Search (101 results, page 1 of 6)

  • × language_ss:"e"
  • × theme_ss:"Citation indexing"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Nicolaisen, J.: Citation analysis (2007) 0.05
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    Date
    13. 7.2008 19:53:22
    Source
    Annual review of information science and technology. 41(2007), S.xxx-xxx
    Type
    a
  2. Haridasan, S.; Kulshrestha, V.K.: Citation analysis of scholarly communication in the journal Knowledge Organization (2007) 0.05
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    Abstract
    Purpose - Citation analysis is one of the popular methods employed for identification of core documents and complex relationship between citing and cited documents for a particular scholarly community in a geographical proximity. The present citation study is to understand the information needs, use pattern and use behaviour of library and information science researchers particularly engaged in the field of knowledge organization. Design/methodology/approach - The data relating to all the references appended to the articles during the period under study were collected and tabulated. Findings - Citation analysis of the journal for the period under study reveals that the average number of citations is around 21 per article. The major source of information is books and documents published during the later half of the century (1982-91). Authors from the USA, UK and Germany are the major contributors to the journal. India is ranked seventh in terms of contributions. Research limitations/implications - The study undertaken is limited to nine years, i.e. 1993-2001. The model citation index of the journal is analyzed using the first seven core authors. Practical implications - Ranking of periodicals helps to identify the core periodicals cited in the journal Knowledge Organization. Ranking of authors is done to know the eminent personalities in the subject, whose work is used by the authors to refine their ideas on the subject or topic. Originality/value - Model Citation Index for the first seven most cited authors was worked out and it reveals the historical relationship of cited and citing documents. This model citation index can be used to identify, the most cited authors as researchers currently working on special problems, to determine whether a paper has been cited, whether there has been a review of a subject, whether a concept has been applied, a theory confirmed or a method improved.
    Type
    a
  3. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.04
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    Date
    22. 7.2006 15:22:28
    Source
    Information Research. 6(2001), no.2
    Type
    a
  4. Garfield, E.: Recollections of Irving H. Sher 1924-1996 : Polymath/information scientist extraordinaire (2001) 0.03
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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
  5. Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.03
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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
    Type
    a
  6. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.03
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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
    Type
    a
  7. Van der Veer Martens, B.; Goodrum, G.: ¬The diffusion of theories : a functional approach (2006) 0.03
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    Abstract
    This comparative case study of the diffusion and nondiffusion over time of eight theories in the social sciences uses citation analysis, citation context analysis, content analysis, surveys of editorial review boards, and personal interviews with theorists to develop a model of the theory functions that facilitate theory diffusion throughout specific intellectual communities. Unlike previous work on the diffusion of theories as innovations, this theory functions model differs in several important respects from the findings of previous studies that employed Everett Rogers's classic typology of innovation characteristics that promote diffusion. The model is also presented as a contribution to a more integrated theory of citation.
    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
    Type
    a
  8. Mingers, J.; Burrell, Q.L.: Modeling citation behavior in Management Science journals (2006) 0.02
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    Abstract
    Citation rates are becoming increasingly important in judging the research quality of journals, institutions and departments, and individual faculty. This paper looks at the pattern of citations across different management science journals and over time. A stochastic model is proposed which views the generating mechanism of citations as a gamma mixture of Poisson processes generating overall a negative binomial distribution. This is tested empirically with a large sample of papers published in 1990 from six management science journals and found to fit well. The model is extended to include obsolescence, i.e., that the citation rate for a paper varies over its cited lifetime. This leads to the additional citations distribution which shows that future citations are a linear function of past citations with a time-dependent and decreasing slope. This is also verified empirically in a way that allows different obsolescence functions to be fitted to the data. Conclusions concerning the predictability of future citations, and future research in this area are discussed.
    Date
    26.12.2007 19:22:05
    Source
    Information processing and management. 42(2006) no.6, S.1451-1464
    Type
    a
  9. Ma, N.; Guan, J.; Zhao, Y.: Bringing PageRank to the citation analysis (2008) 0.02
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    Abstract
    The paper attempts to provide an alternative method for measuring the importance of scientific papers based on the Google's PageRank. The method is a meaningful extension of the common integer counting of citations and is then experimented for bringing PageRank to the citation analysis in a large citation network. It offers a more integrated picture of the publications' influence in a specific field. We firstly calculate the PageRanks of scientific papers. The distributional characteristics and comparison with the traditionally used number of citations are then analyzed in detail. Furthermore, the PageRank is implemented in the evaluation of research influence for several countries in the field of Biochemistry and Molecular Biology during the time period of 2000-2005. Finally, some advantages of bringing PageRank to the citation analysis are concluded.
    Date
    31. 7.2008 14:22:05
    Source
    Information processing and management. 44(2008) no.2, S.800-810
    Type
    a
  10. 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
  11. He, Y.; Hui, S.C.: Mining a web database for author cocitation analysis (2002) 0.01
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    Source
    Information processing and management. 38(2002) no.4, S.491-508
    Type
    a
  12. Bensman, S.J.: Garfield and the impact factors (2007) 0.01
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    Source
    Annual review of information science and technology. 41(2007), S.xxx-xxx
    Type
    a
  13. Yakel, E.: Seeking information, seeking connections, seeking meaning : genealogists and family historians (2004) 0.01
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    Source
    Information Research. 10(2004) no.1
    Type
    a
  14. Larsen, B.: Exploiting citation overlaps for information retrieval : generating a boomerang effect from the network of scientific papers (2002) 0.01
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    a
  15. Cronin, B.: Bibliometrics and beyond : some thoughts on web-based citation analysis (2001) 0.01
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    Source
    Journal of information science. 27(2001) no.1, S.1-7
    Type
    a
  16. Smith, A.G.: Web links as analogues of citations (2004) 0.01
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    Source
    Information Research. 9(2004), no.4
    Type
    a
  17. Chen, C.; Paul, R.J.; O'Keefe, B.: Fitting the Jigsaw of citation : information visualization in domain analysis (2001) 0.01
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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
    Type
    a
  18. Brooks, T.A.: How good are the best papers of JASIS? (2000) 0.01
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    Abstract
    A citation analysis examined the 28 best articles published in JASIS from 1969-1996. Best articles tend to single-authored works twice as long as the avergae article published in JASIS. They are cited and self-cited much more often than the average article. The greatest source of references made to the best articles is from JASIS itself. The top 5 best papers focus largely on information retrieval and online searching
    Content
    Top by numbers of citations: (1) Saracevic, T. et al.: A study of information seeking and retrieving I-III (1988); (2) Bates, M.: Information search tactics (1979); (3) Cooper, W.S.: On selecting a measure of retrieval effectiveness (1973); (4) Marcus, R.S.: A experimental comparison of the effectiveness of computers and humans as search intermediaries (1983); (4) Fidel, R.: Online searching styles (1984)
    Source
    Journal of the American Society for Information Science. 51(2000) no.5, S.485-486
    Type
    a
  19. Garfield, E.; Pudovkin, A.I.; Istomin, V.S.: Why do we need algorithmic historiography? (2003) 0.01
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    Abstract
    This article discusses the rationale for creating historiographs of scholarly topics using a new program called HistCite(TM), which produces a variety of analyses to aid the historian identify key events (papers), people (authors), and journals in a field. By creating a genealogic profile of the evolution, the program aids the scholar in evaluating the paradigm involved.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.400-412
    Type
    a
  20. Rousseau, R.: Timelines in citation research (2006) 0.01
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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
    Type
    a

Authors