Informetric Tools

  • Henk F. MoedEmail author
Part of the Qualitative and Quantitative Analysis of Scientific and Scholarly Communication book series (QQASSC)


This chapter presents a detailed discussion of the 28 indicators or indicator families presented in Table  3.5 in Chap. 3. It explains how they are calculated, and what their main pros and cons are. The chapter continues with an overview of ‘big’ informetric datasets, and how they can be combined. Finally, it briefly introduces mapping tools of science and technology.


Article recommender systems Assessment context Assessment objectives Authoritativeness of citations Big data Citation context Clickstreams Cloud computing Co-citation analysis Cognitive linkages Composite indicator Cost-benefit measures Cross-disciplinary research Download immediacy index Esteem Facebook Functional imperative Intellectual influence Journal influence weights Journal usage factor Mapping software packages Mass media Multi-authorship Network analysis Non-parametric Page-rank algorithm Percentile ranks Persuasiveness of citations Preconditions to performace Publication types Reading behavior Recognition by peers Reputation Research collaboration Research intensity Research mission Research productivity Research specialties Response rates Scholarly blogs Science base Science maps Science of science Shanghai ranking Size-dependent Size-independent Socially defined quality Stock portfolios Technological impact Time delays Twitter Web impact factor Webometrics 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.AmsterdamThe Netherlands

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