Search (173 results, page 9 of 9)

  • × language_ss:"e"
  • × theme_ss:"Citation indexing"
  1. White, H.D.: Citation analysis : history (2009) 0.00 
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    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  2. Heneberg, P.: Lifting the fog of scientometric research artifacts : on the scientometric analysis of environmental tobacco smoke research (2013) 0.00 
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    Journal of the American Society for Information Science and Technology. 64(2013) no.2, S.334-344
  3. Min, C.; Chen, Q.; Yan, E.; Bu, Y.; Sun, J.: Citation cascade and the evolution of topic relevance (2021) 0.00 
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    Journal of the Association for Information Science and Technology. 72(2021) no.1, S.110-127
  4. Huang, S.; Qian, J.; Huang, Y.; Lu, W.; Bu, Y.; Yang, J.; Cheng, Q.: Disclosing the relationship between citation structure and future impact of a publication (2022) 0.00 
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    Journal of the Association for Information Science and Technology. 73(2022) no.7, S.1025-1042
  5. Cui, Y.; Wang, Y.; Liu, X.; Wang, X.; Zhang, X.: Multidimensional scholarly citations : characterizing and understanding scholars' citation behaviors (2023) 0.00 
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    Journal of the Association for Information Science and Technology. 74(2023) no.1, S.115-127
  6. Jiang, X.; Liu, J.: Extracting the evolutionary backbone of scientific domains : the semantic main path network analysis approach based on citation context analysis (2023) 0.00 
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    Journal of the Association for Information Science and Technology. 74(2023) no.5, S.546-569
  7. Thelwall, M.; Kousha, K.; Stuart, E.; Makita, M.; Abdoli, M.; Wilson, P.; Levitt, J.: In which fields are citations indicators of research quality? (2023) 0.00 
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    Journal of the Association for Information Science and Technology. 74(2023) no.8, S.941-953
  8. Safder, I.; Ali, M.; Aljohani, N.R.; Nawaz, R.; Hassan, S.-U.: Neural machine translation for in-text citation classification (2023) 0.00 
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    Journal of the Association for Information Science and Technology. 74(2023) no.10, S.1229-1240
  9. Frohlich, C.; Resler, L.: Analysis of publications and citations from a geophysics research institute (2001) 0.00 
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    Journal of the American Society for Information Science and technology. 52(2001) no.9, S.701-713
  10. Kostoff, R.N.; Rio, J.A. del; Humenik, J.A.; Garcia, E.O.; Ramirez, A.M.: Citation mining : integrating text mining and bibliometrics for research user profiling (2001) 0.00 
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    Journal of the American Society for Information Science and technology. 52(2001) no.13, S.1148-1156
  11. Száva-Kováts, E.: Indirect-collective referencing (ICR) in the elite journal literature of physics : II: a literature science study on the level of communications (2002) 0.00 
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    Journal of the American Society for Information Science and technology. 53(2002) no.1, S.47-56
  12. Moed, H.F.; Leeuwen, T.N. van; Reedijk, J.: ¬A new classification system to describe the ageing of scientific journals and their impact factors (1998) 0.00 
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    Abstract
    During the past decades, journal impact data obtained from the Journal Citation Reports (JCR) have gained relevance in library management, research management and research evaluation. Hence, both information scientists and bibliometricians share the responsibility towards the users of the JCR to analyse the reliability and validity of its measures thoroughly, to indicate pitfalls and to suggest possible improvements. In this article, ageing patterns are examined in 'formal' use or impact of all scientific journals processed for the Science Citation Index (SCI) during 1981-1995. A new classification system of journals in terms of their ageing characteristics is introduced. This system has been applied to as many as 3,098 journals covered by the Science Citation Index. Following an earlier suggestion by Glnzel and Schoepflin, a maturing and a decline phase are distinguished. From an analysis across all subfields it has been concluded that ageing characteristics are primarily specific to the individual journal rather than to the subfield, while the distribution of journals in terms of slowly or rapidly maturing or declining types is specific to the subfield. It is shown that the cited half life (CHL), printed in the JCR, is an inappropriate measure of decline of journal impact. Following earlier work by Line and others, a more adequate parameter of decline is calculated taking into account the size of annual volumes during a range of fifteen years. For 76 per cent of SCI journals the relative difference between this new parameter and the ISI CHL exceeds 5 per cent. The current JCR journal impact factor is proven to be biased towards journals revealing a rapid maturing and decline in impact. Therefore, a longer term impact factor is proposed, as well as a normalised impact statistic, taking into account citation characteristics of the research subfield covered by a journal and the type of documents published in it. When these new measures are combined with the proposed ageing classification system, they provide a significantly improved picture of a journal's impact to that obtained from the JCR.
  13. Schwartz, F.; Fang, Y.C.: Citation data analysis on hydrogeology (2007) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.4, S.518-525

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