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: |
| Summary: | 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 retrieval. The techniques and tools enable researchers to investigate metric phenomena and to assess scholarly impact in new ways. Each chapter offers an introduction to the selected topic and outlines how the topic, technology or methodological approach may be applied to metrics-related research. Comprehensive and up-to-date, Measuring Scholarly Impact: Methods and Practice is designed for researchers and scholars interested in informetrics, scientometrics, and text mining. The hands-on perspective is also beneficial to advanced-level students in fields from computer science and statistics to information science. |
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| Physical Description: | 1 online resource (xiv, 346 pages) : illustrations (some color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783319103778 3319103776 3319103768 9783319103761 |
| Source of Description, Etc. Note: | Online resource; title from PDF title page (SpringerLink, viewed December 4, 2014) |