Search (37 results, page 1 of 2)

  • × theme_ss:"Informetrie"
  • × year_i:[1980 TO 1990}
  1. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.06
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    Source
    Information processing and management. 22(1986), S.417-419
    Type
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  2. Fiala, J.: Information flood : fiction and reality (1987) 0.06
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    Source
    Thermochimica acta. 110(1987), S.11-22
    Type
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  3. King, J.: ¬A review of bibliometric and other indicators and their role in research evaluation (1987) 0.00
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  4. Vinkler, P.: ¬A quasi-quantitative citation model (1987) 0.00
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  5. Peritz, B.C.: Citation characteristics in library science : some further results from a bibliometric survey (1981) 0.00
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  6. Ziman, J.M.: ¬The proliferation of scientific literature : a natural process (1980) 0.00
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  7. Hubert, J.J.: General bibliometric models (1981/82) 0.00
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  8. Peritz, B.C.: ¬A classification of citation roles for the social sciences and related fields (1983) 0.00
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  9. McCain, K.W.: Co-cited author mapping as a valid representation of intellectual structure (1986) 0.00
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  10. Davies, R.: Q-analysis : a methodology for librarianship and information science (1985) 0.00
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    Abstract
    Q-analysis is a methodology for investigating a wide range of structural phenomena. Strutures are defined in terms of relations between members of sets and their salient features are revealed using techniques of algebraic topology. However, the basic method can be mastered by non-mathematicians. Q-analysis has been applied to problems as diverse as discovering the rules for the diagnosis of a rare disease and the study of tactics in a football match. Other applications include some of interest to librarians and information scientists. In bibliometrics, Q-analysis has proved capable of emulating techniques such as bibliographic coupling, co-citation analysis and co-word analysis. It has also been used to produce a classification scheme for television programmes based on different principles from most bibliographic classifications. This paper introduces the basic ideas of Q-analysis. Applications relevant to librarianship and information science are reviewed and present limitations of the approach described. New theoretical advances including some in other fields such as planning and design theory and artificial intelligence may lead to a still more powerful method of investigating structure
    Type
    a
  11. Vasiljev, A.: ¬The law of requisite variety as applied to subject indexing and retrieval (1989) 0.00
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  12. Schulz-DuBois, E.O.: Arbeiten deutscher Wissenschaftler, die weltweit am häufigsten zitiert wurden (1984) 0.00
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  13. Small, H.; Sweeney, E.: Clustering the Science Citation Index using co-citations (1985) 0.00
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  14. Lawani, S.M.: Bibliometrics: its theoretical foundations, methods and applications (1981) 0.00
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  15. Cozzens, S.E.: What do citations count? : the rhetoric-first model (1989) 0.00
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  16. Pao, M.L.: ¬An empirical examination of Lotka's law (1986) 0.00
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  17. Folly, G.; Hajtman, B.; Nagy, J.I.; Ruff, I.: Some methodological problems in ranking scientists by citation analysis (1981) 0.00
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  18. Rees-Potter, L.K.: Dynamic thesaural systems : a bibliometric study of terminological and conceptual change in sociology and economics with application to the design of dynamic thesaural systems (1989) 0.00
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    Abstract
    Thesauri have been used in the library and information science field to provide a standard descriptor language for indexers or searchers to use in an informations storage and retrieval system. One difficulty has been the maintenance and updating of thesauri since terms used to describe concepts change over time and vary between users. This study investigates a mechanism by which thesauri can be updated and maintained using citation, co-citation analysis and citation context analysis.
    Type
    a
  19. Kinnucan, M.T.: Statistical methods in information science research (1986) 0.00
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  20. White, H.D.; McCain, W.: Bibliometrics (1989) 0.00
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