Search (451 results, page 2 of 23)

  • × theme_ss:"Informetrie"
  • × year_i:[2000 TO 2010}
  1. He, Z.-L.: International collaboration does not have greater epistemic authority (2009) 0.02
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    Date
    26. 9.2009 11:22:05
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.10, S.2151-2164
  2. Costas, R.; Bordons, M.; Leeuwen, T.N. van; Raan, A.F.J. van: Scaling rules in the science system : Influence of field-specific citation characteristics on the impact of individual researchers (2009) 0.02
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    Date
    22. 3.2009 19:02:48
    Footnote
    Vgl. auch: Raan, A.F.J. van: Scaling rules in the science system: influence of field-specific citation characteristics on the impact of research groups. In: Journal of the American Society for Information Science and Technology. 59(2008) no.4, S.565-576.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.740-753
  3. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.02
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    Date
    22. 7.2006 16:11:05
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.359-377
  4. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.02
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    Abstract
    Although the analysis of citations in the scholarly literature is now an established and relatively well understood part of information science, not enough is known about citations that can be found on the Web. In particular, are there new Web types, and if so, are these trivial or potentially useful for studying or evaluating research communication? We sought evidence based upon a sample of 1,577 Web citations of the URLs or titles of research articles in 64 open-access journals from biology, physics, chemistry, and computing. Only 25% represented intellectual impact, from references of Web documents (23%) and other informal scholarly sources (2%). Many of the Web/URL citations were created for general or subject-specific navigation (45%) or for self-publicity (22%). Additional analyses revealed significant disciplinary differences in the types of Google unique Web/URL citations as well as some characteristics of scientific open-access publishing on the Web. We conclude that the Web provides access to a new and different type of citation information, one that may therefore enable us to measure different aspects of research, and the research process in particular; but to obtain good information, the different types should be separated.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1631-1644
  5. Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008) 0.02
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    Date
    22. 6.2008 12:54:12
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 61(2008) H.2, S.14-20
  6. Meho, L.I.; Rogers, Y.: Citation counting, citation ranking, and h-index of human-computer interaction researchers : a comparison of Scopus and Web of Science (2008) 0.02
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    Abstract
    This study examines the differences between Scopus and Web of Science in the citation counting, citation ranking, and h-index of 22 top human-computer interaction (HCI) researchers from EQUATOR - a large British Interdisciplinary Research Collaboration project. Results indicate that Scopus provides significantly more coverage of HCI literature than Web of Science, primarily due to coverage of relevant ACM and IEEE peer-reviewed conference proceedings. No significant differences exist between the two databases if citations in journals only are compared. Although broader coverage of the literature does not significantly alter the relative citation ranking of individual researchers, Scopus helps distinguish between the researchers in a more nuanced fashion than Web of Science in both citation counting and h-index. Scopus also generates significantly different maps of citation networks of individual scholars than those generated by Web of Science. The study also presents a comparison of h-index scores based on Google Scholar with those based on the union of Scopus and Web of Science. The study concludes that Scopus can be used as a sole data source for citation-based research and evaluation in HCI, especially when citations in conference proceedings are sought, and that researchers should manually calculate h scores instead of relying on system calculations.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.11, S.1711-1726
  7. Shibata, N.; Kajikawa, Y.; Takeda, Y.; Matsushima, K.: Comparative study on methods of detecting research fronts using different types of citation (2009) 0.02
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    Date
    22. 3.2009 17:52:50
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.571-580
  8. Mukherjee, B.: Do open-access journals in library and information science have any scholarly impact? : a bibliometric study of selected open-access journals using Google Scholar (2009) 0.02
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    Date
    22. 3.2009 17:54:59
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.581-594
  9. Wettlauf der Wissenschaft (2004) 0.01
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    Source
    Online Mitteilungen. 2004, Nr.79, S.22-23 [=Mitteilungen VÖB 57(2004) H.2]
  10. Tonta, Y.; Ünal, Y.: Scatter of journals and literature obsolescence reflected in document delivery requests (2005) 0.01
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    Date
    20. 3.2005 10:54:22
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.1, S.84-94
  11. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.01
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    Date
    9. 7.2006 10:22:35
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.6, S.549-568
  12. Ball, R.: Wissenschaftsindikatoren im Zeitalter digitaler Wissenschaft (2007) 0.01
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    Date
    23.12.2007 19:22:21
  13. ¬The Web of knowledge : Festschrift in honor of Eugene Garfield (2000) 0.00
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    Footnote
    Rez. in: Knowledge organization 28(2001) no.1, S.45-46 (M.J. López Huertas u. E. Jiménez-Contreras); Password 2002, H.3, S.14-19 (W.G. Stock)
    Pages
    564 S
    Type
    s
  14. Ding, Y.; Chowdhury, G.C.; Foo, S.: Bibliometric cartography of information retrieval research by using co-word analysis (2001) 0.00
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    Source
    Information processing and management. 37(2001) no.6, S.817-842
  15. Vinkler, P.: ¬The institutionalization of scientific information : a scientometric model (ISI-S Model) (2002) 0.00
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    Abstract
    A scientometric model (ISI-S model) is introduced for describing the institutionalization process of scientific information. The central concept of ISI-S is that the scientific information published may develop with time through permanent evaluation and modification processes toward a cognitive consensus of distinguished authors of the respective scientific field or discipline. ISI-S describes the information and knowledge systems of science as a global network of interdependent information and knowledge clusters that are dynamically changing by their content and size. ISI-S assumes sets of information with short- or long-term impact and information integrated into the basic scientific knowledge or common knowledge. The type of the information sources (e.g., lecture, journal paper, review, monograph, book, textbook, lexicon) and the length of the impact are related to the grade of institutionalization. References are considered as proofs of manifested impact. The relative and absolute development of scientific knowledge seems to be slower than the increase of the number of publications.
    Source
    Library trends. 50(2002) no.3, S.553-569
  16. Christoffersen, M.: Identifying core documents with a multiple evidence relevance filter (2004) 0.00
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    Source
    Scientometrics. 61(2004) no.3, S.385-394
  17. Glänzel, W.; Moed, H.F.: Journal impact measures in bibliometric research (2002) 0.00
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    Source
    Scientometrics. 53(2002) no.2, S.171-193
  18. He, Y.; Hui, S.C.: Mining a web database for author cocitation analysis (2002) 0.00
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    Source
    Information processing and management. 38(2002) no.4, S.491-508
  19. Cronin, B.: Bibliometrics and beyond : some thoughts on web-based citation analysis (2001) 0.00
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    Source
    Journal of information science. 27(2001) no.1, S.1-7
  20. Liu, Z.; Wang, C.: Mapping interdisciplinarity in demography : a journal network analysis (2005) 0.00
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    Source
    Journal of information science. 31(2005) no.4, S.308-316

Authors

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