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Scientometrics

, Volume 40, Issue 3, pp 385–405 | Cite as

Cross-national comparison of frontier areas of research in physics using bibliometric indicators

  • S. Bhattacharya
Article

Abstract

This paper attempts to reveal the characteristics of high activity areas of world research in Physics. “Frontier areas”-areas of high activity and areas of low activity are identified. Research activities in “Frontier areas” for twenty six countries (major countries) contributing maximum research output in Physics are analyzed for two time periods (1990 & 1995). The main objective of this study is to reveal the areas of research priorities, trends, gaps and similarity of research efforts of major countries in these “frontier” areas. Key countries in these areas in both the time periods are identified. Multivariate Scaling Algorithm is applied to the countries and fields in each time period, and also simultaneously to understand the relationship between countries and fields and the dynamics of change in research priorities. Results and implications of this study for policy research is highlighted.

Keywords

Correspondence Analysis Publication Output Factorial Axis Major Field Major Country 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Frame, F. N. (1977), The international distribution of biomedical publications,Fed Proc., 36:1790–1795.Google Scholar
  2. Glänzel, W., Schubert, A., Braun, T., Rinia, E.J., Brocken, M. G. M. (1994), Physics in the European Union in the 80's, a scientometric studyFOM-Report 94, 1483 FOM, Utrecht.Google Scholar
  3. Rinia, E.J., Brocken, M.G.M., Glänzel, W. (1995), Scientometric Indicators of European Physics in the '80s. In:Proceedings of the Fifth Biennial Conference of the International Society of Scientometrics and Informetrics, Rosary College, June 7–10 1995, USA.Google Scholar
  4. Frame, J. D. (1977), Mainstream research in Latin America and the Caribbean,Intersciencia, 2:143–148.Google Scholar
  5. Schubert, A., Braun, T. (1986), Relative indicators and relational charts for comparative assessment of publication output and citation impact,Scientometrics, 9:281–291.CrossRefGoogle Scholar
  6. Carpenter, M.P., Gibbs, F., Harris, M., Irvine, J., Narin, P. (1988), Bibliometric profiles of academic institutions: An experiment to develop output indicators,Scientometrics, 14:213–233.CrossRefGoogle Scholar
  7. Barré, R. (1987) A strategic assessment of scientific performance of five countries,Science and Technology Studies, 5:32–38.Google Scholar
  8. Tijssen, R.J.W. (1992),Cartography of Science: Scientometric Mapping with Multi-Dimensional Scaling Methods, DSWO-Press, Leiden.Google Scholar
  9. Barré, R. (1991), Clustering research fields for macrostrategic analysis: A comparative specialisation approach,Scientometrics, 22:195–209.CrossRefGoogle Scholar
  10. Todorov, R. (1985), Distribution of physics literature,Scientometrics, 7:195–209.CrossRefGoogle Scholar
  11. Kruskal, J. B., Wish, M. (1978).Multidimensional Scaling, Sage Publications, California.Google Scholar
  12. Bhattacharya, S. (1996), World structure of physics: a cross national comparison,JISSI (International Journal of Scientometrics and Informetrics) 2:21–32.Google Scholar
  13. Benzecri, J. P. (1992),Correspondence Analysis Handbook, Marcel Dekker, New York.Google Scholar
  14. Greenacre, M. J. (1984),Theory and Applications of Correspondence Analysis, Academic Press, London.Google Scholar
  15. Lebart, L., Morineau, A. Warwick, K. M. (1984),Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices, John Wiley & Sons, New York.Google Scholar
  16. Nagpaul, P.S. Sharma, L. Bhattacharya, S. (1996), Transnational linkages of Indian science,Interim Report Rep-180/96, NISTADS.Google Scholar
  17. Greenacre, M. J. (1991), Interpreting multiple correspondence analysis,Applied Stochastic Models and Data Analysis, 7:195–210.Google Scholar
  18. Greenacre, M. J. (1993),Correspondence Analysis in Practice, Academic Press, London.Google Scholar

Copyright information

© Akadémiai Kiadó 1997

Authors and Affiliations

  • S. Bhattacharya
    • 1
  1. 1.Scientometrics and Informetrics GroupNational Institute of Science, Technology and Development StudiesNew Delhi(India)

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