IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v86y2011i1d10.1007_s11192-010-0241-5.html
   My bibliography  Save this article

A made-to-measure indicator for cross-disciplinary bibliometric ranking of researchers performance

Author

Listed:
  • João Claro

    (Universidade do Porto)

  • Carlos A. V. Costa

    (Universidade do Porto)

Abstract

This paper presents and discusses a new bibliometric indicator of research performance, designed with the fundamental concern of enabling cross-disciplinary comparisons. The indicator, called x-index, compares a researcher’s output to a reference set of research output from top researchers, identified in the journals where the researcher has published. It reflects publication quantity and quality, uses a moderately sized data set, and works with a more refined definition of scientific fields. x-index was developed to rank researchers in a scientific excellence award in the Faculty of Engineering of the University of Porto. The data set collected for the 2009 edition of the award is used to study the indicator’s features and design choices, and provides the basis for a discussion of its advantages and limitations.

Suggested Citation

  • João Claro & Carlos A. V. Costa, 2011. "A made-to-measure indicator for cross-disciplinary bibliometric ranking of researchers performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 113-123, January.
    • Handle: RePEc:spr:scient:v:86:y:2011:i:1:d:10.1007_s11192-010-0241-5
    DOI: 10.1007/s11192-010-0241-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-010-0241-5
    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/s11192-010-0241-5?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. Sune Lehmann & Andrew D. Jackson & Benny E. Lautrup, 2006. "Measures for measures," Nature, Nature, vol. 444(7122), pages 1003-1004, December.
    2. Alireza Abbasi & Jorn Altmann & Junseok Hwang, 2009. "Evaluating Scholars Based on their Academic Collaboration Activities: The RC-Index and CC-Index for Quantifying Collaboration Activities of Researchers and Scientific Communities," TEMEP Discussion Papers 200915, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2009.
    3. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    4. Anton J. Nederhof, 2008. "Policy impact of bibliometric rankings of research performance of departments and individuals in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 163-174, January.
    5. Lundberg, Jonas, 2007. "Lifting the crown—citation z-score," Journal of Informetrics, Elsevier, vol. 1(2), pages 145-154.
    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. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2020. "Prolificacy and visibility versus reputation in the hard sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 207-221, April.
    2. Lorna Wildgaard & Jesper W. Schneider & Birger Larsen, 2014. "A review of the characteristics of 108 author-level bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 125-158, October.
    3. Edgar D. Zanotto & Vinicius Carvalho, 2021. "Article age- and field-normalized tools to evaluate scientific impact and momentum," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2865-2883, April.
    4. Tolga Yuret, 2015. "Interfield comparison of academic output by using department level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1653-1664, December.
    5. 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.

    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. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    2. Kaur, Jasleen & Radicchi, Filippo & Menczer, Filippo, 2013. "Universality of scholarly impact metrics," Journal of Informetrics, Elsevier, vol. 7(4), pages 924-932.
    3. Alireza Abbasi & Jorn Altmann, 2010. "On the Correlation between Research Performance and Social Network Analysis Measures Applied to Research Collaboration Networks," TEMEP Discussion Papers 201066, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2010.
    4. Karol Flores-Szwagrzak & Rafael Treibich, 2020. "Teamwork and Individual Productivity," Management Science, INFORMS, vol. 66(6), pages 2523-2544, June.
    5. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The Hirsch spectrum: A novel tool for analyzing scientific journals," Journal of Informetrics, Elsevier, vol. 4(1), pages 64-73.
    6. R. Álvarez & E. Cahué & J. Clemente-Gallardo & A. Ferrer & D. Íñiguez & X. Mellado & A. Rivero & G. Ruiz & F. Sanz & E. Serrano & A. Tarancón & Y. Vergara, 2015. "Analysis of academic productivity based on Complex Networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 651-672, September.
    7. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2013. "Cross-field evaluation of publications of research institutes using their contributions to the fields’ MVPs determined by h-index," Journal of Informetrics, Elsevier, vol. 7(2), pages 455-468.
    8. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    9. van Eck, Nees Jan & Waltman, Ludo, 2008. "Generalizing the h- and g-indices," Journal of Informetrics, Elsevier, vol. 2(4), pages 263-271.
    10. Frank Havemann & Birger Larsen, 2015. "Bibliometric indicators of young authors in astrophysics: Can later stars be predicted?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1413-1434, February.
    11. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2013. "The impact of unproductive and top researchers on overall university research performance," Journal of Informetrics, Elsevier, vol. 7(1), pages 166-175.
    12. van Eck, N.J.P. & Waltman, L., 2008. "Generalizing the h- and g-indices," ERIM Report Series Research in Management ERS-2008-049-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Zhi Li & Qinke Peng & Che Liu, 2016. "Two citation-based indicators to measure latent referential value of papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1299-1313, September.
    14. Radicchi, Filippo & Castellano, Claudio, 2012. "Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts," Journal of Informetrics, Elsevier, vol. 6(1), pages 121-130.
    15. Ruijie Wang & Yuhao Zhou & An Zeng, 2023. "Evaluating scientists by citation and disruption of their representative works," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1689-1710, March.
    16. Guillermo Armando Ronda-Pupo & Carlos Díaz-Contreras & Guillermo Ronda-Velázquez & Jorge Carlos Ronda-Pupo, 2015. "The role of academic collaboration in the impact of Latin-American research on management," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1435-1454, February.
    17. Asma Hammami & Nabil Semmar, 2022. "The simplex simulation as a tool to reveal publication strategies and citation factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 319-350, January.
    18. Giovanni Abramo & Ciriaco Andrea D’Angelo & Fulvio Viel, 2013. "The suitability of h and g indexes for measuring the research performance of institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 555-570, December.
    19. John Panaretos & Chrisovaladis Malesios, 2009. "Assessing scientific research performance and impact with single indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 635-670, December.
    20. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Rosati, Francesco, 2013. "The importance of accounting for the number of co-authors and their order when assessing research performance at the individual level in the life sciences," Journal of Informetrics, Elsevier, vol. 7(1), pages 198-208.

    More about this item

    Keywords

    Bibliometric indicators; Research performance; Cross-disciplinarity; Rankings;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

    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:spr:scient:v:86:y:2011:i:1:d:10.1007_s11192-010-0241-5. 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.