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  • × theme_ss:"Citation indexing"
  1. Feitelson, D.G.; Yovel, U.: Predictive ranking of computer scientists using CiteSeer data (2004) 0.00 
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    Source
    Journal of documentation. 60(2004) no.1, S.44-61
  2. Shaw, W.M.: Subject and citation indexing : pt.1: the clustering structure of composite representations in the cystic fibrosis document collection (1991) 0.00 
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  3. Baird, L.M.; Oppenheim, C.: Do citations matter? (1994) 0.00 
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    Journal of information science. 20(1994) no.1, S.2-15
  4. Weinberg, B.H.: ¬The earliest Hebrew citation indexes (1997) 0.00 
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    Footnote
    Contribution to part 1 of a 2 part series on the history of documentation and information science
  5. Brooks, T.A.: How good are the best papers of JASIS? (2000) 0.00 
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    Content
    Top by numbers of citations: (1) Saracevic, T. et al.: A study of information seeking and retrieving I-III (1988); (2) Bates, M.: Information search tactics (1979); (3) Cooper, W.S.: On selecting a measure of retrieval effectiveness (1973); (4) Marcus, R.S.: A experimental comparison of the effectiveness of computers and humans as search intermediaries (1983); (4) Fidel, R.: Online searching styles (1984)
  6. Chen, C.; Cribbin, T.; Macredie, R.; Morar, S.: Visualizing and tracking the growth of competing paradigms : two case studies (2002) 0.00 
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    Abstract
    In this article we demonstrate the use of an integrative approach to visualizing and tracking the development of scientific paradigms. This approach is designed to reveal the long-term process of competing scientific paradigms. We assume that a cluster of highly cited and cocited scientific publications in a cocitation network represents the core of a predominant scientific paradigm. The growth of a paradigm is depicted and animated through the rise of citation rates and the movement of its core cluster towards the center of the cocitation network. We study two cases of competing scientific paradigms in the real world: (1) the causes of mass extinctions, and (2) the connections between mad cow disease and a new variant of a brain disease in humans-vCJD. Various theoretical and practical issues concerning this approach are discussed.
  7. Tho, Q.T.; Hui, S.C.; Fong, A.C.M.: ¬A citation-based document retrieval system for finding research expertise (2007) 0.00 
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    Source
    Information processing and management. 43(2007) no.1, S.248-264
  8. Marshakova-Shaikevich, I.: Bibliometric maps of field of science (2005) 0.00 
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    Abstract
    The present paper is devoted to two directions in algorithmic classificatory procedures: the journal co-citation analysis as an example of citation networks and lexical analysis of keywords in the titles and texts. What is common to those approaches is the general idea of normalization of deviations of the observed data from the mathematical expectation. The application of the same formula leads to discovery of statistically significant links between objects (journals in one case, keywords - in the other). The results of the journal co-citation analysis are reflected in tables and map for field "Women's Studies" and for field "Information Science and Library Science". An experimental attempt at establishing textual links between words was carried out on two samples from SSCI Data base: (1) EDUCATION and (2) ETHICS. The EDUCATION file included 2180 documents (of which 751 had abstracts); the ETHICS file included 807 documents (289 abstracts). Some examples of the results of this pilot study are given in tabular form . The binary links between words discovered in this way may form triplets or other groups with more than two member words.
  9. Leydesdorff, L.: On the normalization and visualization of author co-citation data : Salton's Cosine versus the Jaccard index (2008) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.1, S.77-85
  10. Chen, C.: Mapping scientific frontiers : the quest for knowledge visualization (2003) 0.00 
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    Footnote
    Rez. in: JASIST 55(2004) no.4, S.363-365 (J.W. Schneider): "Theories and methods for mapping scientific frontiers have existed for decades-especially within quantitative studies of science. This book investigates mapping scientific frontiers from the perspective of visual thinking and visual exploration (visual communication). The central theme is construction of visual-spatial representations that may convey insights into the dynamic structure of scientific frontiers. The author's previous book, Information Visualisation and Virtual Environments (1999), also concerns some of the ideas behind and possible benefits of visual communication. This new book takes a special focus an knowledge visualization, particularly in relation to science literature. The book is not a technical tutorial as the focus is an principles of visual communication and ways that may reveal the dynamics of scientific frontiers. The new approach to science mapping presented is the culmination of different approaches from several disciplines, such as philosophy of science, information retrieval, scientometrics, domain analysis, and information visualization. The book therefore addresses an audience with different disciplinary backgrounds and tries to stimulate interdisciplinary research. Chapter 1, The Growth of Scientific Knowledge, introduces a range of examples that illustrate fundamental issues concerning visual communication in general and science mapping in particular. Chapter 2, Mapping the Universe, focuses an the basic principles of cartography for visual communication. Chapter 3, Mapping the Mind, turns the attention inward and explores the design of mind maps, maps that represent our thoughts, experience, and knowledge. Chapter 4, Enabling Techniques for Science Mapping, essentially outlines the author's basic approach to science mapping.
    Isbn
    1-85233-494-0
  11. Rousseau, R.; Zuccala, A.: ¬A classification of author co-citations : definitions and search strategies (2004) 0.00 
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    Abstract
    The term author co-citation is defined and classified according to four distinct forms: the pure first-author co-citation, the pure author co-citation, the general author co-citation, and the special co-authorlco-citation. Each form can be used to obtain one count in an author co-citation study, based an a binary counting rule, which either recognizes the co-citedness of two authors in a given reference list (1) or does not (0). Most studies using author co-citations have relied solely an first-author cocitation counts as evidence of an author's oeuvre or body of work contributed to a research field. In this article, we argue that an author's contribution to a selected field of study should not be limited, but should be based an his/her complete list of publications, regardless of author ranking. We discuss the implications associated with using each co-citation form and show where simple first-author co-citations fit within our classification scheme. Examples are given to substantiate each author co-citation form defined in our classification, including a set of sample Dialog(TM) searches using references extracted from the SciSearch database.
  12. Leydesdorff, L.: Visualization of the citation impact environments of scientific journals : an online mapping exercise (2007) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.1, S.25-38
  13. Bornmann, L.; Daniel, H.D.: What do citation counts measure? : a review of studies on citing behavior (2008) 0.00 
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    Source
    Journal of documentation. 64(2008) no.1, S.45-80
  14. Klitzing, N.; Hoekstra, R.; Strijbos, J.-W,: Literature practices : processes leading up to a citation (2019) 0.00 
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    Journal of documentation. 75(2019) no.1, S.62-77
  15. Min, C.; Chen, Q.; Yan, E.; Bu, Y.; Sun, J.: Citation cascade and the evolution of topic relevance (2021) 0.00 
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    Journal of the Association for Information Science and Technology. 72(2021) no.1, S.110-127
  16. Száva-Kováts, E.: Indirect-collective referencing (ICR) in the elite journal literature of physics : II: a literature science study on the level of communications (2002) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.1, S.47-56

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