In this paper we report on the results of an exploratory study of knowledge exchange between disciplines and subfields of science, based on bibliometric methods. The goal of this analysis is twofold. Firstly, we consider knowledge exchange between disciplines at a global level, by analysing cross-disciplinary citations in journal articles, based on the world publication output in 1999. Among others a central position of the Basic Life Sciences within the Life Sciences and of Physics within the Exact Sciences is shown. Limitations of analyses of interdisciplinary impact at the journal level are discussed. A second topic is a discussion of measures which may be used to quantify the rate of knowledge transfer between fields and the importance of work in a given field or for other disciplines. Two measures are applied, which appear to be proper indicators of impact of research on other fields. These indicators of interdisciplinary impact may be applied at other institutional levels as well.
KeywordsAcademic Staff Research Assessment Exercise Commercial Search Engine Link Count Target Institution
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- 1.R. R. Larson, Bibliometrics of the world wide web: An exploratory analysis of the intellectual structure of cyberspace, In Proceedings of the 1996 Annual ASIS Meeting, Baltimore (1996) pp. 71–79.Google Scholar
- 3.R. Rousseau, Sitations: an exploratory study, Cybermetrics, 1 (1997). Available: http://www.cindoc.csic.es/cybermetrics/articles/v1i1p1.htmlGoogle Scholar
- 5.E. Garfield, The impact factor, Current Contents, (1994) June 20. Available: http://www.isinet.com/isi/hot/essays/journalcitationreports/7.htmlGoogle Scholar
- 6.M. Thelwall, Web Impact Factors and search engine coverage, Journal of Documentation, 56(2) (2000) 185–189.Google Scholar
- 7.A. G. Smith, M. Thelwall, Web Impact Factors and university research links, In: Proceedings of the 8 th International Conference on Scientometrics and Informetrics, Vol. 2 (2001) pp. 657–664, Sydney: Bibliometric and Informetric Research Group, UNSW.Google Scholar
- 8.A. G. Smith, A tale of two web spaces: comparing sites using web impact factors, Journal of Documentation, 55(5) (1999) 577–592.Google Scholar
- 11.World Higher Education Database 2000 (2000) London: Macmillan Reference. [CD-ROM]Google Scholar
- 12.M. Thelwall, Extracting macroscopic information from the web, Journal of the American Society for Information Science and Technology, (2002, to appear).Google Scholar
- 13.M. Thelwall, Sources of links for academic Web Impact Factor calculations, Journal of Documentation, (2002, to appear).Google Scholar
- 14.Asiaweek , Asia's best universities 2000, (2000). Available: http://www.asiaweek.com/asiaweek/features/universities2000/rank_country/Google Scholar
- 15.Detya, Higher Education Report for the 2000 to 2002 Triennium, (2001). Available: http://www.detya.gov.au/highered/he_report/2000_2002/html/3_8.htmGoogle Scholar
- 17.R. Rousseau, Daily time series of common single word searches in AltaVista and NorthernLight, Cybermetrics, 2/3 (1998/9). Available: http://www.cindoc.csic.es/cybermetrics/articles/v2i1p2.htmlGoogle Scholar
- 18.J. Bar-Ilan, How much information the search engines disclose on the links to a web page? — A case study of the Cybermetrics home page, In: Proceedings of the 8th International Conference on Scientometrics & Informetrics, Sydney 16–20 July 2001 (2001) pp. 63–73. Sydney: Bibliometric and Informetric Research Group, UNSW.Google Scholar