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  • × theme_ss:"Citation indexing"
  • × theme_ss:"Informetrie"
  1. Nicolaisen, J.: Citation analysis (2007) 0.04 
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    Date
    13. 7.2008 19:53:22
    Type
    a
  2. 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
    Type
    a
  3. 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
  4. Mingers, J.; Burrell, Q.L.: Modeling citation behavior in Management Science journals (2006) 0.03 
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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
  5. Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.02 
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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. 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
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 61(2008) H.1, S.124-125
    Type
    a
  7. Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008) 0.02 
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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
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 61(2008) H.2, S.14-20
    Type
    a
  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. Garfield, E.: Is citation analysis a legitime evaluation tool? (1979) 0.01 
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    Source
    Scientometrics. 1(1979), S.359-375
    Type
    a
  10. Vinkler, P.: ¬A quasi-quantitative citation model (1987) 0.01 
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  11. Peritz, B.C.: Citation characteristics in library science : some further results from a bibliometric survey (1981) 0.01 
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  12. Peritz, B.C.: ¬A classification of citation roles for the social sciences and related fields (1983) 0.01 
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    Scientometrics. 5(1983), S.303-312
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  13. McCain, K.W.: Co-cited author mapping as a valid representation of intellectual structure (1986) 0.01 
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    Journal of the American Society for Information Science. 37(1986), S.111-122
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  14. He, Y.; Hui, S.C.: Mining a web database for author cocitation analysis (2002) 0.01 
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    Information processing and management. 38(2002) no.4, S.491-508
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  15. Schulz-DuBois, E.O.: Arbeiten deutscher Wissenschaftler, die weltweit am häufigsten zitiert wurden (1984) 0.01 
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    Umschau. 84(1984), S.21-25
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  16. Small, H.; Sweeney, E.: Clustering the Science Citation Index using co-citations (1985) 0.01 
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    Scientometrics. 7(1985), S.391-409
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  17. Cozzens, S.E.: What do citations count? : the rhetoric-first model (1989) 0.01 
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    Scientometrics. 15(1989), S.437-447
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  18. Fujigaki, Y.: ¬The citation system : citation networks as repeatedly focusing on difference, continuous re-evaluation, and as persistent knowledge accumulation (1998) 0.01 
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    Abstract
    States that it can be shown that claims of a lack of theories of citation are also indicative of a great need for a theory which links science dynamics and measurement. There is a wide gap between qualitative (science dynamics) and quantitative (measurement) approaches. To link them, proposes the use of the citation system, that potentially bridges a gap between measurement and epistemology, by applying system theory to the publication system
    Footnote
    Contribution to a thematic issue devoted to 'Theories of citation?'
    Source
    Scientometrics. 43(1998) no.1, S.77-85
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    a
  19. 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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    Scientometrics. 54(2002) no.2, S.155-178
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    a
  20. Sen, B.K.; Pandalai, T.A.; Karanjai, A.: Ranking of scientists - a new approach (1998) 0.01 
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    Abstract
    A formula for the ranking of scientists based on diachronous citation counts is proposed. The paper generalises the fact that the citation generation potential (CGP) is not the same for all papers, it differs from paper to paper, and also to a certain extent depends on the subject domain of the papers. The method of ranking proposed in no way replaces peer review. It merely acts as an aid for peers to help them arrive at a better judgement.
    Source
    Journal of documentation. 54(1998) no.5, S.622-628
    Type
    a

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