Measuring Scholarly Impact
Ying Ding
ISBN 10: 3319348639 ISBN 13: 9783319348636
Verlag: Springer, Springer Aug 2016, 2016
Neu
Taschenbuch
Verkäufer
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Beschreibung
Beschreibung:
This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 360 pp. Englisch. Bestandsnummer des Verkäufers 9783319348636
Inhaltsangabe:
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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Bibliografische Details
Titel: Measuring Scholarly Impact
Verlag: Springer, Springer Aug 2016
Erscheinungsdatum: 2016
Einband: Taschenbuch
Zustand: Neu