Search (126 results, page 1 of 7)

  • × theme_ss:"Informetrie"
  1. Lercher, A.: Correlation over time for citations to mathematics articles (2013) 0.09
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    Abstract
    Explicit definition of the limits of citation analysis demands additional tests for the validity of citation analysis. The stability of citation rankings over time can be regarded as confirming the validity of evaluative citation analysis. This stability over time was investigated for two sets of citation records from the Web of Science (Thomson Reuters, Philadelphia, PA) for articles published in journals classified in Journal Citation Reports as Mathematics. These sets are of all such articles for the 1960s and for the 1970s. This study employs only descriptive statistics and draws no inferences to any larger population. The study found a high correlation from one decade to the next of rankings among sets of most highly cited articles. However, the study found a low correlation for rankings among articles whose ranks were the 500 directly below those of the 500 most cited. This perhaps expected result is discussed in terms of the Glänzel-Schubert-Schoepflin stochastic model for citation processes and also in connection with an account of the purposes of evaluative citation analysis. This interpretative context suggests why the limitations of citation analysis may be inherent to citation analysis even when it is done well.
    Date
    22. 3.2013 19:23:35
  2. Zornic, N.; Markovic, A.; Jeremic, V.: How the top 500 ARWU can provide a misleading rank (2014) 0.06
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  3. Egghe, L.: Informetric explanation of some Leiden Ranking graphs (2014) 0.04
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    Abstract
    The S-shaped functional relation between the mean citation score and the proportion of top 10% publications for the 500 Leiden Ranking universities is explained using results of the shifted Lotka function. Also the concave or convex relation between the proportion of top 100?% publications, for different fractions ?, is explained using the obtained new informetric model.
  4. Perianes-Rodriguez, A.; Ruiz-Castillo, J.: University citation distributions (2016) 0.04
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    Abstract
    We investigate the citation distributions of the 500 universities in the 2013 edition of the Leiden Ranking produced by The Centre for Science and Technological Studies. We use a Web of Science data set consisting of 3.6 million articles published in 2003 to 2008 and classified into 5,119 clusters. The main findings are the following. First, the universality claim, according to which all university-citation distributions, appropriately normalized, follow a single functional form, is not supported by the data. Second, the 500 university citation distributions are all highly skewed and very similar. Broadly speaking, university citation distributions appear to behave as if they differ by a relatively constant scale factor over a large, intermediate part of their support. Third, citation-impact differences between universities account for 3.85% of overall citation inequality. This percentage is greatly reduced when university citation distributions are normalized using their mean normalized citation scores (MNCSs) as normalization factors. Finally, regarding practical consequences, we only need a single explanatory model for the type of high skewness characterizing all university citation distributions, and the similarity of university citation distributions goes a long way in explaining the similarity of the university rankings obtained with the MNCS and the Top 10% indicator.
  5. Thelwall, M.; Wilkinson, D.: Finding similar academic Web sites with links, bibliometric couplings and colinks (2004) 0.03
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    Abstract
    A common task in both Webmetrics and Web information retrieval is to identify a set of Web pages or sites that are similar in content. In this paper we assess the extent to which links, colinks and couplings can be used to identify similar Web sites. As an experiment, a random sample of 500 pairs of domains from the UK academic Web were taken and human assessments of site similarity, based upon content type, were compared against ratings for the three concepts. The results show that using a combination of all three gives the highest probability of identifying similar sites, but surprisingly this was only a marginal improvement over using links alone. Another unexpected result was that high values for either colink counts or couplings were associated with only a small increased likelihood of similarity. The principal advantage of using couplings and colinks was found to be greater coverage in terms of a much larger number of pairs of sites being connected by these measures, instead of increased probability of similarity. In information retrieval terminology, this is improved recall rather than improved precision.
  6. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.03
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    Source
    Information processing and management. 22(1986), S.417-419
  7. Nicolaisen, J.: Citation analysis (2007) 0.03
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    Date
    13. 7.2008 19:53:22
  8. Fiala, J.: Information flood : fiction and reality (1987) 0.03
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    Source
    Thermochimica acta. 110(1987), S.11-22
  9. Walters, W.H.; Wilder, E.I.: Bibliographic index coverage of a multidisciplinary field (2003) 0.03
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    Abstract
    Walters and Wilder describe the literature of later-life migration, a multi-disciplinary topic, and evaluate its bibliographic coverage in seven disciplinary and five multi-disciplinary databases. Multiple database searches and reviews of the references of found items discovered over 500 papers published between January 1990 and December 2000. These were then read to determine if late-life migration was their central focus, and to select those which presented noteworthy findings, innovative approaches, or were covering topics unseen elsewhere, and also were understandable to a broad readership, and generally available. One hundred and fifty five journal articles met these criteria and are the focus of the study. The core journals of sociology, economics, and demography are not major contributors, but three gerontology journals are in the top five. The top two journals have broad coverage, but the others tend to concentrate on one of five themes. The top five journals account for 40 % of papers and the top twelve 70%. Of nine papers cited 30 or more times seven appeared in the top 12 contributing journals. The median article in the study was indexed by six of the twelve databases, and 12% were indexed by more than 7 databases. The correlation between citation and number of databases indexing a paper is very low. Social Sciences Citation Index will 73% coverage. Typical overlap in the 12 databases is about 45%.
  10. Waltman, L.; Calero-Medina, C.; Kosten, J.; Noyons, E.C.M.; Tijssen, R.J.W.; Eck, N.J. van; Leeuwen, T.N. van; Raan, A.F.J. van; Visser, M.S.; Wouters, P.: ¬The Leiden ranking 2011/2012 : data collection, indicators, and interpretation (2012) 0.03
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    Abstract
    The Leiden Ranking 2011/2012 is a ranking of universities based on bibliometric indicators of publication output, citation impact, and scientific collaboration. The ranking includes 500 major universities from 41 different countries. This paper provides an extensive discussion of the Leiden Ranking 2011/2012. The ranking is compared with other global university rankings, in particular the Academic Ranking of World Universities (commonly known as the Shanghai Ranking) and the Times Higher Education World University Rankings. The comparison focuses on the methodological choices underlying the different rankings. Also, a detailed description is offered of the data collection methodology of the Leiden Ranking 2011/2012 and of the indicators used in the ranking. Various innovations in the Leiden Ranking 2011/2012 are presented. These innovations include (1) an indicator based on counting a university's highly cited publications, (2) indicators based on fractional rather than full counting of collaborative publications, (3) the possibility of excluding non-English language publications, and (4) the use of stability intervals. Finally, some comments are made on the interpretation of the ranking and a number of limitations of the ranking are pointed out.
  11. Colliander, C.: ¬A novel approach to citation normalization : a similarity-based method for creating reference sets (2015) 0.03
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.3, S.489-500
  12. Zuccala, A.; Guns, R.; Cornacchia, R.; Bod, R.: Can we rank scholarly book publishers? : a bibliometric experiment with the field of history (2015) 0.03
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    Abstract
    This is a publisher ranking study based on a citation data grant from Elsevier, specifically, book titles cited in Scopus history journals (2007-2011) and matching metadata from WorldCat® (i.e., OCLC numbers, ISBN codes, publisher records, and library holding counts). Using both resources, we have created a unique relational database designed to compare citation counts to books with international library holdings or libcitations for scholarly book publishers. First, we construct a ranking of the top 500 publishers and explore descriptive statistics at the level of publisher type (university, commercial, other) and country of origin. We then identify the top 50 university presses and commercial houses based on total citations and mean citations per book (CPB). In a third analysis, we present a map of directed citation links between journals and book publishers. American and British presses/publishing houses tend to dominate the work of library collection managers and citing scholars; however, a number of specialist publishers from Europe are included. Distinct clusters from the directed citation map indicate a certain degree of regionalism and subject specialization, where some journals produced in languages other than English tend to cite books published by the same parent press. Bibliometric rankings convey only a small part of how the actual structure of the publishing field has evolved; hence, challenges lie ahead for developers of new citation indices for books and bibliometricians interested in measuring book and publisher impacts.
  13. Perianes-Rodriguez, A.; Ruiz-Castillo, J.: ¬The impact of classification systems in the evaluation of the research performance of the Leiden Ranking universities (2018) 0.03
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    Abstract
    In this article, we investigate the consequences of choosing different classification systems-namely, the way publications (or journals) are assigned to scientific fields-for the ranking of research units. We study the impact of this choice on the ranking of 500 universities in the 2013 edition of the Leiden Ranking in two cases. First, we compare a Web of Science (WoS) journal-level classification system, consisting of 236 subject categories, and a publication-level algorithmically constructed system, denoted G8, consisting of 5,119 clusters. The result is that the consequences of the move from the WoS to the G8 system using the Top 1% citation impact indicator are much greater than the consequences of this move using the Top 10% indicator. Second, we compare the G8 classification system and a publication-level alternative of the same family, the G6 system, consisting of 1,363 clusters. The result is that, although less important than in the previous case, the consequences of the move from the G6 to the G8 system under the Top 1% indicator are still of a large order of magnitude.
  14. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.02
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    Date
    22. 5.1999 19:22:35
  15. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.02
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    Date
    22. 7.2006 15:22:28
  16. Diodato, V.: Dictionary of bibliometrics (1994) 0.02
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    Footnote
    Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
  17. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.02
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    Date
    22. 7.2006 18:55:29
  18. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.02
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    Date
    22. 7.2006 18:55:55
  19. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.02
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  20. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.02
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