Search (54 results, page 1 of 3)

  • × theme_ss:"Citation indexing"
  1. Ding, Y.; Zhang, G.; Chambers, T.; Song, M.; Wang, X.; Zhai, C.: Content-based citation analysis : the next generation of citation analysis (2014) 0.03
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    Date
    22. 8.2014 16:52:04
  2. Van der Veer Martens, B.; Goodrum, G.: ¬The diffusion of theories : a functional approach (2006) 0.02
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    Date
    22. 7.2006 15:20:01
  3. Kurtz, M.J.; Eichhorn, G.; Accomazzi, A.; Grant, C.; Demleitner, M.; Henneken, E.; Murray, S.S.: ¬The effect of use and access on citations (2005) 0.01
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  4. Thelwall, M.; Harries, G.: ¬The connection between the research of a university and counts of links to its Web pages : an investigation based upon a classification of the relationships of pages to the research of the host university (2003) 0.01
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  5. Daquino, M.; Peroni, S.; Shotton, D.; Colavizza, G.; Ghavimi, B.; Lauscher, A.; Mayr, P.; Romanello, M.; Zumstein, P.: ¬The OpenCitations Data Model (2020) 0.01
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  6. Safder, I.; Ali, M.; Aljohani, N.R.; Nawaz, R.; Hassan, S.-U.: Neural machine translation for in-text citation classification (2023) 0.01
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    Abstract
    The quality of scientific publications can be measured by quantitative indices such as the h-index, Source Normalized Impact per Paper, or g-index. However, these measures lack to explain the function or reasons for citations and the context of citations from citing publication to cited publication. We argue that citation context may be considered while calculating the impact of research work. However, mining citation context from unstructured full-text publications is a challenging task. In this paper, we compiled a data set comprising 9,518 citations context. We developed a deep learning-based architecture for citation context classification. Unlike feature-based state-of-the-art models, our proposed focal-loss and class-weight-aware BiLSTM model with pretrained GloVe embedding vectors use citation context as input to outperform them in multiclass citation context classification tasks. Our model improves on the baseline state-of-the-art by achieving an F1 score of 0.80 with an accuracy of 0.81 for citation context classification. Moreover, we delve into the effects of using different word embeddings on the performance of the classification model and draw a comparison between fastText, GloVe, and spaCy pretrained word embeddings.
  7. Nicolaisen, J.: Citation analysis (2007) 0.01
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    Date
    13. 7.2008 19:53:22
  8. Døsen, K.: One more reference on self-reference (1992) 0.01
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    Date
    7. 2.2005 14:10:22
  9. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.01
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    Date
    22. 7.2006 15:22:28
  10. Zitatenanalyse und verwandte Verfahren : Vorträge einer öffentlichen Sitzung während der 32. Jahrestagung der Deutschen Gesellschaft für Dokumentation, Oktober 1979 (1980) 0.01
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    Content
    Enthält die Beiträge: NACKE, O.: Zitatenanalyse im engeren Sinne; GERDEL, W.: Datentechnische Methoden in der Referenzanalyse; EISENHARDT, O.-H.: Ergebnisse der Referenzanalyse; KRUG, G.: List-Analyse; LANGE, H.: Requestanalyse; HENZLER, R.G.: Bibliometrische Methoden der Termanalyse; NACKE, O.: Fehlerquellen bei der Zitatenanalyse
  11. Malanga, G.: Classifying and screening journal literature with citation data (1982) 0.01
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  12. Fröhlich, G.: ¬Das Messen des leicht Meßbaren : Output-Indikatoren, Impact-Maße: Artefakte der Szeintometrie? (1999) 0.01
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  13. Garfield, E.; Stock, W.G.: Citation Consciousness : Interview with Eugene Garfiels, chairman emeritus of ISI; Philadelphia (2002) 0.01
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    Source
    Password. 2002, H.6, S.22-25
  14. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.00
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    Date
    22. 3.2009 19:22:35
  15. Moed, H.F.; Vriens, M.: Possible inaccuracies occuring in citation analysis (1989) 0.00
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  16. Cronin, B.: ¬The citation process : the role and significance in scientific communication (1984) 0.00
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    Type
    m
  17. Morris, S.A.; Yen, G.; Wu, Z.; Asnake, B.: Time line visualization of research fronts (2003) 0.00
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  18. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.00
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    Date
    17.12.2013 11:02:22
  19. Garfield, E.: Recollections of Irving H. Sher 1924-1996 : Polymath/information scientist extraordinaire (2001) 0.00
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    Date
    16.12.2001 14:01:22
  20. Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020) 0.00
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