IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v10y2016i2p552-566.html
   My bibliography  Save this article

A theoretical evaluation of Hirsch-type bibliometric indicators confronted with extreme self-citation

Author

Listed:
  • Vîiu, Gabriel-Alexandru

Abstract

The paper investigates the theoretical response of h-type bibliometric indicators developed over the past decade when faced with the problem of manipulation through self-citation practices. An extreme self-citation scenario is used to test the theoretical resistance of the research performance metrics to strategic manipulation and to determine the magnitude of the impact that self-citations may induce on the indicators. The original h-index, eighteen selected variants, as well as traditional bibliometric indicators are considered. The results of the theoretical study indicate that while all indicators are vulnerable to manipulation, some of the h-index variants are more susceptible to the influence of strategic behavior than others: elite set indicators prove more resilient than the original h while other variants, including most of those directly derived from the h-index, are shown to be less robust. Variants that take into account time constraints prove to be especially useful for detecting potential manipulation. As a practical tool which may aid further studies, the article offers a collection of functions to compute the h-index and several of its variants in the R language and environment for statistical computing.

Suggested Citation

  • Vîiu, Gabriel-Alexandru, 2016. "A theoretical evaluation of Hirsch-type bibliometric indicators confronted with extreme self-citation," Journal of Informetrics, Elsevier, vol. 10(2), pages 552-566.
  • Handle: RePEc:eee:infome:v:10:y:2016:i:2:p:552-566
    DOI: 10.1016/j.joi.2016.04.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157716300542
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joi.2016.04.010?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. P. Pichappan & S. Sarasvady, 2002. "The other side of the coin: The intricacies of author self-citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 285-290, June.
    2. Lutz Bornmann & Rüdiger Mutz & Hans‐Dieter Daniel, 2008. "Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 830-837, March.
    3. Vinkler, Péter, 2013. "Would it be possible to increase the Hirsch-index, π-index or CDS-index by increasing the number of publications or citations only by unity?," Journal of Informetrics, Elsevier, vol. 7(1), pages 72-83.
    4. Emilio Ferrara & Alfonso E. Romero, 2013. "Scientific impact evaluation and the effect of self-citations: Mitigating the bias by discounting the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(11), pages 2332-2339, November.
    5. Guns, Raf & Rousseau, Ronald, 2009. "Real and rational variants of the h-index and the g-index," Journal of Informetrics, Elsevier, vol. 3(1), pages 64-71.
    6. Li Zhai & Xiangbin Yan & Bin Zhu, 2014. "The H l -index: improvement of H-index based on quality of citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1021-1031, February.
    7. van Eck, Nees Jan & Waltman, Ludo, 2008. "Generalizing the h- and g-indices," Journal of Informetrics, Elsevier, vol. 2(4), pages 263-271.
    8. Woeginger, Gerhard J., 2008. "An axiomatic characterization of the Hirsch-index," Mathematical Social Sciences, Elsevier, vol. 56(2), pages 224-232, September.
    9. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2010. "Self-citations at the meso and individual levels: effects of different calculation methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 517-537, March.
    10. Christoph Bartneck & Servaas Kokkelmans, 2011. "Detecting h-index manipulation through self-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 85-98, April.
    11. Judit Bar-Ilan & Mark Levene, 2015. "The hw-rank: an h-index variant for ranking web pages," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2247-2253, March.
    12. Carolyn J. Heinrich & Gerald Marschke, 2010. "Incentives and their dynamics in public sector performance management systems," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(1), pages 183-208.
    13. Lutz Bornmann & Rüdiger Mutz & Hans-Dieter Daniel & Gerlind Wallon & Anna Ledin, 2009. "Are there really two types of h index variants? A validation study by using molecular life sciences data," Research Evaluation, Oxford University Press, vol. 18(3), pages 185-190, September.
    14. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    15. S. Alonso & F. J. Cabrerizo & E. Herrera-Viedma & F. Herrera, 2010. "hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 391-400, February.
    16. Richard S. J. Tol, 2009. "The h-index and its alternatives: An application to the 100 most prolific economists," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 317-324, August.
    17. Wolfgang Glänzel & Bart Thijs, 2004. "The influence of author self-citations on bibliometric macro indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 281-310, March.
    18. Emilio Delgado López-Cózar & Nicolás Robinson-García & Daniel Torres-Salinas, 2014. "The Google scholar experiment: How to index false papers and manipulate bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(3), pages 446-454, March.
    19. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    20. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    21. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2007. "Generalized Hirsch h-index for disclosing latent facts in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 253-280, August.
    22. Erika Crispo, 2015. "A new index to use in conjunction with the h-index to account for an author's relative contribution to publications with high impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2381-2383, November.
    23. Lev A. Zhivotovsky & Konstantin V. Krutovsky, 2008. "Self-citation can inflate h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 373-375, November.
    24. Declan Butler, 2013. "Investigating journals: The dark side of publishing," Nature, Nature, vol. 495(7442), pages 433-435, March.
    25. Bornmann, Lutz & Daniel, Hans-Dieter, 2007. "Convergent validation of peer review decisions using the h index," Journal of Informetrics, Elsevier, vol. 1(3), pages 204-213.
    26. Chun-Ting Zhang, 2009. "The e-Index, Complementing the h-Index for Excess Citations," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-4, May.
    27. Thomas R. Anderson & Robin K. S. Hankin & Peter D. Killworth, 2008. "Beyond the Durfee square: Enhancing the h-index to score total publication output," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 577-588, September.
    28. 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.
    29. Schreiber, M. & Malesios, C.C. & Psarakis, S., 2012. "Exploratory factor analysis for the Hirsch index, 17 h-type variants, and some traditional bibliometric indicators," Journal of Informetrics, Elsevier, vol. 6(3), pages 347-358.
    30. Rodrigo Costas & María Bordons, 2008. "Is g-index better than h-index? An exploratory study at the individual level," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 267-288, November.
    31. Qiang Wu, 2010. "The w-index: A measure to assess scientific impact by focusing on widely cited papers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(3), pages 609-614, March.
    32. Dag W. Aksnes, 2003. "A macro study of self-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(2), pages 235-246, February.
    33. Frances Ruane & Richard S. J. Tol, 2008. "Rational (successive) h-indices: An application to economics in the Republic of Ireland," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 395-405, May.
    34. Cabrerizo, F.J. & Alonso, S. & Herrera-Viedma, E. & Herrera, F., 2010. "q2-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core," Journal of Informetrics, Elsevier, vol. 4(1), pages 23-28.
    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. Zhang, Guangyao & Xu, Shenmeng & Sun, Yao & Jiang, Chunlin & Wang, Xianwen, 2022. "Understanding the peer review endeavor in scientific publishing," Journal of Informetrics, Elsevier, vol. 16(2).
    2. Martin Szomszor & David A. Pendlebury & Jonathan Adams, 2020. "How much is too much? The difference between research influence and self-citation excess," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1119-1147, May.

    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. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    2. Ana Paula dos Santos Rubem & Ariane Lima Moura & João Carlos Correia Baptista Soares de Mello, 2015. "Comparative analysis of some individual bibliometric indices when applied to groups of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1019-1035, January.
    3. Zhenbin Yan & Qiang Wu & Xingchen Li, 2016. "Do Hirsch-type indices behave the same in assessing single publications? An empirical study of 29 bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1815-1833, December.
    4. Sidiropoulos, A. & Gogoglou, A. & Katsaros, D. & Manolopoulos, Y., 2016. "Gazing at the skyline for star scientists," Journal of Informetrics, Elsevier, vol. 10(3), pages 789-813.
    5. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
    6. 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.
    7. Brandão, Luana Carneiro & Soares de Mello, João Carlos Correia Baptista, 2019. "A multi-criteria approach to the h-index," European Journal of Operational Research, Elsevier, vol. 276(1), pages 357-363.
    8. Zhang, Lin & Thijs, Bart & Glänzel, Wolfgang, 2011. "The diffusion of H-related literature," Journal of Informetrics, Elsevier, vol. 5(4), pages 583-593.
    9. Madiha Ameer & Muhammad Tanvir Afzal, 2019. "Evaluation of h-index and its qualitative and quantitative variants in Neuroscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 653-673, November.
    10. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
    11. Georgios Stoupas & Antonis Sidiropoulos & Antonia Gogoglou & Dimitrios Katsaros & Yannis Manolopoulos, 2018. "Rainbow ranking: an adaptable, multidimensional ranking method for publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 147-160, July.
    12. Bouyssou, Denis & Marchant, Thierry, 2014. "An axiomatic approach to bibliometric rankings and indices," Journal of Informetrics, Elsevier, vol. 8(3), pages 449-477.
    13. Schreiber, M. & Malesios, C.C. & Psarakis, S., 2012. "Exploratory factor analysis for the Hirsch index, 17 h-type variants, and some traditional bibliometric indicators," Journal of Informetrics, Elsevier, vol. 6(3), pages 347-358.
    14. Kakushadze, Zura, 2016. "An index for SSRN downloads," Journal of Informetrics, Elsevier, vol. 10(1), pages 9-28.
    15. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2011. "Positioning research and innovation performance using shape centroids of h-core and h-tail," Journal of Informetrics, Elsevier, vol. 5(4), pages 515-528.
    16. Eleni Fragkiadaki & Georgios Evangelidis, 2014. "Review of the indirect citations paradigm: theory and practice of the assessment of papers, authors and journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 261-288, May.
    17. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    18. Lathabai, Hiran H., 2020. "ψ-index: A new overall productivity index for actors of science and technology," Journal of Informetrics, Elsevier, vol. 14(4).
    19. Stefano Vannucci, 2010. "Dominance dimension: a common parametric formulation for integer-valued scientific impact indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 43-48, July.
    20. Yu Liu & Wei Zuo & Ying Gao & Yanhong Qiao, 2013. "Comprehensive geometrical interpretation of h-type indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 605-615, August.

    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:eee:infome:v:10:y:2016:i:2:p:552-566. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    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.