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Abstract  

The hypothesis proposed by the author expresses that Zipf's law is only fulfilled on rank distributions which correspond to highly integrated (closed) subject fields. This hypothesis was tested on vast amount of empirical data. It was shown that document files in integrated fields are characterised by thematic, chronological (and sometimes geographical) closedness, as well as closedness by citation. Relationships were found between empirical facts usually considered in isolation within the frameworks of different scientometric and bibliometric theories (the theory of information concentration and scattering, obsolescence theory, theory of changing source productivity).

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Scientometrics
Authors: V. A. Markusova, A. N. Libkind, A. E. Varshavsly, and C. N. M. Jansz

Abstract

The Novosibirsk region is one of the most industrialized in Siberia. In 1957 the Siberian Branch of the Academy of Sciences of the USSR (now Siberian Branch of the RAS (SBRAS)) was set up to stimulate a rapid development of the Siberian and Far East research forces. The goal of this mainly bibliometric, empirical study is to obtain insight into R&D performance in the Novosibirsk region, domestic and international collaborations and the impact of new government science policies focused on boosting the research and innovation activities of regional universities. Key drivers of research performance are institutions of the SBRAS. Second place in terms of research output belongs to Novosibirsk State University. Its research focuses on hard sciences. 75% of its papers were published in collaboration with SBRAS institutions. Research output is growing. Novosibirsk area's share of RFBR grants was stable around 8%. Publications from RFBR grantees in 34 subject categories had a level-aggregated indicator value of one or higher. In these hard-science areas Russian research develops in accordance with global trends. We observed a concentration of domestic collaboration in the Novosibirsk area as well as a strong international collaboration with advanced economies, in particular in the Asia–Pacific region.

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Scientometrics
Authors: Valentina A. Markusova, Vladimir A. Minin, Alexandr N. Libkind, C. N. Margriet Jansz, Michel Zitt, and Elise Bassecoulard-Zitt

Abstract

The tremendous social and political changes that culminated in the Soviet Union's dissolution had a great impact on the Russian science community. Due to the Russian transformation to a market economy a new model of R&D emerged on the basis of the higher education system (R&D in universities). This paper is part of a project, the main goals of which were to analyse the impact of competitive funding on R&D in provincial universities, the distribution of funding by the Russian Foundation for Basic Research, and the level of cross-sectoral and international collaboration. This paper gives a descriptive overview of R&D conducted at the 380 provincial universities, looking at 9,800 applications, 1,950 research projects, 19,981 individuals, and more than 29,600 publications for the period 1996–2001. Our data demonstrated a positive tendency in demographic statistics in the provinces. A map of intra-national collaboration taking place in 1995–2002 in provincial universities situated in different economic regions was designed. Our data show a strong collaboration within the regions, which is an important factor of sustainability. Publication output grew by a factor two or two-and half in six years. The share in output on mathematics was the highest at about 45%, physics and chemistry had equal shares of about 20% each. Researchers from the Ural and Povolzh'e regions were more active in knowledge dissemination than their colleagues from the other nine economic-geographic regions. Bibliometric analysis of more than 1,450 international collaborative publications for 1999–2001 demonstrated a strong shift in collaboration partners from Former East Block and former USSR countries to Western Europe, USA and Japan. Among the regions, Povolzh'e, Ural, Volgo-Vyatsky and Central Chernozem'e demonstrated a stronger tendency to collaborate. This collaboration depends heavily on financial support from foreign countries.

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