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Springer Handbook of Science and Technology Indicators

  • Wolfgang Glänzel
  • Henk F. Moed
  • Ulrich Schmoch
  • Mike Thelwall
Book

Part of the Springer Handbooks book series (SHB)

Table of contents

  1. Front Matter
    Pages I-XXXVIII
  2. Analysis of Data Sources and Network Analysis

    1. Front Matter
      Pages 1-2
    2. Michel Zitt, Alain Lelu, Martine Cadot, Guillaume Cabanac
      Pages 25-68
    3. Ronald Rousseau, Lin Zhang, Xiaojun Hu
      Pages 69-94
    4. Emilio Delgado López-Cózar, Enrique Orduña-Malea, Alberto Martín-Martín
      Pages 95-127
    5. Daniel Torres-Salinas, Nicolas Robinson-García, Henk F. Moed
      Pages 129-144
    6. Jose A. Moral-Munoz, Antonio G. López-Herrera, Enrique Herrera-Viedma, Manuel J. Cobo
      Pages 159-185
    7. Kevin W. Boyack, Richard Klavans
      Pages 187-212
  3. Advancement of Methodology for Research Assessment

    1. Front Matter
      Pages 235-236
    2. Ludo Waltman, Nees Jan van Eck
      Pages 281-300
    3. András Schubert, Gábor Schubert
      Pages 301-334
    4. Wolfgang Glänzel, Bart Thijs, Koenraad Debackere
      Pages 335-360
    5. Loet Leydesdorff, Inga Ivanova, Martin Meyer
      Pages 421-443
  4. Science Systems and Research Policy

    1. Front Matter
      Pages 445-446
    2. Koenraad Debackere, Wolfgang Glänzel, Bart Thijs
      Pages 447-464
    3. Sybille Hinze, Linda Butler, Paul Donner, Ian McAllister
      Pages 465-484
    4. Jacqueline Leta, Raymundo das Neves Machado, Roberto Mario Lovón Canchumani
      Pages 485-504
    5. Lutz Bornmann, Robin Haunschild
      Pages 609-632
  5. New Indicators for Research Assessment

    1. Front Matter
      Pages 685-686
    2. Paul Wouters, Zohreh Zahedi, Rodrigo Costas
      Pages 687-713
    3. Alesia Zuccala, Nicolas Robinson-García
      Pages 715-728
    4. Stefanie Haustein
      Pages 729-760
    5. Ehsan Mohammadi, Mike Thelwall
      Pages 761-779
    6. Edwin A. Henneken, Michael J. Kurtz
      Pages 819-834
  6. Advancement of Methodology for Patent Analysis

    1. Front Matter
      Pages 857-858
    2. Carson Leung, Wookey Lee, Justin Jongsu Song
      Pages 859-874
    3. Rainer Frietsch, Peter Neuhäusler
      Pages 875-888
    4. Ilias Gialampoukidis, Anastasia Moumtzidou, Stefanos Vrochidis, Ioannis Kompatsiaris
      Pages 889-906
    5. Ulrich Schmoch, Mosahid Khan
      Pages 907-927
    6. Bart Van Looy, Tom Magerman
      Pages 929-956
    7. Samira Ranaei, Arho Suominen, Alan Porter, Tuomo Kässi
      Pages 957-982
    8. Andrea Bonaccorsi, Gualtiero Fantoni, Riccardo Apreda, Donata Gabelloni
      Pages 983-1003
  7. Patent System, Patents and Economics

    1. Front Matter
      Pages 1005-1006
    2. Peter Neuhäusler, Rainer Frietsch
      Pages 1007-1022
    3. Sandro Mendonça, Ulrich Schmoch, Peter Neuhäusler
      Pages 1023-1035

About this book

Introduction

This handbook presents the state of the art of quantitative methods and models to understand and assess the science and technology system. Focusing on various aspects of the development and application of indicators derived from data on scholarly publications, patents and electronic communications, the individual chapters, written by leading experts, discuss theoretical and methodological issues, illustrate applications, highlight their policy context and relevance, and point to future research directions.

A substantial portion of the book is dedicated to detailed descriptions and analyses of data sources, presenting both traditional and advanced approaches. It addresses the main bibliographic metrics and indexes, such as the journal impact factor and the h-index, as well as altmetric and webometric indicators and science mapping techniques on different levels of aggregation and in the context of their value for the assessment of research performance as well as their impact on research policy and society. It also presents and critically discusses various national research evaluation systems.

Complementing the sections reflecting on the science system, the technology section includes multiple chapters that explain different aspects of patent statistics, patent classification and database search methods to retrieve patent-related information. In addition, it examines the relevance of trademarks and standards as additional technological indicators.

The Springer Handbook of Science and Technology Indicators is an invaluable resource for practitioners, scientists and policy makers wanting a systematic and thorough analysis of the potential and limitations of the various approaches to assess research and research performance.


Keywords

Scientometrics Bibliometircs patent analysis Altmetrics Research Assessment Scientometric indicators science indicators Network analysis Science mapping Citation analysis Impact factor bibliometric indicators informetrics webometrics patent classification systems web-based indicators social media metrics

Editors and affiliations

  1. 1.ECOOM and Faculty of Economics and BusinessKU LeuvenLeuvenBelgium
  2. 2.AmsterdamThe Netherlands
  3. 3.Competence Center Policy – Industry – InnovationFraunhofer Institute for Systems and Innovation Research ISIKarlsruheGermany
  4. 4.Faculty of Science and EngineeringUniversity of WolverhamptonWolverhamptonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-02511-3
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Economics and Finance
  • Print ISBN 978-3-030-02510-6
  • Online ISBN 978-3-030-02511-3
  • Series Print ISSN 2522-8692
  • Series Online ISSN 2522-8706
  • Buy this book on publisher's site
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