An Introduction to Bibliometrics and Informetrics

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Author(s): Sean Eom (Southeast Missouri State University, USA)
Copyright: 2009
Pages: 35
Source title: Author Cocitation Analysis: Quantitative Methods for Mapping the Intellectual Structure of an Academic Discipline
Source Author(s)/Editor(s): Sean B. Eom (Southeast Missouri State University, USA)
DOI: 10.4018/978-1-59904-738-6.ch001

Keywords: Information Science Reference / Library & Information Science / Library Information Systems / Library Science

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Abstract

Author cocitation analysis (ACA) is a branch of bibliometrics. Bibliometrics/informetrics is one of the older areas of library and information science. The terms bibliometrics, scientometrics, and informetrics are often used synonymously. This chapter briefly overviews bibliometrics, including basic concepts, scopes, and study areas of bibliometrics. The areas of study cover bibliometric distribution, citation and cocitation analyses, and library use studies. The study of bibliometric distribution led to the invention of Lotka’s law of scientific productivity, Bradford’s law of core scatter in journals, and Zipf’s law of word occurrence. The researchers in the citation and co-citation areas identify the pattern of how published documents are cited over time using many different approaches such as bibliometric coupling, document cocitation analysis, author cocitation analysis, and co-word analysis. This chapter also discusses assumptions, purposes, benefits, limitations, and criticism of ACA. The last section of this chapter includes discussions of several developments in informetrics and ACA. Since the late 1990s, a new subset of informetrics, webometrics/ cybermetrics, has become part of the main stream library and information science research area. In ACA, there had been a series of intense debates on the use of Pearson correlations coefficients, r, as a similarity measure along with several new developments in ACA visualization tools such as Pathfinder networks (Howard D. White, 2003b), AuthorLink (Lin, White, & Buzydlowski, 2003), and VxInsight (Boyack, Wylie, & Davidson, 2002).

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