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Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- 22. 7.2006 15:22:28
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Van der Veer Martens, B.; Goodrum, G.: ¬The diffusion of theories : a functional approach (2006)
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- Date
- 22. 7.2006 15:20:01
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Cronin, B.: ¬The citation process : the role and significance in scientific communication (1984)
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Cronin. B.: Some reflections on citation habits in psychology (1980)
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Cronin, B.: Bibliometrics and beyond : some thoughts on web-based citation analysis (2001)
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Rajan, T.N.; Guha, B.; Sayanarayana, R.: Associate relationship of concepts as seen through citations and citation index (1982)
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Larsen, B.: Exploiting citation overlaps for information retrieval : generating a boomerang effect from the network of scientific papers (2002)
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Wildner, B.: Web of Science - Scopus : Auf der Suche nach Zitierungen (2006)
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- Date
- 4. 6.2006 17:22:15
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Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003)
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- Date
- 9. 7.2006 10:22:35
-
¬The Web of knowledge : Festschrift in honor of Eugene Garfield (2000)
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- Editor
- Cronin, B. u. H.B. Atkins
-
Cronin, B.: Semiotics and evaluative bibliometrics (2000)
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Cronin, B.: Tiered citation and measures of document similarity (1994)
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Cronin, B.: Metatheorizing citation (1998)
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Cronin, B.; Shaw, D.: Banking (on) different forms of symbolic capital (2002)
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-
Nicolaisen, J.: Citation analysis (2007)
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- Date
- 13. 7.2008 19:53:22
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Døsen, K.: One more reference on self-reference (1992)
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- Date
- 7. 2.2005 14:10:22
-
Pudovkin, A.I.; Garfield, E.: Algorithmic procedure for finding semantically related journals (2002)
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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.
-
Zhao, D.; Strotmann, A.: Can citation analysis of Web publications better detect research fronts? (2007)
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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.
-
Cronin, B.; Weaver-Wozniak, S.: Online access to acknowledgements (1993)
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Morris, S.A.; Yen, G.; Wu, Z.; Asnake, B.: Time line visualization of research fronts (2003)
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