Description
Measuring Scholarly Impact, Softcover reprint of the original 1st ed. 2014
Methods and Practice
Coordinators: Ding Ying, Rousseau Ronald, Wolfram Dietmar
Language: EnglishSubjects for Measuring Scholarly Impact:
Keywords
ISI; Page Rank; Thomson Reuters; bibliometrics; citations; community detection; discrete choice models; impact factor; informetrics; knowledge integration and diffusion; network dynamics; percentiles and effect size; scholarly impact; scientometrics; system life cycle; text mining; topic modeling; visualization
Publication date: 08-2016
Support: Print on demand
Publication date: 11-2014
346 p. · 15.5x23.5 cm · Hardback
Description
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Community detection and visualization of networks with the map equation framework.- Link Prediction.- Network analysis and indicators.- PageRank-related methods for analyzing citation networks.- Systems Life Cycle and its relation with the Triple Helix.- Spatial scientometrics and scholarly impact: A review of recent studies, tools and methods.- Researchers’ publication patterns and their use for author disambiguation.- Knowledge integration and diffusion: Measures and mapping of diversity and coherence.- Limited dependent variables models and probabilistic prediction in informetrics.- Text mining with the Stanford CoreNLP.- Topic modeling: Measuring scholarly impact using a topical lens.- The substantive and practical significance of citation impact differences between institutions: Guidelines for the analysis of percentiles using effect sizes and confidence intervals.- Visualizing bibliometric networks.- Replicable science of science studies.