Search (31 results, page 1 of 2)

  • × language_ss:"e"
  • × theme_ss:"Citation indexing"
  • × year_i:[2000 TO 2010}
  1. Marion, L.S.; McCain, K.W.: Contrasting views of software engineering journals : author cocitation choices and indexer vocabulary assignments (2001) 0.05
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    Abstract
    We explore the intellectual subject structure and research themes in software engineering through the identification and analysis of a core journal literature. We examine this literature via two expert perspectives: that of the author, who identified significant work by citing it (journal cocitation analysis), and that of the professional indexer, who tags published work with subject terms to facilitate retrieval from a bibliographic database (subject profile analysis). The data sources are SCISEARCH (the on-line version of Science Citation Index), and INSPEC (a database covering software engineering, computer science, and information systems). We use data visualization tools (cluster analysis, multidimensional scaling, and PFNets) to show the "intellectual maps" of software engineering. Cocitation and subject profile analyses demonstrate that software engineering is a distinct interdisciplinary field, valuing practical and applied aspects, and spanning a subject continuum from "programming-in-the-smalI" to "programming-in-the-large." This continuum mirrors the software development life cycle by taking the operating system or major application from initial programming through project management, implementation, and maintenance. Object orientation is an integral but distinct subject area in software engineering. Key differences are the importance of management and programming: (1) cocitation analysis emphasizes project management and systems development; (2) programming techniques/languages are more influential in subject profiles; (3) cocitation profiles place object-oriented journals separately and centrally while the subject profile analysis locates these journals with the programming/languages group
    Date
    29. 9.2001 14:01:01
  2. Garfield, E.; Pudovkin, A.I.; Istomin, V.S.: Why do we need algorithmic historiography? (2003) 0.02
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    Date
    29. 3.2003 19:52:23
  3. Nicolaisen, J.: ¬The J-shaped distribution of citedness (2002) 0.01
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    Date
    6.11.2005 19:15:23
  4. Vanclay, J.K.: On the robustness of the h-index (2007) 0.01
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    Date
    1.11.2007 19:16:23
  5. Leydesdorff, L.: Clusters and maps of science journals based on bi-connected graphs in Journal Citation Reports (2004) 0.01
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    Abstract
    The aggregated journal-journal citation matrix derived from Journal Citation Reports 2001 can be decomposed into a unique subject classification using the graph-analytical algorithm of bi-connected components. This technique was recently incorporated in software tools for social network analysis. The matrix can be assessed in terms of its decomposability using articulation points which indicate overlap between the components. The articulation points of this set did not exhibit a next-order network of "general science" journals. However, the clusters differ in size and in terms of the internal density of their relations. A full classification of the journals is provided in the Appendix. The clusters can also be extracted and mapped for the visualization.
  6. Frohlich, C.; Resler, L.: Analysis of publications and citations from a geophysics research institute (2001) 0.01
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    Abstract
    We here perform an analysis of all 1128 publications produced by scientists during their employment at the University of Texas Institute for Geophysics, a geophysical research laboratory founded in 1972 that currently employs 23 Ph.D.-level scientists. We thus assess research performance using as bibliometric indicators such statistics as publications per year, citations per paper, and cited half-lives. To characterize the research style of individual scientists and to obtain insight into the origin of certain publication-counting discrepancies, we classified the 1128 publications into four categories that differed significantly with respect to statistics such as lifetime citation rates, fraction of papers never-cited after 10 years, and cited half-life. The categories were: mainstream (prestige journal) publications -32.6 lifetime cit/pap, 2.4% never cited, and 6.9 year half-life; archival (other refereed)-12.0 lifetime cit/pap. 21.5% never cited, and 9.5 years half-life; articles published as proceedings of conferences-5.4 lifetime cit/pap, 26.6% never cited, and 5.4 years half-life; and "other" publications (news articles, book reviews, etc.)-4.2 lifetime cit/pap, 57.1% never cited, and 1.9 years half-life. Because determining cited half-lives is highly similar to a well-studied phenomenon in earthquake seismology, which was familiar to us, we thoroughly evaluate five different methods for determining the cited half-life and discuss the robustness and limitations of the various methods. Unfortunately, even when data are numerous the various methods often obtain very different values for the half-life. Our preferred method determines halflife from the ratio of citations appearing in back-to-back 5-year periods. We also evaluate the reliability of the citation count data used for these kinds of analysis and conclude that citation count data are often imprecise. All observations suggest that reported differences in cited half-lives must be quite large to be significant
    Date
    29. 9.2001 14:01:26
  7. White, H.D.: Citation analysis : history (2009) 0.01
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    Abstract
    References from publications are at the same time citations to other publications. This entry introduces some of the practical uses of citation data in science and scholarship. At the individual level citations identify and permit the retrieval of specific editions of works, while also suggesting their subject matter, authority, and age. Through citation indexes, retrievals may include not only the earlier items referred to by a given work, but also the later items that cite that given work in turn. Some technical notes on retrieval are included here. Counts of citations received over time, and measures derived from them, reveal the varying impacts of works, authors, journals, organizations, and countries. This has obvious implications for the evaluation of, e.g., library collections, academics, research teams, and science policies. When treated as linkages between pairs of publications, references and citations reveal intellectual ties. Several kinds of links have been defined, such as cocitation, bibliographic coupling, and intercitation. In the aggregate, these links form networks that compactly suggest the intellectual histories of research specialties and disciplines, especially when the networks are visualized through mapping software. Citation analysis is of course not without critics, who have long pointed out imperfections in the data or in analytical techniques. However, the criticisms have generally been met by strong counterarguments from proponents.
  8. Leydesdorff, L.; Bihui, J.: Mapping the Chinese Science Citation Database in terms of aggregated journal-journal citation relations (2005) 0.01
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    Date
    8. 1.2006 18:53:23
  9. Sidiropoulos, A.; Manolopoulos, Y.: ¬A new perspective to automatically rank scientific conferences using digital libraries (2005) 0.01
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    Date
    26.12.2007 19:40:23
  10. Johnson, B.; Oppenheim, C.: How socially connected are citers to those that they cite? (2007) 0.01
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    Date
    23.12.2007 14:07:23
  11. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.00
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    Abstract
    This article challenges recent research (Evans, 2008) reporting that the concentration of cited scientific literature increases with the online availability of articles and journals. Using Thomson Reuters' Web of Science, the present article analyses changes in the concentration of citations received (2- and 5-year citation windows) by papers published between 1900 and 2005. Three measures of concentration are used: the percentage of papers that received at least one citation (cited papers); the percentage of papers needed to account for 20%, 50%, and 80% of the citations; and the Herfindahl-Hirschman index (HHI). These measures are used for four broad disciplines: natural sciences and engineering, medical fields, social sciences, and the humanities. All these measures converge and show that, contrary to what was reported by Evans, the dispersion of citations is actually increasing.
    Date
    22. 3.2009 19:22:35
  12. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.00
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    Date
    22. 7.2006 15:22:28
  13. Van der Veer Martens, B.; Goodrum, G.: ¬The diffusion of theories : a functional approach (2006) 0.00
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    Date
    22. 7.2006 15:20:01
  14. Wilson, C.S.; Tenopir, C.: Local citation analysis, publishing and reading patterns : using multiple methods to evaluate faculty use of an academic library's research collection (2008) 0.00
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    Abstract
    This study assessed the intermix of local citation analysis and survey of journal use and reading patterns for evaluating an academic library's research collection. Journal articles and their cited references from faculties at the University of New South Wales were downloaded from the Web of Science (WoS) and journal impact factors from the Journal Citation Reports. The survey of the University of New South Wales (UNSW) academic staff asked both reader-related and reading-related questions. Both methods showed that academics in medicine published more and had more coauthors per paper than academics in the other faculties; however, when correlated with the number of students and academic staff, science published more and engineering published in higher impact journals. When recalled numbers of articles published were compared to actual numbers, all faculties over-estimated their productivity by nearly two-fold. The distribution of cited serial references was highly skewed with over half of the titles cited only once. The survey results corresponded with U.S. university surveys with one exception: Engineering academics reported the highest number of article readings and read mostly for research related activities. Citation analysis data showed that the UNSW library provided the majority of journals in which researchers published and cited, mostly in electronic formats. However, the availability of non-journal cited sources was low. The joint methods provided both confirmatory and contradictory results and proved useful in evaluating library research collections.
  15. Nicolaisen, J.: Citation analysis (2007) 0.00
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    Date
    13. 7.2008 19:53:22
  16. Rousseau, R.: Timelines in citation research (2006) 0.00
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    Date
    18. 8.2006 14:29:40
  17. Kurtz, M.J.; Eichhorn, G.; Accomazzi, A.; Grant, C.; Demleitner, M.; Henneken, E.; Murray, S.S.: ¬The effect of use and access on citations (2005) 0.00
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    Date
    27.12.2007 17:16:29
  18. Morris, S.A.; Yen, G.; Wu, Z.; Asnake, B.: Time line visualization of research fronts (2003) 0.00
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    Date
    29. 3.2003 19:51:59
  19. Chen, C.; Paul, R.J.; O'Keefe, B.: Fitting the Jigsaw of citation : information visualization in domain analysis (2001) 0.00
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    Date
    29. 9.2001 14:00:53
  20. Davis, P.M.; Cohen, S.A.: ¬The effect of the Web on undergraduate citation behavior 1996-1999 (2001) 0.00
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    Date
    29. 9.2001 14:01:09