applied, as a case study, to rank the top Spanish universities in the fields of Chemistry and Computer Science in the period ranging from 2000 until 2009. A comparison with the top 50 universities in the ARWU rankings is also made, showing the proposed ranking is better suited to distinguish among non-elite universities.

Suggested Citation

  • Daniel Torres-Salinas & Jose G. Moreno-Torres & Emilio Delgado-López-Cózar & Francisco Herrera, 2011. "A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ 2 A index," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 771-786, September.
    • Handle: RePEc:spr:scient:v:88:y:2011:i:3:d:10.1007_s11192-011-0418-6
    DOI: 10.1007/s11192-011-0418-6
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    1. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia & Nicolas Robinson-García & Daniel Torres-Salinas, 2013. "Benchmarking research performance at the university level with information theoretic measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 435-452, April.
    2. M. M. Segovia-González & I. Contreras, 2023. "A Composite Indicator to Compare the Performance of Male and Female Students in Educational Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 181-212, January.
    3. 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.
    4. 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.
    5. El Gibari, Samira & Gómez, Trinidad & Ruiz, Francisco, 2018. "Evaluating university performance using reference point based composite indicators," Journal of Informetrics, Elsevier, vol. 12(4), pages 1235-1250.
    6. Hiran H. Lathabai & Abhirup Nandy & Vivek Kumar Singh, 2021. "x-index: Identifying core competency and thematic research strengths of institutions using an NLP and network based ranking framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9557-9583, December.
    7. Nicolás Robinson-García & Daniel Torres-Salinas & Emilio Delgado López-Cózar & Francisco Herrera, 2014. "An insight into the importance of national university rankings in an international context: the case of the I-UGR rankings of Spanish universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1309-1324, November.
    8. Nicolás Robinson-García & Clara Calero-Medina, 2014. "What do university rankings by fields rank? Exploring discrepancies between the organizational structure of universities and bibliometric classifications," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1955-1970, March.
    9. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2022. "Combining reference point based composite indicators with data envelopment analysis: application to the assessment of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4363-4395, August.
    10. Alfonso Ibáñez & Pedro Larrañaga & Concha Bielza, 2013. "Cluster methods for assessing research performance: exploring Spanish computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 571-600, December.
    11. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia & Daniel Torres-Salinas & Francisco Herrera, 2012. "Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1081-1099, December.
    12. Elio Atenógenes Villaseñor & Ricardo Arencibia-Jorge & Humberto Carrillo-Calvet, 2017. "Multiparametric characterization of scientometric performance profiles assisted by neural networks: a study of Mexican higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 77-104, January.
    13. Samira El Gibari & Carmen Perez-Esparrells & Trinidad Gomez & Francisco Ruiz, 2021. "Analyzing the Impact of Spanish University Funding Policies on the Evolution of Their Performance: A Multi-Criteria Approach," Mathematics, MDPI, vol. 9(14), pages 1-34, July.
    14. Calabrese, Armando & Capece, Guendalina & Costa, Roberta & Di Pillo, Francesca & Giuffrida, Stefania, 2018. "A ‘power law’ based method to reduce size-related bias in indicators of knowledge performance: An application to university research assessment," Journal of Informetrics, Elsevier, vol. 12(4), pages 1263-1281.

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