Search (6 results, page 1 of 1)

  • × author_ss:"Garfield, E."
  • × theme_ss:"Informetrie"
  1. Garfield, E.; Paris, S.W.; Stock, W.G.: HistCite(TM) : a software tool for informetric analysis of citation linkage (2006) 0.00
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.8, S.391-400
  2. Abt, H.A.; Garfield, E.: Is the relationship between numbers of references and paper lengths the same for all sciences? (2002) 0.00
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    Abstract
    It has been shown in the physical sciences that a paper's length is related to its number of references in a linear manner. Abt and Garfield here look at the life and social sciences with the thought that if the relation holds the citation counts will provide a measure of relative importance across these disciplines. In the life sciences 200 research papers from 1999-2000 were scanned in each of 10 journals to produce counts of 1000 word normalized pages. In the social sciences an average of 70 research papers in nine journals were scanned for the two-year period. Papers of average length in the various sciences have the same average number of references within plus or minus 17%. A look at the 30 to 60 papers over the two years in 18 review journals indicates twice the references of research papers of the same length.
  3. Garfield, E.: Essays of an information scientist (1977-) 0.00
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    Footnote
    U.a. Wiedergabe der Beiträge von E. Garfield in der Rubrik 'Current comments' in den 'Current contents'
  4. Garfield, E.; Sher, I.H.: New factors in the evaluation of scientific literature literature through citation indexing (1963) 0.00
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  5. Pudovkin, A.I.; Garfield, E.: Algorithmic procedure for finding semantically related journals (2002) 0.00
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    Abstract
    Journal Citation Reports provides a classification of journals most heavily cited by a given journal and which most heavily cite that journal, but size variation is not taken into account. Pudovkin and Garfield suggest a procedure for meeting this difficulty. The relatedness of journal i to journal j is determined by the number of citations from journal i to journal j in a given year normalized by the product of the papers published in the j journal in that year times the number of references cited in the i journal in that year. A multiplier of ten to the sixth is suggested to bring the values into an easily perceptible range. While citations received depend upon the overall cumulative number of papers published by a journal, the current year is utilized since that data is available in JCR. Citations to current year papers would be quite low in most fields and thus not included. To produce the final index, the maximum of the A citing B value, and the B citing A value is chosen and used to indicate the closeness of the journals. The procedure is illustrated for the journal Genetics.
  6. Garfield, E.; Pudovkin, A.I.; Istomin, V.S.: Why do we need algorithmic historiography? (2003) 0.00
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    Abstract
    This article discusses the rationale for creating historiographs of scholarly topics using a new program called HistCite(TM), which produces a variety of analyses to aid the historian identify key events (papers), people (authors), and journals in a field. By creating a genealogic profile of the evolution, the program aids the scholar in evaluating the paradigm involved.