Search (284 results, page 1 of 15)

  • × theme_ss:"Citation indexing"
  1. Døsen, K.: One more reference on self-reference (1992) 0.04
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    Date
    7. 2.2005 14:10:22
    Source
    Mathematical intelligencer. 14(1992), no.4, S.4-5
    Type
    a
  2. Nacke, O.: Zitatenanalyse im engeren Sinne (1980) 0.04
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    Pages
    S.51-72
    Source
    Deutscher Dokumentartag 1979, Willingen/Hochsauerland, 1.-5.10.1979. Das IuD-Programm heute - Online-Benutzergruppe - Bibliometrie, Scientometrie - Terminologiearbeit - Datenschutz - Tariffragen, Berufsbilder - Informationsmarkt - Gesprächskreise. Bearb.: M. von der Laake u. H. Strohl-Goebel
    Type
    a
  3. Nacke, O.: Fehlerquellen bei der Zitatenanalyse (1980) 0.04
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    Pages
    S.73-82
    Source
    Deutscher Dokumentartag 1979, Willingen/Hochsauerland, 1.-5.10.1979. Das IuD-Programm heute - Online-Benutzergruppe - Bibliometrie, Scientometrie - Terminologiearbeit - Datenschutz - Tariffragen, Berufsbilder - Informationsmarkt - Gesprächskreise. Bearb.: M. von der Laake u. H. Strohl-Goebel
    Type
    a
  4. 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.
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.10, S.1229-1240
    Type
    a
  5. Lai, K.-K.; Wu, S.-J.: Using the patent co-citation approach to establish a new patent classification system (2005) 0.02
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    Abstract
    The paper proposes a new approach to create a patent classification system to replace the IPC or UPC system for conducting patent analysis and management. The new approach is based on co-citation analysis of bibliometrics. The traditional approach for management of patents, which is based on either the IPC or UPC, is too general to meet the needs of specific industries. In addition, some patents are placed in incorrect categories, making it difficult for enterprises to carry out R&D planning, technology positioning, patent strategy-making and technology forecasting. Therefore, it is essential to develop a patent classification system that is adaptive to the characteristics of a specific industry. The analysis of this approach is divided into three phases. Phase I selects appropriate databases to conduct patent searches according to the subject and objective of this study and then select basic patents. Phase II uses the co-cited frequency of the basic patent pairs to assess their similarity. Phase III uses factor analysis to establish a classification system and assess the efficiency of the proposed approach. The main contribution of this approach is to develop a patent classification system based on patent similarities to assist patent manager in understanding the basic patents for a specific industry, the relationships among categories of technologies and the evolution of a technology category.
    Source
    Information processing and management. 41(2005) no.2, S.313-330
    Type
    a
  6. Fröhlich, G.: ¬Das Messen des leicht Meßbaren : Output-Indikatoren, Impact-Maße: Artefakte der Szeintometrie? (1999) 0.02
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    Footnote
    Zuerst publiziert in: Kommunikation statt Markt: Zu einer alternativen Theorie der Informationsgesellschaft. Hrsg.: J. Becker u. W. Göhring. Sankt Augustin: GMD. (GMD Report; 61) S.27-38.
    Source
    Online Mitteilungen. 1999, Nr.65, S.7-21 [=Mitteilungen VÖB 52(1999) H.3/4]
    Type
    a
  7. ¬The Web of knowledge : Festschrift in honor of Eugene Garfield (2000) 0.02
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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)
    Pages
    564 S
    Type
    s
  8. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.02
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    Abstract
    Ahlgren, Jarneving, and. Rousseau review accepted procedures for author co-citation analysis first pointing out that since in the raw data matrix the row and column values are identical i,e, the co-citation count of two authors, there is no clear choice for diagonal values. They suggest the number of times an author has been co-cited with himself excluding self citation rather than the common treatment as zeros or as missing values. When the matrix is converted to a similarity matrix the normal procedure is to create a matrix of Pearson's r coefficients between data vectors. Ranking by r and by co-citation frequency and by intuition can easily yield three different orders. It would seem necessary that the adding of zeros to the matrix will not affect the value or the relative order of similarity measures but it is shown that this is not the case with Pearson's r. Using 913 bibliographic descriptions form the Web of Science of articles form JASIS and Scientometrics, authors names were extracted, edited and 12 information retrieval authors and 12 bibliometric authors each from the top 100 most cited were selected. Co-citation and r value (diagonal elements treated as missing) matrices were constructed, and then reconstructed in expanded form. Adding zeros can both change the r value and the ordering of the authors based upon that value. A chi-squared distance measure would not violate these requirements, nor would the cosine coefficient. It is also argued that co-citation data is ordinal data since there is no assurance of an absolute zero number of co-citations, and thus Pearson is not appropriate. The number of ties in co-citation data make the use of the Spearman rank order coefficient problematic.
    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
    Type
    a
  9. Gabel, J.: Improving information retrieval of subjects through citation-analysis : a study (2006) 0.02
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    Abstract
    Citation-chasing is proposed as a method of discovering additional terms to enhance subjectsearch retrieval. Subjects attached to OCLC records for cited works are compared to those attached to original citing sources. Citing sources were produced via a subject-list search in a library catalog using the LCSH "Language and languages-Origin." A subject-search was employed to avoid subjectivity in choosing sources. References from the sources were searched in OCLC where applicable, and the subject headings were retrieved. The subjects were ranked by citation-frequency and tiered into 3 groups in a Bradford-like distribution. Highly cited subjects were produced that were not revealed through the original search. A difference in relative importance among the subjects was also revealed. Broad extra-linguistic topics like evolution are more prominent than specific linguistic topics like phonology. There are exceptions, which appear somewhat predictable by the amount of imbalance in citation-representation among the 2 sources. Citation leaders were also produced for authors and secondary-source titles.
    Pages
    S.19-25
    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
    Type
    a
  10. Bradshaw, S.; Hammond, K.: Using citations in facilitate precise indexing and automatic index creation in collections of research papers (2001) 0.02
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    Source
    Knowledge-based systems. 14(2001) nos.1/2, S.20-35
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    a
  11. 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
    Editor
    Nacke, O.
    Type
    s
  12. Korwitz, U.: Welchen 'Rang' hat ein Wissenschaftler? (1995) 0.01
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    Source
    Nachrichten für Dokumentation. 46(1995) H.5, S.267-272
    Type
    a
  13. Rajan, T.N.; Guha, B.; Sayanarayana, R.: Associate relationship of concepts as seen through citations and citation index (1982) 0.01
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    Pages
    S.103
    Type
    a
  14. 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
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  15. Wagner-Döbler, R.: ¬Die Nutzung von Zitationsindizes durch deutsche Soziologen : Ergebnisse einer Umfrage (2001) 0.01
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    nfd Information - Wissenschaft und Praxis. 52(2001) H.7, S.401-405
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  16. Mayr, P.; Walter, A.-K.: Abdeckung und Aktualität des Suchdienstes Google Scholar (2006) 0.01
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.3, S.133-140
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    a
  17. New Web Citation Index (2004) 0.01
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    Abstract
    Philadelphia, PA USA-London UK-Princeton, NJ February, 25, 2004 - Today, Thomson ISI and NEC Laboratories America (NEC) announced their collaboration to create a comprehensive, multidisciplinary citation index for Web-based scholarly resources. The new Web Citation Index(tm) will combine a suite of technologies developed by NEC, including "autonomous citation indexing" tools from NEC's CiteSeer environment, with the capabilities underlying ISI Web of KnowledgeSM. Thomson ISI editors will carefully monitor the quality of this new resource to ensure all indexed material meets the Thomson ISI high-quality standards. During 2004, Thomson ISI and NEC will operate a pilot of the new resource to receive feedback from the scientific and scholarly community. Full access to the index is projected for early 2005. When fully operational, the new resource will be a unique content collection within ISI Web of Knowledge. It will complement the Thomson ISI Web of Science(r), and provide researchers with a new gateway to discovery 4/3 using citation relationships among Web-based documents, such as pre-prints, proceedings, and "open access" research publications.
    Source
    Online Mitteilungen. 2004, Nr.78, S.39 [=Mitteilungen VÖB 57(2004) H.1]
    Type
    a
  18. Schneider, K.: Scopus contra ISI-WOS : Versuch einer vergleichenden Bewertung aus pharmakognostischer Sicht (2006) 0.01
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    Source
    Online Mitteilungen. 2006, Nr.85, S.21-24 [=Mitteilungen VÖB 59(2006) H.1]
    Type
    a
  19. Boyack, K.W.; Small, H.; Klavans, R.: Improving the accuracy of co-citation clustering using full text (2013) 0.01
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    Abstract
    Historically, co-citation models have been based only on bibliographic information. Full-text analysis offers the opportunity to significantly improve the quality of the signals upon which these co-citation models are based. In this work we study the effect of reference proximity on the accuracy of co-citation clusters. Using a corpus of 270,521 full text documents from 2007, we compare the results of traditional co-citation clustering using only the bibliographic information to results from co-citation clustering where proximity between reference pairs is factored into the pairwise relationships. We find that accounting for reference proximity from full text can increase the textual coherence (a measure of accuracy) of a co-citation cluster solution by up to 30% over the traditional approach based on bibliographic information.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.9, S.1759-17676
    Type
    a
  20. Garfield, E.: Recollections of Irving H. Sher 1924-1996 : Polymath/information scientist extraordinaire (2001) 0.01
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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
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.14, S.1197-1202
    Type
    a

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