Search (209 results, page 1 of 11)

  • × theme_ss:"Informetrie"
  1. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.09
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    Date
    18. 3.2014 19:13:22
  2. Chongde, W.; Zhe, W.: Evaluation of the models for Bradford's law (1998) 0.07
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    Date
    22. 5.1999 19:12:28
  3. Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.04
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    Date
    3. 1.2007 17:22:03
  4. Huang, M.-H.; Huang, W.-T.; Chang, C.-C.; Chen, D. Z.; Lin, C.-P.: The greater scattering phenomenon beyond Bradford's law in patent citation (2014) 0.04
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    Date
    22. 8.2014 17:11:29
  5. Wu, Q.: ¬The w-index : a measure to assess scientific impact by focusing on widely cited papers (2010) 0.04
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    Abstract
    Based on the principles of the h-index, I propose a new measure, the w-index, as a particularly simple and more useful way to assess the substantial impact of a researcher's work, especially regarding excellent papers. The w-index can be defined as follows: If w of a researcher's papers have at least 10w citations each and the other papers have fewer than 10(w+1) citations, that researcher's w-index is w. The results demonstrate that there are noticeable differences between the w-index and the h-index, because the w-index plays close attention to the more widely cited papers. These discrepancies can be measured by comparing the ranks of 20 astrophysicists, a few famous physical scientists, and 16 Price medalists. Furthermore, I put forward the w(q)-index to improve the discriminatory power of the w-index and to rank scientists with the same w. The factor q is the least number of citations a researcher with w needed to reach w+1. In terms of both simplicity and accuracy, the w-index or w(q)-index can be widely used for evaluation of scientists, journals, conferences, scientific topics, research institutions, and so on.
    Object
    W-index
  6. Chang, Y.-W.; Huang, M.-H.: ¬A study of the evolution of interdisciplinarity in library and information science : using three bibliometric methods (2012) 0.04
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.1, S.22-33
  7. Vakkari, P.; Järvelin, K.; Chang, Y.-W.: ¬The association of disciplinary background with the evolution of topics and methods in Library and Information Science research 1995-2015 (2023) 0.04
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    Date
    22. 6.2023 18:15:06
  8. Schoepflin, U.; Glänzel, W.: Mehrwert von bibliographischen Datenbanken (1994) 0.03
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    Source
    Mehrwert von Information - Professionalisierung der Informationsarbeit: Proceedings des 4. Internationalen Symposiums für Informationswissenschaft (ISI'94), Graz, 2.-4. November 1994. Hrsg.: W. Rauch u.a
  9. White, H.D.; McCain, W.: Bibliometrics (1989) 0.03
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  10. Stock, W.: Informetrische Vermessung der Forschung und Entwicklung eines Landes : beispielhafte Resultate und Probleme (1992) 0.03
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    Source
    Information und Dokumentation in den 90er Jahren: neue Herausforderung, neue Technologien. Deutscher Dokumentartag 1991, Universität Ulm, 30.9.-2.10.1991. Hrsg.: W. Neubauer u. K.-H. Meier
  11. Herfurth, M.: Voraussetzungen und Entwicklungsperspektiven scientometrischer Analysen auf der Grundlage von Datenbanken (1994) 0.03
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    Source
    Qualität und Information: Deutscher Dokumentartag 1993; Friedrich-Schiller-Universität Jena, 28.-30.9.1993. Hrsg.: W. Neubauer
  12. Umstätter, W.: Informetrische Hilfe durch das 'intelligente Terminal' (1986) 0.03
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  13. Glänzel, W.; Moed, H.F.: Journal impact measures in bibliometric research (2002) 0.03
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  14. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.03
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    Source
    Information processing and management. 22(1986), S.417-419
  15. Nicolaisen, J.: Citation analysis (2007) 0.03
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    Date
    13. 7.2008 19:53:22
  16. Fiala, J.: Information flood : fiction and reality (1987) 0.03
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    Source
    Thermochimica acta. 110(1987), S.11-22
  17. Ahlgren, P.; Järvelin, K.: Measuring impact of twelve information scientists using the DCI index (2010) 0.03
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    Abstract
    The Discounted Cumulated Impact (DCI) index has recently been proposed for research evaluation. In the present work an earlier dataset by Cronin and Meho (2007) is reanalyzed, with the aim of exemplifying the salient features of the DCI index. We apply the index on, and compare our results to, the outcomes of the Cronin-Meho (2007) study. Both authors and their top publications are used as units of analysis, which suggests that, by adjusting the parameters of evaluation according to the needs of research evaluation, the DCI index delivers data on an author's (or publication's) lifetime impact or current impact at the time of evaluation on an author's (or publication's) capability of inviting citations from highly cited later publications as an indication of impact, and on the relative impact across a set of authors (or publications) over their lifetime or currently.
  18. Danell, R.: Can the quality of scientific work be predicted using information on the author's track record? (2011) 0.03
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    Abstract
    Many countries are moving towards research policies that emphasize excellence; consequently; they develop evaluation systems to identify universities, research groups, and researchers that can be said to be "excellent." Such active research policy strategies, in which evaluations are used to concentrate resources, are based on an unsubstantiated assumption that researchers' track records are indicative of their future research performance. In this study, information on authors' track records (previous publication volume and previous citation rate) is used to predict the impact of their articles. The study concludes that, to a certain degree, the impact of scientific work can be predicted using information on how often an author's previous publications have been cited. The relationship between past performance and the citation rate of articles is strongest at the high end of the citation distribution. The implications of these results are discussed in the context of a cumulative advantage process.
  19. Gerdel, W.: Datentechnische Methoden in der Referenzanalyse (1980) 0.02
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  20. Nacke, O.: Lexikometrie, ein Verfahren zur Profilanalyse multidimensionaler Probleme (1996) 0.02
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    Source
    Die digitale Revolution: Deutscher Dokumentartag 1996, Neue Universität Heidelberg, 24.-26.9.1996. Hrsg.: W. Neubauer

Years

Languages

  • e 179
  • d 29
  • ro 1
  • More… Less…

Types

  • a 202
  • s 4
  • el 3
  • m 3
  • More… Less…