Search (45 results, page 1 of 3)

  • × theme_ss:"Citation indexing"
  • × language_ss:"e"
  1. ¬The Web of knowledge : Festschrift in honor of Eugene Garfield (2000) 0.04 
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    Editor
    Cronin, B. u. H.B. Atkins
    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)
  2. Garfield, E.: Recollections of Irving H. Sher 1924-1996 : Polymath/information scientist extraordinaire (2001) 0.02 
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    Abstract
    Over a 35-year period, Irving H. Sher played a critical role in the development and implementation of the Science Citation Index and other ISI products. Trained as a biochemist, statistician, and linguist, Sher brought a unique combination of talents to ISI as Director of Quality Control and Director of Research and Development. His talents as a teacher and mentor evoked loyalty. He was a particularly inventive but self-taught programmer. In addition to the SCI, Social Sciences Citation Index, and Arts and Humanities Citation Index,
    Date
    16.12.2001 14:01:22
  3. Safder, I.; Ali, M.; Aljohani, N.R.; Nawaz, R.; Hassan, S.-U.: Neural machine translation for in-text citation classification (2023) 0.02 
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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.
  4. Snyder, H.; Bonzi, S.: Patterns of self-citation across disciplines : 1980-1989 (1998) 0.01 
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    Date
    22. 5.1999 19:33:24
  5. Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.01 
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    Date
    3. 1.2007 17:22:03
  6. Neuhaus, C.; Daniel, H.-D.: Data sources for performing citation analysis : an overview (2008) 0.01 
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  7. De Bellis, N.: Bibliometrics and citation analysis : from the Science citation index to cybermetrics (2008) 0.01 
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    Footnote
    Rez. in: JASIS 61(2010) no.1, S.205-207 (Jeppe Nicolaisen) Weitere Rez. in: Mitt VÖB 63(2010) H.1/2, S.134-135 (J. Gorraiz u. M. Wieland): "Das Buch entwickelte sich aus einem mehrjährigen Forschungsprojekt mit dem Ziel, den schwer verständlichen quantitativen Kern der Bibliometrie in einem für primär italienische Bibliothekare leichteren historischen und philosophischen Kontext zu vermitteln, wie der Autor im Vorwort erklärt. Dank einer Empfehlung von Eugene Garfield steht dieses Werk nun auch in englischer Übersetzung einer internationalen Leserschaft zur Verfügung. Die über 400 Seiten lange Monografie von de Bellis gibt in acht Kapiteln einen detaillierten und sehr präzisen Überblick über die Bibliometrie und die Zitationsanalyse, ihre Natur und Entwicklung, ihre Kontroverse und Prognose. . . . Das Buch von de Bellis ist sehr empfehlenswert für alle die beabsichtigen, sich mit dieser neuen Wissenschaft zu beschäftigen. Es endet mit folgendem Statement: "Scientometricians have to learn to live in a multidimensional world". Und genau hier liegt die Herausforderung und Schönheit dieses Metiers."
  8. Small, H.; Sweeney, E.: Clustering the Science Citation Index using co-citations (1985) 0.01 
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  9. Small, H.: Co-citation context analysis and the structure of paradigms (1980) 0.01 
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  10. Vanclay, J.K.: On the robustness of the h-index (2007) 0.01 
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    Abstract
    The h-index (Hirsch, 2005) is robust, remaining relatively unaffected by errors in the long tails of the citations-rank distribution, such as typographic errors that short-change frequently cited articles and create bogus additional records. This robustness, and the ease with which h-indices can be verified, support the use of a Hirsch-type index over alternatives such as the journal impact factor. These merits of the h-index apply both to individuals and to journals.
  11. Nicolaisen, J.: Citation analysis (2007) 0.01 
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    Date
    13. 7.2008 19:53:22
  12. Døsen, K.: One more reference on self-reference (1992) 0.01 
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    Date
    7. 2.2005 14:10:22
  13. Bornmann, L.; Daniel, H.-D.: Multiple publication on a single research study: does it pay? : The influence of number of research articles on total citation counts in biomedicine (2007) 0.01 
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  14. 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
  15. Williams, R.M.: ISI search network research front specialities (1983) 0.01 
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    Source
    Deutscher Dokumentartag 1982, Lübeck-Travemünde, 29.-30.9.1982: Fachinformation im Zeitalter der Informationsindustrie. Bearb.: H. Strohl-Goebel
  16. Bornmann, L.; Daniel, H.-D.: Selecting manuscripts for a high-impact journal through peer review : a citation analysis of communications that were accepted by Angewandte Chemie International Edition, or rejected but published elsewhere (2008) 0.01 
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  17. Garfield, E.: Agony and ecstasy of the Internet : experiences of an information scientist qua publisher (1996) 0.01 
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    Source
    Towards a worldwide library: a ten year forecast. Proceedings of the 19th International Essen Symposium, 23-26 Sept 1996. Ed.: A.H. Helal u. J.W. Weiss
  18. Feitelson, D.G.; Yovel, U.: Predictive ranking of computer scientists using CiteSeer data (2004) 0.01 
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  19. Trivison, D.: Term co-occurrence in cited/citing journal articles as a measure of document similarity (1987) 0.01 
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  20. Gabel, J.: Improving information retrieval of subjects through citation-analysis : a study (2006) 0.00 
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    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch

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