Abstract
Purpose
– The purpose of this paper is to extend the h-index framework to the case that articles are counted fractionally.
Design/methodology/approach
– Three restrictions related to the standard h-index are explained: as the standard h-index is a natural number it is a rather coarse indicator; if a scientist has published a relatively small number of publications then the h-index is completely determined by the number of publications; the standard h-index cannot be applied if publications are counted fractionally, or when magnitude values smaller than one occur.
Findings
– We recall solutions we proposed in earlier publications regarding the first two problems (the use of the interpolated h-index and of the pseudo h-index) and add a new proposal to solve the third problem. The relation between the recently introduced window/field-normalized h-type index (hwf-index) and the interpolated h-index is described. A real-world example proves the feasibility of this proposal.
Research limitations/implications
– Colleagues have shown that the h-index and its variations have fatal flaws and hence should never be used. Yet, not everyone agrees with this opinion.
Originality/value
– Assuming that the h-index still has some value, this paper introduces a refinement of the interpolated h-index, called the generalized interpolated h-index. In this way the h-index framework is extended to incorporate, for instance, the case that fractional counting for publications and citations is applied.
Subject
Library and Information Sciences,Information Systems
Reference18 articles.
1. Amez, L.
(2012), “Citation measures at the micro level: influence of publication age, field and uncitedness”, Journal of the American Society for Information Science and Technology, Vol. 63 No. 7, pp. 1459-1465.
2. Bouyssou, D.
and
Marchant, T.
(2010), “Consistent bibliometric rankings of authors and of journals”, Journal of Informetrics, Vol. 4 No. 3, pp. 365-378.
3. Bouyssou, D.
and
Marchant, T.
(2011a), “Bibliometric rankings of journals based on impact factors: an axiomatic approach”, Journal of Informetrics, Vol. 5 No. 1, pp. 75-86.
4. Bouyssou, D.
and
Marchant, T.
(2011b), “Ranking scientists and departments in a consistent manner”, Journal of the American Society for Information Science and Technology, Vol. 62 No. 9, pp. 1761-1769.
5. Chai, J.C.
,
Hua, P.H.
,
Rousseau, R.
and
Wan, J.K.
(2008), “The adapted pure h-index”, in
Kretschmer, H.
and
Havemann, F.
(Eds), Proceedings of WIS 2008, Berlin. Proceedings of the Fourth International Conference on Webometrics, Informetrics and Scientometrics & Ninth COLLNET Meeting, available at: www.collnet.de/Berlin-2008/ChaiWIS2008aph.pdf.
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献