Search (11 results, page 1 of 1)

  • × theme_ss:"Citation indexing"
  • × theme_ss:"Informetrie"
  1. Marx, W.: Wie mißt man Forschungsqualität? : der Science Citation Index - ein Maßstab für die Bewertung (1996) 0.04 
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    Abstract
    Ein überfordertes Gutachter-System, knapper fließende Forschungsgelder sowie die starke Faszination von Ranglisten bewirken zunehmend den Einsatz bibliometrischer Methoden zur Messung von Forschungsqualität. Grundlage der meisten Bewertungen ist der Science Citation Index, der nun auch in der Version als Online-Datenbank für umfangreiche Analysen genutzt werden kann. Erweiterungen der Retrievalsprache beim Host STN International ermöglichen statistische Analysen, die bisher nur dem SCI-Hersteller und wenigen Spezialisten vorbehalten waren. Voraussetzung für eine sinnvolle Anwendung sind vor allem die Wahl geeigneter Selektionskriterien sowie die sorgfältige Interpretation der Ergebnisse im Rahmen der Grenzen dieser Methoden
  2. Morris, S.A.; Yen, G.; Wu, Z.; Asnake, B.: Time line visualization of research fronts (2003) 0.01 
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    Abstract
    Research fronts, defined as clusters of documents that tend to cite a fixed, time invariant set of base documents, are plotted as time lines for visualization and exploration. Using a set of documents related to the subject of anthrax research, this article illustrates the construction, exploration, and interpretation of time lines for the purpose of identifying and visualizing temporal changes in research activity through journal articles. Such information is useful for presentation to meinbers of expert panels used for technology forecasting.
  3. Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004) 0.01 
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    Abstract
    Webometrics, the quantitative study of Web-related phenomena, emerged from the realization that methods originally designed for bibliometric analysis of scientific journal article citation patterns could be applied to the Web, with commercial search engines providing the raw data. Almind and Ingwersen (1997) defined the field and gave it its name. Other pioneers included Rodriguez Gairin (1997) and Aguillo (1998). Larson (1996) undertook exploratory link structure analysis, as did Rousseau (1997). Webometrics encompasses research from fields beyond information science such as communication studies, statistical physics, and computer science. In this review we concentrate on link analysis, but also cover other aspects of webometrics, including Web log fle analysis. One theme that runs through this chapter is the messiness of Web data and the need for data cleansing heuristics. The uncontrolled Web creates numerous problems in the interpretation of results, for instance, from the automatic creation or replication of links. The loose connection between top-level domain specifications (e.g., com, edu, and org) and their actual content is also a frustrating problem. For example, many .com sites contain noncommercial content, although com is ostensibly the main commercial top-level domain. Indeed, a skeptical researcher could claim that obstacles of this kind are so great that all Web analyses lack value. As will be seen, one response to this view, a view shared by critics of evaluative bibliometrics, is to demonstrate that Web data correlate significantly with some non-Web data in order to prove that the Web data are not wholly random. A practical response has been to develop increasingly sophisticated data cleansing techniques and multiple data analysis methods.
  4. Nicolaisen, J.: Citation analysis (2007) 0.01 
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    Date
    13. 7.2008 19:53:22
  5. 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
  6. 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
  7. 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
  8. H-Index auch im Web of Science (2008) 0.00 
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    Date
    6. 4.2008 19:04:22
  9. 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
  10. Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008) 0.00 
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    Date
    22. 6.2008 12:54:12
  11. 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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