Skip to main content
SpringerLink
Log in

The j-index: a new bibliometric index and multivariate comparisons between other common indices

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

A new bibliometric index is proposed, trying to preserve the advantages of the h-index and to overcome its disadvantages. Multivariate comparisons among 18 bibliometric indices are performed by using Hasse Diagram Technique (HDT) and Principal Component Analysis (PCA). The comparisons were performed on some artificial data sets, three of them well known in literature. The obtained results seems to highlight some interesting properties of the new index and also reveals some relevant relationships among the considered bibliometric indices.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Alonso, S., Cabrerizo, F., Herrera-Viedma, E., & Herrera, F. (2010). hg-index: A new index to characterize the scientific output of researchers based on h- and g-indices. Scientometrics, 82, 391–400.

    Article  Google Scholar 

  • Anderson, T. R., Hankin, R. K. S., & Killworth, P. D. (2008). Beyond the Durfee square: Enhancing the h-index to score total publication output. Scientometrics, 76, 577–588.

    Article  Google Scholar 

  • Bornmann, L., & Daniel, H.-D. (2007). What do we know about the h index? Journal of the American Society for Information Science and Technology, 58, 1381–1385.

    Article  Google Scholar 

  • Egghe, L. (2006a). How to improve the h-index. The Scientist, 20, 14.

    Google Scholar 

  • Egghe, L. (2006b). Theory and practice of the g-index. Scientometrics, 69, 131–152.

    Article  Google Scholar 

  • Egghe, L., & Rousseau, R. (2007). An h-index weighted by citation impact. Information Processing and Management, 44, 770–780.

    Article  Google Scholar 

  • Franceschini, F., & Maisano, D. (2011). Criticism on the hg-index. Scientometrics, 86, 339–346.

    Google Scholar 

  • Glänzel, W. (2008) On some new bibliometric applications of statistics related to the h-index. Katholieke Universiteit Leuven. https://lirias.kuleuven.be/bitstream/123456789/198470/1/MSI_0801.pdf.

  • Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Science of USA, 102, 16569–16572.

    Article  Google Scholar 

  • Jin, B.-H. (2006). H-index: An evaluation indicator proposed by scientist. Science Focus, 1, 8–9.

    Google Scholar 

  • Jin, B.-H., Liang, L.-M., Rousseau, R., & Egghe, L. (2007). The R- and AR-indices: Complementing the h-index. Chinese Science Bulletin, 52, 855–863.

    Article  Google Scholar 

  • Kosmulski, M. (2006). A new Hirsch-type index saves time and works equally well as the original h-index. International Society for Scientometrics and Informetrics. http://www.issi-society.info/archives/index.html.

  • Panaretos, J., & Chrisovaladis, M. (2008). Assessing scientific research performance and impact with single indices. Scientometrics, 81, 635–670.

    Google Scholar 

  • Prathap, G. (2010). Is there a place for a mock h-index? Scientometrics, 84, 153–165.

    Article  Google Scholar 

  • Rousseau, R. (2008). Reflections on recent developments of the h-index and h-type indices. Collnet Journal of Scientometrics and Information Management, 2, 1–8.

    Google Scholar 

  • Schubert, A., & Glänzel, W. (2007). A systematic analysis of Hirsch-type indices for journals. Journal of Informetrics, 1, 179.

    Article  Google Scholar 

  • Sidiropoulos, A., Katsaros, D., & Manolopoulos, Y. (2006). Generalized h-index for disclosing latent facts in citation networks. Scientometrics, 72, 253–280.

    Article  Google Scholar 

  • Talete srl (2011). DART (Decision Analysis by Ranking Techniques). http://www.talete.mi.it/products/dart_description.htm.

  • Tol, R. S. J. (2009). The h-index and its alternatives: An application to the 100 most prolific economists. Scientometrics, 80, 317–324.

    Article  Google Scholar 

  • Vinkler, P. (2007). Eminence of scientists in the light of the h-index and other scientometric indicators. Journal of Information Science, 33, 481–491.

    Article  MathSciNet  Google Scholar 

  • Wu, Q. (2008). The w-index: A significant improvement of the h-index. Cornell University Library - arXiv. org. http://arxiv.org/find/all/1/all:+w-index/0/1/0/all/0/1.

  • Zhang, C.-T. (2009). The e-index, complementing the h-index for excess citations. PLoS One. www.plosone.org.

Download references

Author information

Authors and Affiliations

  1. Milano Chemometrics and QSAR Research Group, Department of Environmental Sciences, University of Milano-Bicocca, 20126, Milan, Italy

    Roberto Todeschini

Authors
  1. Roberto Todeschini
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Roberto Todeschini.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Todeschini, R. The j-index: a new bibliometric index and multivariate comparisons between other common indices. Scientometrics 87, 621–639 (2011). https://doi.org/10.1007/s11192-011-0346-5

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-011-0346-5

Keywords

Search

Navigation