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Multidimensional Analysis of Trends in Patent Activity

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Abstract

Only multidimensional analyses can provide overviews of complex relationships among many variables. We have previously illustrated the use of Correspondence Factor Analysis (CFA) in the analysis of publication profiles. In this article, we retrace our activity in patent analysis from the late 1970s to the present day and show how CFA is a particularly useful tool not only for describing the correlations between countries and technological fields but also for highlighting non-linear patenting time trends.

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Authors and Affiliations

  1. CNRS ESA 8041, Muséum National d'Histoire Naturelle, Paris, France

    Jean-Christophe Doré

  2. Société Française pour le Développement de l'Information en Chimie, Aulnay-sous-Bois, France

    Christian Dutheuil

  3. Laboratoire Stratégie et Technologie, Ecole Centrale de Paris, Châtenay-Malabry, France

    Jean-François Miquel

Authors
  1. Jean-Christophe Doré
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  2. Christian Dutheuil
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  3. Jean-François Miquel
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Doré, JC., Dutheuil, C. & Miquel, JF. Multidimensional Analysis of Trends in Patent Activity. Scientometrics 47, 475–492 (2000). https://doi.org/10.1023/A:1005667800235

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