Measuring scholarly impact : methods and practice / Ying Ding, Ronald Rousseau, Dietmar Wolfram, editors.
This book is an authoritative handbook of current topics, technologies and methodological approaches that may be used for the study of scholarly impact. The included methods cover a range of fields such as statistical sciences, scientific visualization, network analysis, text mining, and information...
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| Online Access: |
Full Text (via Springer) |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham [Switzerland] :
Springer,
[2014]
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| Subjects: |
Table of Contents:
- 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.