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  • × theme_ss:"Citation indexing"
  1. 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
  2. Van der Veer Martens, B.; Goodrum, G.: ¬The diffusion of theories : a functional approach (2006) 0.02 
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    Date
    22. 7.2006 15:20:01
  3. Cronin, B.: ¬The citation process : the role and significance in scientific communication (1984) 0.01 
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  4. Cronin. B.: Some reflections on citation habits in psychology (1980) 0.01 
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  5. Cronin, B.: Bibliometrics and beyond : some thoughts on web-based citation analysis (2001) 0.01 
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  6. 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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  7. 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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  8. Wildner, B.: Web of Science - Scopus : Auf der Suche nach Zitierungen (2006) 0.01 
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    Date
    4. 6.2006 17:22:15
  9. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.01 
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    Date
    9. 7.2006 10:22:35
  10. ¬The Web of knowledge : Festschrift in honor of Eugene Garfield (2000) 0.01 
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    Editor
    Cronin, B. u. H.B. Atkins
  11. Cronin, B.: Semiotics and evaluative bibliometrics (2000) 0.01 
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  12. Stock, W.G.: Forschung im internationalen Vergleich - Wissenschaftsindikatoren auf Zitationsbasis : ISI Essential Science Indicators (2002) 0.01 
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    Abstract
    Bewertung wissenschaftlicher Forschungsergebnisse aus einer elektronischen Datenbank heraus? Rangordnungen der wichtigsten Institutionen, Wissenschaftler, Zeitschriften und sogar Länder in Fachdisziplinen nach Einfluss? Markierung "heißer", hochaktueller Artikel? Auflisten der hochzitierten Forschungsfronten in den einzelnen Wissenschaftsdisziplinen? Und das alles auf Knopfdruck und nicht mittels umständlicher szientometrischer Verfahren? Geht so etwas überhaupt? Es geht. Mit den "Essential Science Indicators" (ESI) legt das ISl ein webbasiertes Informationssystem zur Wissenschaftsevaluation vor, das einzigartige Ergebnisse präsentiert und in der Tat ausgesprochen einfach zu bedienen ist. Aber es geht, verglichen mit ausgeklügelten Methoden der empirischen Wissenschaftsforschung, nicht alles. Wo liegen die Grenzen des Systems? Wir werden die Arbeitsweise der ESI, seine Datenbasis, die eingesetzten informetrischen Algorithmen - und deren methodischen Probleme, die Suchoberfläche sowie die Ergebnisdarstellung skizzieren. Als Beispiel dienen uns Aspekte deutscher Forschung. Etwa: In welcher Disziplin haben Deutschlands Forscher den größten internationalen Einfluss? Welches deutsche Institut der Neurowissenschaften kann aufglobaler Ebene mitmischen? Oder: Welcher in Deutschland tätige Wissenschaftler führt eine disziplinspezifische Rangordnung an?Letztlich: Wer braucht die "Essential Science Indicators"? - Wir testeten die Essential Science Indicators Mitte Februar 2002 anhand der Version vom 1. Januar 2002, die das Zehn-Jahres-Intervall 1991 bis 2000 sowie die ersten zehn Monate aus 2001 berücksichtigt.
  13. Cronin, B.: Tiered citation and measures of document similarity (1994) 0.01 
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  14. Cronin, B.: Metatheorizing citation (1998) 0.01 
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  15. Cronin, B.; Shaw, D.: Banking (on) different forms of symbolic capital (2002) 0.01 
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  16. Nicolaisen, J.: Citation analysis (2007) 0.01 
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    Date
    13. 7.2008 19:53:22
  17. Døsen, K.: One more reference on self-reference (1992) 0.01 
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    Date
    7. 2.2005 14:10:22
  18. Pudovkin, A.I.; Garfield, E.: Algorithmic procedure for finding semantically related journals (2002) 0.01 
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    Abstract
    Journal Citation Reports provides a classification of journals most heavily cited by a given journal and which most heavily cite that journal, but size variation is not taken into account. Pudovkin and Garfield suggest a procedure for meeting this difficulty. The relatedness of journal i to journal j is determined by the number of citations from journal i to journal j in a given year normalized by the product of the papers published in the j journal in that year times the number of references cited in the i journal in that year. A multiplier of ten to the sixth is suggested to bring the values into an easily perceptible range. While citations received depend upon the overall cumulative number of papers published by a journal, the current year is utilized since that data is available in JCR. Citations to current year papers would be quite low in most fields and thus not included. To produce the final index, the maximum of the A citing B value, and the B citing A value is chosen and used to indicate the closeness of the journals. The procedure is illustrated for the journal Genetics.
  19. Zhao, D.; Strotmann, A.: Can citation analysis of Web publications better detect research fronts? (2007) 0.01 
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    Abstract
    We present evidence that in some research fields, research published in journals and reported on the Web may collectively represent different evolutionary stages of the field, with journals lagging a few years behind the Web on average, and that a "two-tier" scholarly communication system may therefore be evolving. We conclude that in such fields, (a) for detecting current research fronts, author co-citation analyses (ACA) using articles published on the Web as a data source can outperform traditional ACAs using articles published in journals as data, and that (b) as a result, it is important to use multiple data sources in citation analysis studies of scholarly communication for a complete picture of communication patterns. Our evidence stems from comparing the respective intellectual structures of the XML research field, a subfield of computer science, as revealed from three sets of ACA covering two time periods: (a) from the field's beginnings in 1996 to 2001, and (b) from 2001 to 2006. For the first time period, we analyze research articles both from journals as indexed by the Science Citation Index (SCI) and from the Web as indexed by CiteSeer. We follow up by an ACA of SCI data for the second time period. We find that most trends in the evolution of this field from the first to the second time period that we find when comparing ACA results from the SCI between the two time periods already were apparent in the ACA results from CiteSeer during the first time period.
  20. Cronin, B.; Weaver-Wozniak, S.: Online access to acknowledgements (1993) 0.01 
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