Bibliometrics And Citation Analysis
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Bibliometrics and Citation Analysis
Author: Nicola De Bellis
language: en
Publisher: Bloomsbury Publishing PLC
Release Date: 2009-03-09
Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics offers a comprehensive overview of theories, techniques, concepts, and applications in the interdisciplinary and steadily growing field of bibliometrics. This book looks at bibliographic citation and citation networks by discussing the past, present, and future of bibliometrics, from its foundations in the Science Citation Index to its expansion into the World Wide Web. It is useful to those in every area of scholarship involved in the quantitative analysis of information exchanges, but also to general readers who simply wish to familiarize themselves with an important area of information science.
Beyond Bibliometrics
A comprehensive, state-of-the-art examination of the changing ways we measure scholarly performance and research impact.
Citation Analysis in Research Evaluation
Author: Henk F. Moed
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-03-30
This book is written for members of the scholarly research community, and for persons involved in research evaluation and research policy. More specifically, it is directed towards the following four main groups of readers: – All scientists and scholars who have been or will be subjected to a quantitative assessment of research performance using citation analysis. – Research policy makers and managers who wish to become conversant with the basic features of citation analysis, and about its potentialities and limitations. – Members of peer review committees and other evaluators, who consider the use of citation analysis as a tool in their assessments. – Practitioners and students in the field of quantitative science and technology studies, informetrics, and library and information science. Citation analysis involves the construction and application of a series of indicators of the ‘impact’, ‘influence’ or ‘quality’ of scholarly work, derived from citation data, i.e. data on references cited in footnotes or bibliographies of scholarly research publications. Such indicators are applied both in the study of scholarly communication and in the assessment of research performance. The term ‘scholarly’ comprises all domains of science and scholarship, including not only those fields that are normally denoted as science – the natural and life sciences, mathematical and technical sciences – but also social sciences and humanities.