The plausibility of computing the h-index of scholarly productivity and impact using reference-enhanced databases

Péter Jacsó

doi:10.1108/14684520810879872

Login

Welcome:
Guest

Search for:

Browse:

Product Information:

Resources:

Online Information Review

ISSN: 1468-4527

Online from: 1977

Subject Area: Library and Information Studies

Content: Latest Issue | Latest Issue RSS | Previous Issues

Options: To add Favourites and Table of Contents Alerts please take a Emerald profile

The plausibility of computing the h-index of scholarly productivity and impact using reference-enhanced databases

Document Information:
Title:	The plausibility of computing the h-index of scholarly productivity and impact using reference-enhanced databases
Author(s):	Péter Jacsó, (University of Hawaii, Hawaii, USA)
Citation:	Péter Jacsó, (2008) "The plausibility of computing the h-index of scholarly productivity and impact using reference-enhanced databases", Online Information Review, Vol. 32 Iss: 2, pp.266 - 283
Keywords:	Databases, Indexing
Article type:	General review
DOI:	10.1108/14684520810879872 (Permanent URL)
Publisher:	Emerald Group Publishing Limited
Abstract:	Purpose – This paper aims to provide a general overview, to be followed by a series of papers focusing on the analysis of pros and cons of the three largest, cited-reference-enhanced, multidisciplinary databases (Google Scholar, Scopus, and Web of Science) for determining the h-index. Design/methodology/approach – The paper focuses on the analysis of pros and cons of the three largest, cited-reference-enhanced, multidisciplinary databases (Google Scholar, Scopus and Web of Science). Findings – The h-index, developed by Jorge E. Hirsch to quantify the scientific output of researchers, has immediately received well-deserved attention in academia. The theoretical part of his idea was widely embraced, and even enhanced, by several researchers. Many of them also recommended derivative metrics based on Hirsch's idea to compensate for potential distortion factors, such as high self-citation rates. The practical aspects of determining the h-index also need scrutiny, because some content and software characteristics of reference-enhanced databases can strongly influence the h-index values. Originality/value – The paper focuses on the analysis of pros and cons of the three largest, cited-reference-enhanced, multidisciplinary databases.