Proceeding Brapci-Revistas

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References

  • BORNER, K.., CHEN, C.., BOYACK, K. Visualizing Knowledge Domains. Annual Review of Information Science and Technology (ARIST), v.37, p. 179–255, 2003.
  • BRAUN,T. Bibliometric indicators for the evaluation of universities - intelligence from the quantitation of the scientific literature. Scientometrics, vol. 45, No. 3, 425-432, 1999.
  • CHEN, C.., PAUL, R.., O’KEEFE, B. Fitting the Jigsaw of Citation: information visualization in domain analysis. Journal of the American Society for Information Science and Technology (JASIST), 53(4): 315-330, 2001.
  • FIGUEIREDO, A.M.D et. al. Espaço SIGMA. Uma Visão Integrada da Atividade Acadêmica: Descrição Geral. Rio de Janeiro: Scire-COPPE/UFRJ, 35p, 2006.
  • GARFIEL, E. Citation Indexing: Its Theory and Application in Science, Technology and Humanities. New York: Wiley, 1979.
  • GLANZEL, W., SCHMOCH, U. Handbooks of quantitative science and technology research. The use of publication and patent statistics in studies of Samp.,T systems. Dordrecht: Kluwer Academics Publishers., pp. 373-388, 2004.
  • HJORLAND, B.., ALBRECHTSEN, H. Toward a new horizon in information science: domain analysis. Journal of the American Society for Information Science, 46(6), 400-425, 1995.
  • LETA, J. et al. Science in Brazil. Part 2. Scientometrics, Vol. 67, No. 187–105, 2006.
  • MCCAIN, K. W.., VERNER, J. M.., HISLOP, G. W.., EVANCO, W.., COLE, V. Combining bibliometric and knowledge elicitation techniques to map a knowledge domain. 2006.
  • MOED, H.F.., De BRUIN, R.., Van LEEUWEN, T. New Bibliometrics Tools for the assessment of national research performance: database description, overview of indicators and first applications. Scientometrics, 33, pp. 381-442, 1995.
  • MOYA-ANEGÓN F et. al. Visualizacion y analisis de la estrucutura cientifica española: ISI Web of Science 1990-2005. El Profesional de la Información. v.15, n.4, 2006.
  • PRICE, D. S. Networks of Scientific Papers. Science, 149, pp.510-515, 1965.
  • SMALL, H. Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of the American Society for Information Science (JASIS). 24, pp. 265-269, 1973.
  • SMALL, H., GRIFFITH, B. The structure of scientific literature, I: identifying and graphing specialties. Science Studies, 4, pp. 17-40, 1974.
  • SPINAK, E. Indicadores Cienciometricos. Acimed 9(Suppl.): 42-9, 2001.
  • VAN LEEUWEN, T.N. Descriptive versus evaluative bibliometrics. In: MOED, H.F., GLANZEL, W., SCHMOCH, U. (Eds.). Handbooks of quantitative science and technology research. The use of publication and patent statistics in studies of Samp.,T systems. Dordrecht: Kluwer Academics Publishers., pp. 373-388, 2004.
  • VAN RAAN, A.F. Measuring Science. In: MOED, H., GLANZEL, W., SCHMOCH, U. (eds). Handbook of quantitative science and technology research. The use of publication and patent statistics in studies of Samp.,T systems. Dordrecht (the Netherlands): Kluwer Academic Publishers, 19-50, 2004.
  • VESSURI, H. El proceso de institucionalización. J. Salomón, amp., C. Sachs (Comp.). Una búsqueda incierta. Ciencia, tecnología y desarrollo (pp. 199-234). México: Fondo de Cultura Económica/UNU, 1995.
  • WHITE, H.., McCAIN, K. Visualization of Literatures. Annual Review of Information Systems and Technology (ARIST) 32, 99-168, 1997.
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