Search (414 results, page 1 of 21)

  • × theme_ss:"Informetrie"
  1. Fiala, J.: Information flood : fiction and reality (1987) 0.06
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    Date
    24. 5.1998 12:19:18
    Source
    Thermochimica acta. 110(1987), S.11-22
  2. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.04
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    Date
    2. 3.1997 12:16:21
    22. 5.1999 19:22:35
  3. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.04
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    Date
    16. 8.2002 12:31:47
    22. 7.2006 15:22:28
  4. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.04
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    Date
    12. 3.2001 11:34:20
    20. 1.2007 17:02:22
  5. Chongde, W.; Zhe, W.: Evaluation of the models for Bradford's law (1998) 0.03
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    Date
    2. 3.1997 12:16:21
    22. 5.1999 19:12:28
  6. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.03
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    Date
    4.12.2006 12:12:22
  7. Tijssen, R.J.W.; Wijk, E. van: ¬The global science base of information and communication technologies : bibliometric analysis of ICT research papers (1998) 0.03
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    Date
    2. 3.1997 12:16:21
    22. 5.1999 19:26:54
  8. Scholarly metrics under the microscope : from citation analysis to academic auditing (2015) 0.03
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    Date
    22. 1.2017 17:12:50
  9. Falkingham, L.T.; Reeves, R.: Context analysis : a technique for analysing research in a field, applied to literature on the management of R&D at the section level (1998) 0.02
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    Date
    2. 3.1997 12:16:21
    22. 5.1999 19:18:46
  10. Campanario, J.M.: Large increases and decreases in journal impact factors in only one year : the effect of journal self-citations (2011) 0.02
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    Date
    22. 1.2011 12:53:00
  11. Vieira, E.S.; Cabral, J.A.S.; Gomes, J.A.N.F.: Definition of a model based on bibliometric indicators for assessing applicants to academic positions (2014) 0.02
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    Abstract
    A model based on a set of bibliometric indicators is proposed for the prediction of the ranking of applicants to an academic position as produced by a committee of peers. The results show that a very small number of indicators may lead to a robust prediction of about 75% of the cases. We start with 12 indicators to build a few composite indicators by factor analysis. Following a discrete choice model, we arrive at 3 comparatively good predicative models. We conclude that these models have a surprisingly good predictive power and may help peers in their selection process.
    Date
    18. 3.2014 18:22:21
  12. Ridenour, L.: Boundary objects : measuring gaps and overlap between research areas (2016) 0.02
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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
    12. 3.2016 14:00:12
  13. Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009) 0.02
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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
  14. Egghe, L.; Rousseau, R.: Averaging and globalising quotients of informetric and scientometric data (1996) 0.02
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    Date
    6. 4.1996 12:46:16
    Source
    Journal of information science. 22(1996) no.3, S.165-170
  15. Siddiqui, M.A.: ¬A bibliometric study of authorship characteristics in four international information science journals (1997) 0.02
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    Abstract
    Reports results of a bibliometric study of the authorship characteristics of articles published in 4 major information science periodicals: JASIS, Information technology and libraries, Journal of information science, and Program. The aim was to determine the details of their authors, such as: sex, occupation, affiliation, geographic distribution, and institutional affiliation. A total of 163 articles published in 1993 and written by 294 authors were analyzed. Results indicate that: men (206 or 70%) publish 3.0 times more articles than women (69 or 23,5%). Schools of library and information science contributed the most authors. The majority of authors came from the USA (148 or 50,3%), with the Midwest region claiming the largest share (110 or 25,0%). Academic libraries (110 or 37,4%) account for the major share of library publication. 12 schools of library and information science, in the USA, contributed 32 authors (50,0%) and assistant professors (25 or 39,1%) publish the most in these library schools. Male school of library and information science authors publish 1,6 times more than their female counterparts
    Source
    International forum on information and documentation. 22(1997) no.3, S.3-23
  16. Raan, A.F.J. van: Scaling rules in the science system : influence of field-specific citation characteristics on the impact of research groups (2008) 0.02
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    Date
    22. 3.2009 19:03:12
  17. Ajiferuke, I.; Lu, K.; Wolfram, D.: ¬A comparison of citer and citation-based measure outcomes for multiple disciplines (2010) 0.02
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    Date
    28. 9.2010 12:54:22
  18. Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014) 0.02
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    Date
    22. 8.2014 17:12:35
  19. Thelwall, M.; Maflahi, N.: Guideline references and academic citations as evidence of the clinical value of health research (2016) 0.02
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    Date
    19. 3.2016 12:22:00
  20. Thelwall, M.; Sud, P.: Mendeley readership counts : an investigation of temporal and disciplinary differences (2016) 0.02
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    Date
    16.11.2016 11:07:22
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.12, S.3036-3050

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