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Introduction The scientific structure of individual countries determines how resources and funds are distributed over disciplines. It is common understanding that the reasons for a country's particular disciplinary structure

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Abstract  

The inherited disciplinary structure of the science of post-communist countries of CEE carries a strong common features of its past. The communist heritage is present in: a) a relatively homogeneous research profile among post-communist countries; b) the similar structure of disciplinary comparative advantages of post-communist countries; c) the unbalanced and concentrated disciplinary structure of comparative advantages. The analysis is based on ISI databases and uses statistics on papers and citations for the 1992–1997 period for all central and eastern European countries as well as for other world regions. In the conclusions we discuss the relevance of the results for the restructuring of science in the countries of Central and Eastern Europe.

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; Porter and Chubin 1985 ). Moreover, attention has been paid to the issue of the homogeneity of disciplinary structures between countries, see e.g. (Kozlowski et al. 1999 ; Segev et al. 2007 ; Zitt et al. 2007 ). Yet, few studies combine the two topics

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Abstract  

In order to attribute journals to specialties in a dynamic journal set by using aggregated journal-journal citations derived from theScience Citation Index, it is necessary to complement the multi-variate analysis of this data with a time-serices perspective. This calls for a more analytical approach to the problem of choice among the many possible parameters for clustering. Changes in the disciplinary structure of science are tracked by using thedifferences among the multi-variate analyses for the various years. It is impossible to attribute change systematically to structure, noise, or deviance if these uncertainties are not clearly definedex ante. The study discusses the various choices which have to be made, in both conceptual and methodological terms. In addition to hierarchies among journals, one has to assume heterarchy among journal groups (and their centroids). For comprehensive mapping, a concept of macro-journals as representations of a density of points in the multi-dimensinoal space is defined. Empirical reslts indicate the feasibility of dynamic journal-journal mapping by using these methods.

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Scientometrics
Authors: Antonio J. Gómez-Núñez, Benjamín Vargas-Quesada, Félix de Moya-Anegón, and Wolfgang Glänzel

Science field stand contributions by figures such as Dewey, Otlet, Ranganathan or Hjørland, for instance. According to Glänzel and Schubert ( 2003 ) “classification of science into a disciplinary structure is at least as old as science itself”. However

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development of disciplinary structure from multi-aspects by integrating three visualization methods into one more readable map. It is more intuitive to guide researchers to understand the frontiers of the subject and to concentrate limited energy to achieve a

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). An overlay science map revealed the disciplinary structure at the level of SCs, again showing the clear dominance of Biomedical Science (including 6 items or only a 1% share of the Multidisciplinary Sciences category), Material Science, Chemistry, and

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, however clear disciplinary structure is obtained. New energies as well as new technologies in traditional power generation and fuel production, and mathematical models are represented by these clusters. Cluster #4, for instance, covers batteries and

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evolution of the disciplinary structure of the population over time, we consider that each of the 10,349 researchers that were PhD holders and which were aged between 20 and 70 in 2009, enter the population once they are 25 years old. We chose this age

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disciplinary structure when there are dispersed and overlapping clusters, since broad questions transgressing disciplinary borders are addressed and several disciplines assembled in each chapter. Relations and distances between scientific

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