Search (186 results, page 1 of 10)

  • × theme_ss:"Citation indexing"
  1. Nicolaisen, J.: Citation analysis (2007) 0.10
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    Date
    13. 7.2008 19:53:22
    Source
    Annual review of information science and technology. 41(2007), S.xxx-xxx
  2. Garfield, E.: Recollections of Irving H. Sher 1924-1996 : Polymath/information scientist extraordinaire (2001) 0.05
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    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
  3. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.05
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    Date
    22. 3.2009 19:22:35
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.858-862
  4. Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.05
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    Abstract
    Research patterns could enhance understanding of the Information Systems (IS) field. Citation analysis is the methodology commonly used to determine such research patterns. In this study, the citation methodology is applied to one of the top-ranked Information Systems conferences - International Conference on Information Systems (ICIS). Information is extracted from papers in the proceedings of ICIS 2000 to 2002. A total of 145 base articles and 4,226 citations are used. Research patterns are obtained using total citations, citations per journal or conference, and overlapping citations. We then provide the citation ranking of journals and conferences. We also examine the difference between the citation ranking in this study and the ranking of IS journals and IS conferences in other studies. Based on the comparison, we confirm that IS research is a multidisciplinary research area. We also identify the most cited papers and authors in the IS research area, and the organizations most active in producing papers in the top-rated IS conference. We discuss the findings and implications of the study.
    Date
    3. 1.2007 17:22:03
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1263-1274
  5. Van der Veer Martens, B.; Goodrum, G.: ¬The diffusion of theories : a functional approach (2006) 0.04
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    Date
    22. 7.2006 15:20:01
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.330-341
  6. Ding, Y.; Zhang, G.; Chambers, T.; Song, M.; Wang, X.; Zhai, C.: Content-based citation analysis : the next generation of citation analysis (2014) 0.04
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    Date
    22. 8.2014 16:52:04
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1820-1833
  7. Bensman, S.J.: Garfield and the impact factors (2007) 0.03
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    Source
    Annual review of information science and technology. 41(2007), S.xxx-xxx
  8. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.03
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    Date
    22. 7.2006 15:22:28
    Source
    Information Research. 6(2001), no.2
  9. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.03
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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
  10. Rosenberg, V.: ¬An assessment of ISI's new Web of Science : ISI's services brings citiation indexing to new and advanced researchers (1998) 0.02
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    Abstract
    Comments on the affinity of Web technology and citation indexes and reviews the ISI service, Web of Science. Although still requiring refinement, it multiplies the effectiveness of an already effective search tool
    Source
    Information today. 15(1998) no.3, S.21,61
  11. Morris, S.A.; Yen, G.; Wu, Z.; Asnake, B.: Time line visualization of research fronts (2003) 0.02
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    Abstract
    Research fronts, defined as clusters of documents that tend to cite a fixed, time invariant set of base documents, are plotted as time lines for visualization and exploration. Using a set of documents related to the subject of anthrax research, this article illustrates the construction, exploration, and interpretation of time lines for the purpose of identifying and visualizing temporal changes in research activity through journal articles. Such information is useful for presentation to meinbers of expert panels used for technology forecasting.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.413-422
  12. Rousseau, R.: Timelines in citation research (2006) 0.02
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    Abstract
    The timeline used in ISI's Journal Citation Reports (JCR; Thomson ISI, formerly the Institute for Scientific Information, Philadelphia, PA) for half-life calculations, is not a timeline for (average) cited age. These two timelines are shifted over half a year.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.10, S.1404-1405
  13. Cronin, B.; Shaw, D.: Banking (on) different forms of symbolic capital (2002) 0.02
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    Abstract
    The accrual of symbolic capital is an important aspect of academic life. Successful capital formation is commonly signified by the trappings of scholarly distinction or acknowledged status as a public intellectual. We consider and compare three potential indices of symbolic capital: citation counts, Web hits, and media mentions. Our Eindings, which are domain specific, suggest that public intellectuals are notable by their absence within the information studies community.
    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.14, S.1267-1270
  14. Xie, J.; Lu, H.; Kang, L.; Cheng, Y.: Citing criteria and its effects on researcher's intention to cite : a mixed-method study (2022) 0.02
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    Abstract
    This study explored users' criteria for citation decisions and investigated the effects on users' intention to cite using a mixed-method approach. A qualitative study was conducted first, where 16 citing criteria were identified based on interviews and inductive analysis. The findings were then used to develop hypotheses and extend the information adoption model. A questionnaire was designed to collect data from users in Chinese universities to test the research model. The findings indicated that pleasure, topicality, and functionality significantly increased users' perceived information usefulness, while familiarity and accessibility significantly enhanced users' perceived ease of use. Information usefulness and information ease of use further contributed to users' intention to cite with adjusted R2 equaling 44.6%. It is also found that perceived academic quality based on 5 antecedents (i.e., reliability, comprehensiveness, novelty, author credibility, and source reputation) significantly increased users' pleasure. Implications and limitations were provided.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.8, S.1079-1091
  15. Garfield, E.: Citation indexing : its theory and application in science, technology, and humanities (1979) 0.02
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    Imprint
    Philadelphia, PA : Institute for Scientific Information
    LCSH
    Technology / Abstracting and indexing
    Subject
    Technology / Abstracting and indexing
  16. Chen, C.; Paul, R.J.; O'Keefe, B.: Fitting the Jigsaw of citation : information visualization in domain analysis (2001) 0.02
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    Abstract
    Domain visualization is one of the new research fronts resulted from the proliferation of information visualization, aiming to reveal the essence of a knowledge domain. Information visualization plays an integral role in modeling and representing intellectual structures associated with scientific disciplines. In this article, the domain of computer graphics is visualized based on author cocitation patterns derived from an 18-year span of the prestigious IEEE Computer Graphics and Applications (1982-1999). This domain visualization utilizes a series of visualization and animation techniques, including author cocitation maps, citation time lines, animation of a highdimensional specialty space, and institutional profiles. This approach not only augments traditional domain analysis and the understanding of scientific disciplines, but also produces a persistent and shared knowledge space for researchers to keep track the development of knowledge more effectively. The results of the domain visualization are discussed and triangulated in a broader context of the computer graphics field
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.4, S.315-330
  17. Boyack, K.W.; Small, H.; Klavans, R.: Improving the accuracy of co-citation clustering using full text (2013) 0.02
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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
  18. Leydesdorff, L.: Dynamic and evolutionary updates of classificatory schemes in scientific journal structures (2002) 0.02
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    Abstract
    Can the inclusion of new journals in the Science Citation Index be used for the indication of structural change in the database, and how can this change be compared with reorganizations of reiations among previously included journals? Change in the number of journals (n) is distinguished from change in the number of journal categories (m). Although the number of journals can be considered as a given at each moment in time, the number of journal categories is based an a reconstruction that is time-stamped ex post. The reflexive reconstruction is in need of an update when new information becomes available in a next year. Implications of this shift towards an evolutionary perspective are specified.
    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.12, S.987-994
  19. Hellqvist, B.: Referencing in the humanities and its implications for citation analysis (2010) 0.02
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    Abstract
    This article studies citation practices in the arts and humanities from a theoretical and conceptual viewpoint, drawing on studies from fields like linguistics, history, library & information science, and the sociology of science. The use of references in the humanities is discussed in connection with the growing interest in the possibilities of applying citation analysis to humanistic disciplines. The study shows how the use of references within the humanities is connected to concepts of originality, to intellectual organization, and to searching and writing. Finally, it is acknowledged that the use of references is connected to stylistic, epistemological, and organizational differences, and these differences must be taken into account when applying citation analysis to humanistic disciplines.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.2, S.310-318
  20. Burrell, Q.L.: Will this paper ever be cited? (2002) 0.02
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.3, S.232-235

Years

Languages

  • e 174
  • d 10
  • chi 2
  • More… Less…

Types

  • a 179
  • el 5
  • m 5
  • s 2
  • r 1
  • More… Less…