Authors:
- Gives an overview of the pros and cons of 28 often used indicators, including Journal Impact Factor, SNIP, SJR, relative citation rates, h index, full text downloads and altmetrics.
- Discusses a series of hot topics including the multi-dimensional nature of research performance, the value of world university rankings, and the use of Google Scholar.
- Presents lectures with historical overviews of the field, starting from three founding fathers: Derek de Solla Price, Eugene Garfield and Francis Narin.
- Includes supplementary material: sn.pub/extras
Part of the book series: Qualitative and Quantitative Analysis of Scientific and Scholarly Communication (QQASSC)
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Table of contents (19 chapters)
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Front Matter
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General Introduction and Synopsis
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Front Matter
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Informetric Indicators of Research Performance
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Front Matter
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The Application Context
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Front Matter
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About this book
This book presents an introduction to the field of applied evaluative informetrics, dealing with the use of bibliometric or informetric indicators in research assessment. It sketches the field’s history, recent achievements, and its potential and limits.
The book dedicates special attention to the application context of quantitative research assessment. It describes research assessment as an evaluation science, and distinguishes various assessment models, in which the domain of informetrics and the policy sphere are disentangled analytically. It illustrates how external, non-informetric factors influence indicator development, and how the policy context impacts the setup of an assessment process. It also clarifies common misunderstandings in the interpretation of some often used statistics.
It is written for interested scholars from all domains of science and scholarship, and especially for all those subjected to research assessment, research students at advanced master and PhD level, research managers, funders and science policy officials, and to practitioners and students in the field.
Reviews
“In Applied Evaluative Informetrics the author adopts a didactic approach and a pragmatic perspective, drawing on his extensive knowledge and experience. He has written the book for a general audience of non-experts and only secondarily for the scientometric or informetric community.” (David A. Pendlebury, Scientometrics, Vol. 119, 2019)
Authors and Affiliations
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Amsterdam, The Netherlands
Henk F. Moed
About the author
He has published numerous research articles, and is editor of several journals in his field. He is a winner of the Derek de Solla Price Award in 1999. He edited, jointly with W. Glanzel and U. Schmoch, the Handbook on Quantitative Science and Technology Research (Kluwer 2004), and published Citation Analysis in Research Evaluation (Springer 2005), a textbook which is one of very few of these in the field.
He developed a new indicator of journal impact, SNIP (Source Normalized Impact per Paper), a so called “rolling year” journal metric. He is a member of the Board of the International Society for Scientometrics and Informetrics (ISSI). He was a Senior Scientific Advisor at Elsevier for 4 years and a founder of the Elsevier Bibliometric Research Program (EBRP, which ran till Aug. 2013) and of the Elsevier Metrics Development Program (from 2014). He also was Director of the Informetric Research Group (2012-2014).
Bibliographic Information
Book Title: Applied Evaluative Informetrics
Authors: Henk F. Moed
Series Title: Qualitative and Quantitative Analysis of Scientific and Scholarly Communication
DOI: https://doi.org/10.1007/978-3-319-60522-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-60521-0Published: 06 November 2017
Softcover ISBN: 978-3-319-86878-3Published: 23 August 2018
eBook ISBN: 978-3-319-60522-7Published: 08 September 2017
Series ISSN: 2365-8371
Series E-ISSN: 2365-838X
Edition Number: 1
Number of Pages: XXI, 312
Number of Illustrations: 17 b/w illustrations, 148 illustrations in colour
Topics: Information Storage and Retrieval, Science, Humanities and Social Sciences, multidisciplinary, Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), Innovation/Technology Management