Search (14 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Citation indexing"
  • × theme_ss:"Informetrie"
  1. Garfield, E.; Pudovkin, A.I.; Istomin, V.S.: Why do we need algorithmic historiography? (2003) 0.02 
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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.
  2. Milman, B.L.: Individual co-citation clusters as nuclei of complete and dynamic informetric models of scientific and technological areas (1994) 0.02 
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    Abstract
    Describes the construction of improved informetric models of individual scientific and technological areas on the basis of individual co citation clusters. The developed methodology of replenishment of research front with accidently absent papers describes the model more completely. Proposes the simple method of cluster 'dynamization' for the study of evolution of research area. The transition under consideration from co citation clusters to lexical maps of papers and patents enables the monitoring of the relationshuip between R and D in a given technological area. Provides the example from modern chemical engineering of Pressure-Swing Adsorption
  3. Garfield, E.: From citation indexes to informetrics : is the tail now wagging the dog? (1998) 0.02 
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    Abstract
    Provides a synoptic review and history of citation indexes and their evolution into research evaluation tools including a discussion of the use of bibliometric data for evaluating US institutions (academic departments) by the National Research Council (NRC). Covers the origin and uses of periodical impact factors, validation studies of citation analysis, information retrieval and dissemination (current awareness), citation consciousness, historiography and science mapping, Citation Classics, and the history of contemporary science. Illustrates the retrieval of information by cited reference searching, especially as it applies to avoiding duplicated research. Discusses the 15 year cumulative impacts of periodicals and the percentage of uncitedness, the emergence of scientometrics, old boy networks, and citation frequency distributions. Concludes with observations about the future of citation indexing
  4. Scharnhorst, A.: Citation - networks, science landscapes and evolutionary strategies (1998) 0.02 
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    Abstract
    The construction of virtual science landscapes based on citation networks and the strategic use of the information therein shed new light on the issues of the evolution of the science system and possibilities for control. Leydesdorff's approach to citation theory described in his 1998 article (see this issue of LISA) takes into account the dual layered character of communication networks and the second order nature of the science system. This perspective may help to sharpen the awareness of scientists and science policy makers for possible feedback loops within actions and activities in the science system, and probably nonlinear phenomena resulting therefrom. Sketches an additional link to geometrically oriented evolutionary theories and uses a specific landscape concept as a framework for some comments
  5. Leydesdorff, L.: Theories of citation? (1999) 0.02 
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    Abstract
    Citations support the communication of specialist knowledge by allowing authors and readers to make specific selections in several contexts at the same time. In the interactions between the social network of authors and the network of their reflexive communications, a sub textual code of communication with a distributed character has emerged. Citation analysis reflects on citation practices. Reference lists are aggregated in scientometric analysis using one of the available contexts to reduce the complexity: geometrical representations of dynamic operations are reflected in corresponding theories of citation. The specific contexts represented in the modern citation can be deconstructed from the perspective of the cultural evolution of scientific communication
  6. Brown, C.: ¬The evolution of preprints in the scholarly communication of physicists and astronomers (2001) 0.01 
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  7. 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.
  8. Heneberg, P.: Lifting the fog of scientometric research artifacts : on the scientometric analysis of environmental tobacco smoke research (2013) 0.01 
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    Abstract
    Previous analyses identified research on environmental tobacco smoke to be subject to strong fluctuations as measured by both quantitative and qualitative indicators. The evolution of search algorithms (based on the Web of Science and Web of Knowledge database platforms) was used to show the impact of errors of omission and commission in the outcomes of scientometric research. Optimization of the search algorithm led to the complete reassessment of previously published findings on the performance of environmental tobacco smoke research. Instead of strong continuous growth, the field of environmental tobacco smoke research was shown to experience stagnation or slow growth since mid-1990s when evaluated quantitatively. Qualitative analysis revealed steady but slow increase in the citation rate and decrease in uncitedness. Country analysis revealed the North-European countries as leaders in environmental tobacco smoke research (when the normalized results were evaluated both quantitatively and qualitatively), whereas the United States ranked first only when assessing the total number of papers produced. Scientometric research artifacts, including both errors of omission and commission, were shown to be capable of completely obscuring the real output of the chosen research field.
  9. Nicolaisen, J.: Citation analysis (2007) 0.01 
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    Date
    13. 7.2008 19:53:22
  10. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.01 
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    Date
    22. 7.2006 15:22:28
  11. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.00 
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    Date
    22. 3.2009 19:22:35
  12. Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.00 
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    Date
    3. 1.2007 17:22:03
  13. Mingers, J.; Burrell, Q.L.: Modeling citation behavior in Management Science journals (2006) 0.00 
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    Date
    26.12.2007 19:22:05
  14. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.00 
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    Date
    9. 7.2006 10:22:35

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