Search (125 results, page 1 of 7)

  • × theme_ss:"Citation indexing"
  • × 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. H-Index auch im Web of Science (2008) 0.02 
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    Content
    "Zur Kurzmitteilung "Latest enhancements in Scopus: ... h-Index incorporated in Scopus" in den letzten Online-Mitteilungen (Online-Mitteilungen 92, S.31) ist zu korrigieren, dass der h-Index sehr wohl bereits im Web of Science enthalten ist. Allerdings findet man/frau diese Information nicht in der "cited ref search", sondern neben der Trefferliste einer Quick Search, General Search oder einer Suche über den Author Finder in der rechten Navigationsleiste unter dem Titel "Citation Report". Der "Citation Report" bietet für die in der jeweiligen Trefferliste angezeigten Arbeiten: - Die Gesamtzahl der Zitierungen aller Arbeiten in der Trefferliste - Die mittlere Zitationshäufigkeit dieser Arbeiten - Die Anzahl der Zitierungen der einzelnen Arbeiten, aufgeschlüsselt nach Publikationsjahr der zitierenden Arbeiten - Die mittlere Zitationshäufigkeit dieser Arbeiten pro Jahr - Den h-Index (ein h-Index von x sagt aus, dass x Arbeiten der Trefferliste mehr als x-mal zitiert wurden; er ist gegenüber sehr hohen Zitierungen einzelner Arbeiten unempfindlicher als die mittlere Zitationshäufigkeit)."
    Date
    6. 4.2008 19:04:22
    Type
    a
  11. 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
  12. Garfield, E.; Stock, W.G.: Citation Consciousness : Interview with Eugene Garfiels, chairman emeritus of ISI; Philadelphia (2002) 0.02 
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    Source
    Password. 2002, H.6, S.22-25
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    a
  13. wst: Cut-and-paste-Wissenschaft (2003) 0.01 
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    Content
    "Mikhail Simkin und Vwani Roychowdhury von der University of Califomia, Los Angeles, haben eine in der wissenschaftlichen Gemeinschaft verbreitete Unsitte erstmals quantitativ erfasst. Die Wissenschaftler analysierten die Verbreitung von Druckfehlern in den Literaturlisten wissenschaftlicher Arbeiten (www.arxiv.org/abs/cond-mat/0212043). 78 Prozent aller zitierten Aufsätze - so schätzen die Forscher - haben die zitierenden Wissenschaftler demnach nicht gelesen, sondern nur per 'cut and paste' von einer Vorlage in ihre eigene Literaturliste übernommen. Das könne man beispielsweise abschätzen aus der Analyse fehlerhafter Seitenangaben in der Literaturliste eines 1973 veröffentlichten Aufsatzes über die Struktur zweidimensionaler Kristalle: Dieser Aufsatz ist rund 4300 mal zitiert worden. In 196 Fällen enthalten die Zitate jedoch Fehler in der Jahreszahl, dem Band der Zeitschrift oder der Seitenzahl, die als Indikatoren für cut and paste genommen werden können, denn man kann, obwohl es Milliarden Möglichkeiten gibt, nur 45 verschiedene Arten von Druckfehlern unterscheiden. In erster Näherung ergibt sich eine Obergrenze für die Zahl der `echten Leser' daher aus der Zahl der unterscheidbaren Druckfehler (45) geteilt durch die Gesamtzahl der Publikationen mit Druckfehler (196), das macht etwa 22 Prozent."
    Footnote
    Vgl. auch den Beitrag von H.F. Goenner zu A. Einstein und S.B. Preuss
    Type
    a
  14. 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
  15. 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
  16. 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
  17. 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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  18. 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
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    a
  19. Smith, A.G.: Web links as analogues of citations (2004) 0.01 
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    Information Research. 9(2004), no.4
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  20. Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008) 0.01 
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    Abstract
    Um sich einer Antwort auf die Frage anzunähern, welche Bedeutung der Nachlass eines Wissenschaftlers wie jener Paul F. Lazarsfelds (mit zahlreichen noch unveröffentlichten Schriften) für die aktuelle Forschung haben könne, kann untersucht werden, wie häufig dieser Wissenschaftler zitiert wird. Wenn ein Autor zitiert wird, wird er auch genutzt. Wird er über einen langen Zeitraum oft genutzt, ist vermutlich auch die Auseinandersetzung mit seinem Nachlass von Nutzen. Außerdem kann aufgrund der Zitierungen festgestellt werden, was aus dem Lebenswerk eines Wissenschaftlers für die aktuelle Forschung relevant erscheint. Daraus können die vordringlichen Fragestellungen in der Bearbeitung des Nachlasses abgeleitet werden. Die Aufgabe für die folgende Untersuchung lautete daher: Wie oft wird Paul F. Lazarsfeld zitiert? Dabei interessierte auch: Wer zitiert wo? Die Untersuchung wurde mit Hilfe der Meta-Datenbank "ISI Web of Knowledge" durchgeführt. In dieser wurde im "Web of Science" mit dem Werkzeug "Cited Reference Search" nach dem zitierten Autor (Cited Author) "Lazarsfeld P*" gesucht. Diese Suche ergab 1535 Referenzen (References). Werden alle Referenzen gewählt, führt dies zu 4839 Ergebnissen (Results). Dabei wurden die Datenbanken SCI-Expanded, SSCI und A&HCI verwendet. Bei dieser Suche wurden die Publikationsjahre 1941-2008 analysiert. Vor 1956 wurden allerdings nur sehr wenige Zitate gefunden: 1946 fünf, ansonsten maximal drei, 1942-1944 und 1949 überhaupt keines. Zudem ist das Jahr 2008 noch lange nicht zu Ende. (Es gab jedoch schon vor Ende März 24 Zitate!)
    Date
    22. 6.2008 12:54:12
    Type
    a

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