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Is the promotion of research reflected in bibliometric data? A network analysis of highly cited papers on the Clusters of Excellence supported under the Excellence Initiative in Germany

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  • Lutz Bornmann

    (Administrative Headquarters of the Max Planck Society)

Abstract

Under the Excellence Initiative, a number of Clusters of Excellence in Germany have been supported since 2006 and 2007—including each a limited number of cooperating institutions. The aim of the present study is to investigate whether support for Clusters of Excellence since 2006 and 2007 is reflected in bibliometric network data. For this purpose, a comparison is made between network data in the period before support started (2003–2005) and in the period after support started (2009–2011). For these two periods, a co-authorship network is generated (based on the funded institutions). This is based on publications which are among the 1 % most frequently cited publications in their respective fields and publication year and which have at least one author from Germany. As the results show, the outcomes this yields for life sciences and natural sciences differ from each other. Whereas natural sciences display an effect of establishment of Clusters of Excellence on the bibliometric networks, this was not true of life sciences. After establishment of the Clusters of Excellence, the network in natural sciences not only contained more institutions of a Cluster of Excellence, but these institutions were distributed across fewer bibliometric clusters in the network than before establishment. In other words the structure of the Clusters of Excellence was better reflected in the network.

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  • Lutz Bornmann, 2016. "Is the promotion of research reflected in bibliometric data? A network analysis of highly cited papers on the Clusters of Excellence supported under the Excellence Initiative in Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1041-1061, June.
    • Handle: RePEc:spr:scient:v:107:y:2016:i:3:d:10.1007_s11192-016-1925-2
    DOI: 10.1007/s11192-016-1925-2
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    References listed on IDEAS

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    1. Lutz Bornmann, 2014. "How are excellent (highly cited) papers defined in bibliometrics? A quantitative analysis of the literature," Research Evaluation, Oxford University Press, vol. 23(2), pages 166-173.
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    3. Lutz Bornmann, 2013. "What is societal impact of research and how can it be assessed? a literature survey," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 217-233, February.
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    5. Jian Wang, 2013. "Citation time window choice for research impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 851-872, March.
    6. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    7. Nadine V. Kegen, 2015. "Cohesive subgroups in academic networks: unveiling clique integration of top-level female and male researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 897-922, June.
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    7. Ugo Finardi, 2017. "Long time series of highly cited articles: an empirical study," IRCrES Working Paper 201712, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    8. Torger Möller & Marion Schmidt & Stefan Hornbostel, 2016. "Assessing the effects of the German Excellence Initiative with bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2217-2239, December.
    9. Krieger, Bastian, 2023. "Heterogeneous regional university funding and firm innovation: An empirical analysis of the German excellence initiative," ZEW Discussion Papers 23-006, ZEW - Leibniz Centre for European Economic Research.
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