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Actor analysis in neural network research: the position of Germany

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  • E C M Noyons
  • A F J van Raan

Abstract

In this paper the results of a bibliometric study of neural network research are presented. This evaluative study includes bibliometric mapping and actor analysis of main players in the field on a macro level (countries, in particular Germany), and, on a lower level, of the main players in Germany. We found that Germany is among the leading countries in the field. This study, together with Noyons and van Raan (1997), is also a blueprint for evaluative bibliometric studies of emerging or strongly developing science and technology fields. The monitoring of major developments in the field, and a detailed actor analysis were integrated into one study. Copyright , Beech Tree Publishing.

Suggested Citation

  • E C M Noyons & A F J van Raan, 1996. "Actor analysis in neural network research: the position of Germany," Research Evaluation, Oxford University Press, vol. 6(2), pages 133-142, August.
    • Handle: RePEc:oup:rseval:v:6:y:1996:i:2:p:133-142
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    File URL: http://hdl.handle.net/10.1093/rev/6.2.133
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    Cited by:

    1. Robert Claude & Arreto Charles-Daniel & Azerad Jean & Gaudy Jean-Francois, 2004. "Bibliometric overview of the utilization of artificial neural networks in medicine and biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(1), pages 117-130, January.
    2. Noyons, E. C. M. & Luwel, M. & Moed, H. F., 1998. "Assessment of Flemish R&D in the field of information technology: A bibliometric evaluation based on publication and patent data, combined with OECD research input statistics," Research Policy, Elsevier, vol. 27(3), pages 285-300, July.
    3. E. C. M. Noyons & H. F. Moed & A. F. J. Raan, 1999. "Integrating research performance analysis and science mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 591-604, November.

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