Handbook of Quantitative Science and Technology Research

The Use of Publication and Patent Statistics in Studies of S&T Systems

  • Henk F. Moed
  • Wolfgang Glänzel
  • Ulrich Schmoch

Table of contents

  1. Front Matter
    Pages i-x
  2. Editors’ Introduction

    1. Henk F. Moed, Wolfgang Glänzel, Ulrich Schmoch
      Pages 1-15
  3. Disciplinary Approaches

  4. General Methodology

    1. Edda Leopold, Michael May, Gerhard Paaß
      Pages 187-213
    2. Sybille Hinze, Ulrich Schmoch
      Pages 215-235
    3. Wolfgang Glänzel, András Schubert
      Pages 257-276
    4. Bhaven N. Sampat, Arvids A. Ziedonis
      Pages 277-298
    5. Fulvio Naldi, Daniela Luzi, Adriana Valente, Ilaria Vannini Parenti
      Pages 299-314
    6. Peter Ingwersen, Lennart Björneborn
      Pages 339-369
  5. The Science System

About this book


This handbook offers a state-of-the-art overview of quantitative science and technology research. It focuses on the development and application of indicators derived from data on scientific or scholarly publications and patents. It comprises 34 chapters written by leading specialists in the various sub-domains. These chapters deal with theoretical and methodological issues, illustrate applications, and highlight their policy context and relevance. Authors present a survey of the research topics they address, and show their most recent achievements. The 34 chapters are arranged into 5 parts: Disciplinary Approaches; General Methodology; The Science System; The Technology System; and The Science–Technology Interface. The Editor’s Introduction provides a further specification of the handbook’s scope and of the main topics addressed in its chapters. This handbook aims at four distinct groups of readers: – practitioners in the field of science and technology studies; – research students in this field; – scientists, scholars and technicians who are interested in a systematic, thorough analysis of their activities; – policy makers and administrators who wish to be informed about the potentialities and limitations of the various approaches and about their results.


Forschung & Entwicklung R programming language berckelaercompscience calculus data mining performance science and technology technology policy

Editors and affiliations

  • Henk F. Moed
    • 1
  • Wolfgang Glänzel
    • 2
  • Ulrich Schmoch
    • 3
  1. 1.Centre for Science and Technology StudiesUniversity of LeidenThe Netherlands
  2. 2.Steunpunt O&O StatistiekenK.U. LeuvenBelgium
  3. 3.Fraunhofer Institute for Systems and Innovation ResearchKarlsruheGermany

Bibliographic information

  • DOI https://doi.org/10.1007/1-4020-2755-9
  • Copyright Information Springer Science + Business Media, Inc. 2005
  • Publisher Name Springer, Dordrecht
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-1-4020-2702-4
  • Online ISBN 978-1-4020-2755-0
  • About this book