Search (207 results, page 1 of 11)

  • × theme_ss:"Informetrie"
  1. Ohly, P.: Dimensions of globality : a bibliometric analysis (2016) 0.05
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    Date
    4. 9.2014 14:11:40
    20. 1.2019 11:22:31
  2. Campanario, J.M.: Large increases and decreases in journal impact factors in only one year : the effect of journal self-citations (2011) 0.04
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    Abstract
    I studied the factors (citations, self-citations, and number of articles) that influenced large changes in only 1 year in the impact factors (IFs) of journals. A set of 360 instances of journals with large increases or decreases in their IFs from a given year to the following was selected from journals in the Journal Citation Reports from 1998 to 2007 (40 journals each year). The main factor influencing large changes was the change in the number of citations. About 54% of the increases and 42% of the decreases in the journal IFs were associated with changes in the journal self-citations.
    Date
    22. 1.2011 12:53:00
  3. Albarrán, P.; Ruiz-Castillo, J.: References made and citations received by scientific articles (2011) 0.04
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    Abstract
    This article studies massive evidence about references made and citations received after a 5-year citation window by 3.7 million articles published in 1998 to 2002 in 22 scientific fields. We find that the distributions of references made and citations received share a number of basic features across sciences. Reference distributions are rather skewed to the right while citation distributions are even more highly skewed: The mean is about 20 percentage points to the right of the median, and articles with a remarkable or an outstanding number of citations represent about 9% of the total. Moreover, the existence of a power law representing the upper tail of citation distributions cannot be rejected in 17 fields whose articles represent 74.7% of the total. Contrary to the evidence in other contexts, the value of the scale parameter is above 3.5 in 13 of the 17 cases. Finally, power laws are typically small, but capture a considerable proportion of the total citations received.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.40-49
  4. Dobrota, M.; Dobrota, M.: ARWU ranking uncertainty and sensitivity : what if the award factor was Excluded? (2016) 0.04
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    Date
    22. 1.2016 14:40:53
  5. Ridenour, L.: Boundary objects : measuring gaps and overlap between research areas (2016) 0.04
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    Abstract
    The aim of this paper is to develop methodology to determine conceptual overlap between research areas. It investigates patterns of terminology usage in scientific abstracts as boundary objects between research specialties. Research specialties were determined by high-level classifications assigned by Thomson Reuters in their Essential Science Indicators file, which provided a strictly hierarchical classification of journals into 22 categories. Results from the query "network theory" were downloaded from the Web of Science. From this file, two top-level groups, economics and social sciences, were selected and topically analyzed to provide a baseline of similarity on which to run an informetric analysis. The Places & Spaces Map of Science (Klavans and Boyack 2007) was used to determine the proximity of disciplines to one another in order to select the two disciplines use in the analysis. Groups analyzed share common theories and goals; however, groups used different language to describe their research. It was found that 61% of term words were shared between the two groups.
    Date
    2. 9.2014 19:19:40
  6. Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009) 0.04
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    Abstract
    Collaboration is a major research policy objective, but does it deliver higher quality research? This study uses citation analysis to examine the Web of Science (WoS) Information Science & Library Science subject category (IS&LS) to ascertain whether, in general, more highly cited articles are more highly collaborative than other articles. It consists of two investigations. The first investigation is a longitudinal comparison of the degree and proportion of collaboration in five strata of citation; it found that collaboration in the highest four citation strata (all in the most highly cited 22%) increased in unison over time, whereas collaboration in the lowest citation strata (un-cited articles) remained low and stable. Given that over 40% of the articles were un-cited, it seems important to take into account the differences found between un-cited articles and relatively highly cited articles when investigating collaboration in IS&LS. The second investigation compares collaboration for 35 influential information scientists; it found that their more highly cited articles on average were not more highly collaborative than their less highly cited articles. In summary, although collaborative research is conducive to high citation in general, collaboration has apparently not tended to be essential to the success of current and former elite information scientists.
    Date
    22. 3.2009 12:43:51
  7. Castanha, R.C.G.; Wolfram, D.: ¬The domain of knowledge organization : a bibliometric analysis of prolific authors and their intellectual space (2018) 0.03
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    Date
    2. 9.2014 19:19:40
    Source
    Knowledge organization. 45(2018) no.1, S.13-22
  8. Freitas, J.L.; Gabriel Jr., R.F.; Bufrem, L.S.: Theoretical approximations between Brazilian and Spanish authors' production in the field of knowledge organization in the production of journals on information science in Brazil (2012) 0.02
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    Content
    Beitrag einer Section "Selected Papers from the 1ST Brazilian Conference on Knowledge Organization And Representation, Faculdade de Ciência da Informação, Campus Universitário Darcy Ribeiro Brasília, DF Brasil, October 20-22, 2011" Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_39_2012_3_g.pdf.
    Date
    19. 5.2012 15:40:03
  9. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.02
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    Source
    Information processing and management. 22(1986), S.417-419
  10. Nicolaisen, J.: Citation analysis (2007) 0.02
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    Date
    13. 7.2008 19:53:22
  11. Fiala, J.: Information flood : fiction and reality (1987) 0.02
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    Source
    Thermochimica acta. 110(1987), S.11-22
  12. Kostoff, R.N.; Eberhart, H.J.; Toothman, D.R.: Hypersonic and supersonic flow roadmaps using bibliometrics and database tomography (1999) 0.02
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    Date
    17. 1.2000 12:23:40
  13. Bornmann, L.: What do altmetrics counts mean? : a plea for content analyses (2016) 0.02
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    Date
    19. 3.2016 12:40:15
  14. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.02
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    Date
    22. 5.1999 19:22:35
  15. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.02
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    Date
    22. 7.2006 15:22:28
  16. Diodato, V.: Dictionary of bibliometrics (1994) 0.02
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    Footnote
    Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
  17. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.02
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    Date
    22. 7.2006 18:55:29
  18. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.02
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    Date
    22. 7.2006 18:55:55
  19. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.02
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    Date
    20. 1.2007 17:02:22
  20. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.02
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    Date
    18. 3.2014 19:13:22

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