Abstract
International collaboration is becoming an increasingly significant issue in science. During the last few years, a large number of bibliometric studies of co-authorships have been reported. Mostly, these studies have concentrated on country-to-country collaboration, revealing general patterns of interaction. In this study we analyze international collaborative patterns as indicated in the Indian publications by tracking out multi author publications as given in Science Citation Index (SCI) database. Correspondence analysis is used for analysis and interpretation of the results.
According to correspondence analysis of the data set, Physics, Chemistry, Clinical medicine are the first, second and third largest subjects having international collaboration. USA, Italy, Germany, France, England are the top five countries with which India is collaborating. The data set shows an association between Physics and Italy, Switzerland, Algeria, Finland, South Korea, Russia, Netherlands contrasting an association between Biology & Biochemistry, Immunology, Ecology & Environment, Geosciences, Multidisciplinary subjects and England, Japan, Canada. It also shows an association between Agriculture and Philippines, Canada, Denmark in contrast to an association between Chemistry and Malaysia, Germany, France. An association between Clinical medicine, Astrophysics and England, Sweden, USA, New Zealand in contrast to an association between Agriculture and Canada, Philippines, Denmark is shown. An association between Engineering, Mathematics, Computer Science, Neuroscience and Singapore, Canada, USA in contrast to an association between Chemistry, Astrophysics and Malaysia, Spain is shown. This association of collaborating countries and disciplines almost tallies with the publication productivity of these countries in different disciplines.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Anderson, A. E., Persson, O. (1993), Networking scientists. Annals of Regional Science, 27: 11–21.
Beh, E. J. (1999), Correspondence analysis of ranked data. Communication in Statistics — Theory and Methods, 28: 1511–1533.
Benzecri, J. P. (1992), Correspondence Analysis Handbook. (Series: Statistics, textbooks and monographs, v. 125) (Translated by Gopalan, T. K.). Marcel Dekker, Inc, New York.
Doré, J.-C. (2001), How to analyse publication time trends by correspondence factor analysis: Analysis of publications by 48 countries in 18 disciplines over 12 years. Journal of American Society for Information Science, 52: 763–769.
Doré, J.-C, Ojasoo, T., Okubo, Y., Durand, T., Dudognon, G., Miquel, J. F. (1996), Correspondence factor analysis of the publication patterns of 48 countries over the period 1981–1992. Journal of American Society for Information Science, 47: 588–602.
Katz, J. A. (1994), Geographical proximity and scientific collaboration. Scientometrics, 31: 31–33.
King, D. A. (2004), The scientific impact of nations. Nature, 430: 311–316.
Melin, G. (1996), The networking university — A study of a Swedish university using institutional co-authorships as an indicator. Scientometrics, 35: 15–31.
Qin, J. (1994), An investigation of research collaboration in the sciences through the Philosophical Transactions. Scientometrics, 29: 219–238.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Anuradha, K.T., Urs, S.R. Bibliometric indicators of Indian research collaboration patterns: A correspondence analysis. Scientometrics 71, 179–189 (2007). https://doi.org/10.1007/s11192-007-1657-4
Received:
Issue Date:
DOI: https://doi.org/10.1007/s11192-007-1657-4