Search (1373 results, page 1 of 69)

  • × theme_ss:"Informetrie"
  1. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.05
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    Source
    Information processing and management. 22(1986), S.417-419
    Type
    a
  2. Nicolaisen, J.: Citation analysis (2007) 0.05
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    Date
    13. 7.2008 19:53:22
    Type
    a
  3. Fiala, J.: Information flood : fiction and reality (1987) 0.05
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    Source
    Thermochimica acta. 110(1987), S.11-22
    Type
    a
  4. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.04
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    Date
    22. 7.2006 18:55:29
    Type
    a
  5. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.04
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    Date
    22. 7.2006 18:55:55
    Type
    a
  6. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.04
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    Abstract
    Derives a 'literature variable exponential growth model' from Price's literature growth model. The research shows that the new model is more convincing than the former ones. Gives detailed calculation procedure, examples, parameter values and mean square errors
    Date
    22. 5.1999 19:22:35
    Type
    a
  7. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.04
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    Date
    22. 7.2006 15:22:28
    Type
    a
  8. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.04
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    Date
    20. 1.2007 17:02:22
    Type
    a
  9. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.04
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    Date
    18. 3.2014 19:13:22
    Type
    a
  10. Danell, R.: Can the quality of scientific work be predicted using information on the author's track record? (2011) 0.03
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    Abstract
    Many countries are moving towards research policies that emphasize excellence; consequently; they develop evaluation systems to identify universities, research groups, and researchers that can be said to be "excellent." Such active research policy strategies, in which evaluations are used to concentrate resources, are based on an unsubstantiated assumption that researchers' track records are indicative of their future research performance. In this study, information on authors' track records (previous publication volume and previous citation rate) is used to predict the impact of their articles. The study concludes that, to a certain degree, the impact of scientific work can be predicted using information on how often an author's previous publications have been cited. The relationship between past performance and the citation rate of articles is strongest at the high end of the citation distribution. The implications of these results are discussed in the context of a cumulative advantage process.
    Type
    a
  11. Ahlgren, P.; Järvelin, K.: Measuring impact of twelve information scientists using the DCI index (2010) 0.03
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    Abstract
    The Discounted Cumulated Impact (DCI) index has recently been proposed for research evaluation. In the present work an earlier dataset by Cronin and Meho (2007) is reanalyzed, with the aim of exemplifying the salient features of the DCI index. We apply the index on, and compare our results to, the outcomes of the Cronin-Meho (2007) study. Both authors and their top publications are used as units of analysis, which suggests that, by adjusting the parameters of evaluation according to the needs of research evaluation, the DCI index delivers data on an author's (or publication's) lifetime impact or current impact at the time of evaluation on an author's (or publication's) capability of inviting citations from highly cited later publications as an indication of impact, and on the relative impact across a set of authors (or publications) over their lifetime or currently.
    Type
    a
  12. Rousseau, R.; Zuccala, A.: ¬A classification of author co-citations : definitions and search strategies (2004) 0.03
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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.
    Type
    a
  13. Crispo, E.: ¬A new index to use in conjunction with the h-index to account for an author's relative contribution to publications with high impact (2015) 0.03
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    Abstract
    The h-index was devised to represent a scholar's contributions to his field with respect to the number of publications and citations. It does not, however, take into consideration the scholar's position in the authorship list. I recommend a new supplementary index to score academics, representing the relative contribution to the papers with impact, be reported alongside the h-index. I call this index the AP-index, and it is simply defined as the average position in which an academic appears in authorship lists, on articles that factor in to that academic's h-index.
    Type
    a
  14. Raan, A.F.J. van: Statistical properties of bibliometric indicators : research group indicator distributions and correlations (2006) 0.03
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    Abstract
    In this article we present an empirical approach to the study of the statistical properties of bibliometric indicators on a very relevant but not simply available aggregation level: the research group. We focus on the distribution functions of a coherent set of indicators that are used frequently in the analysis of research performance. In this sense, the coherent set of indicators acts as a measuring instrument. Better insight into the statistical properties of a measuring instrument is necessary to enable assessment of the instrument itself. The most basic distribution in bibliometric analysis is the distribution of citations over publications, and this distribution is very skewed. Nevertheless, we clearly observe the working of the central limit theorem and find that at the level of research groups the distribution functions of the main indicators, particularly the journal- normalized and the field-normalized indicators, approach normal distributions. The results of our study underline the importance of the idea of group oeuvre, that is, the role of sets of related publications as a unit of analysis.
    Date
    22. 7.2006 16:20:22
    Type
    a
  15. Pichappan, P.; Sangaranachiyar, S.: Ageing approach to scientific eponyms (1996) 0.03
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    Abstract
    There is a decrease in the incidence of explicit references to a paper over time, hence the assumption that information ages. In a study which attempts to discover whether information really ages it is necessary to include eponyms, anonyms and footnote references. Reports a pilot study which demonstrates that there is an increase over time in the frequency of use of eponyms
    Footnote
    Report presented at the 16th National Indian Association of Special Libraries and Information Centres Seminar Special Interest Group Meeting on Informatrics in Bombay, 19-22 Dec 94
    Type
    a
  16. Lardy, J.P.; Herzhaft, L.: Bibliometric treatments according to bibliographic errors and data heterogenity : the end-user point of view (1992) 0.03
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    Abstract
    The quality of online and CD-ROM databases is far from satisfactory. Errors are frequently found in listings from online searches. Spelling mistakes are the most common but there are also more misleading errors such as variations of an author's name or absence of homogenity in the content of certain field. Describes breifly a bibliometric study of large amounts of data downloaded from databases to investigate bibliographic errors and data heterogeneity. Recommends that database producers should consider either the implementation of a common format or the recommendations of the Société Française de Bibliométrie
    Type
    a
  17. He, S.; Spink, A.: ¬A comparison of foreign authorship distribution in JASIST and the Journal of Documentation (2002) 0.03
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    Abstract
    He and Spink count the first authors in JASIST and JDoc from 1950 to 1999 whose affiliation is outside the country of origin of each publication and record the time period and the author's geographic location. Foreign authorship in JASIST increased nearly four fold from 1995 to 1999 and the number of represented locations 3.6 times while in the same time period JDoc's foreign authorship doubled and foreign locations increased four fold. The largest foreign location for JDoc is the USA and the largest foreign location for JASIST is the UK. Canada is second on both lists.
    Type
    a
  18. Hyland, K.: Self-citation and self-reference : credibility and promotion in academic publication (2003) 0.03
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    Abstract
    Hyland examines self referencing practices by analyzing their textual uses in 240 randomly chosen research papers and 800 abstracts across 80 expert selected journals from 1997 and 1998 in eight disciplines, as a key to their author's assumptions as to their own role in the research process and to the practices of their disciplines. Scanned texts produced a corpus of nearly 1.5 million words which was searched using WordPilot for first person pronouns and all mentions of an author's previous work. There were 6,689 instances of self reference in the papers and 459 in the abstracts; on the average 28 cases per paper, 17% of which were self citations. There was one self mention in every two abstracts. Nearly 70% of self reference and mention occurred in humanities and social science papers, but biologists employed the most self citation overall and 12% of hard science citations were found to be self citations. Interviews indicated that self citation was deemed important in establishing authority by fitting oneself into the research framework. Self mention arises in four main contexts: stating the goal or the structure of the paper, explaining a procedure, stating results or a claim, and elaborating an argument.
    Type
    a
  19. Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014) 0.03
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    Abstract
    Properties of a percentile-based rating scale needed in bibliometrics are formulated. Based on these properties, P100 was recently introduced as a new citation-rank approach (Bornmann, Leydesdorff, & Wang, 2013). In this paper, we conceptualize P100 and propose an improvement which we call P100'. Advantages and disadvantages of citation-rank indicators are noted.
    Date
    22. 8.2014 17:05:18
    Type
    a
  20. Ohly, P.: Dimensions of globality : a bibliometric analysis (2016) 0.03
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    Date
    20. 1.2019 11:22:31
    Source
    Knowledge organization for a sustainable world: challenges and perspectives for cultural, scientific, and technological sharing in a connected society : proceedings of the Fourteenth International ISKO Conference 27-29 September 2016, Rio de Janeiro, Brazil / organized by International Society for Knowledge Organization (ISKO), ISKO-Brazil, São Paulo State University ; edited by José Augusto Chaves Guimarães, Suellen Oliveira Milani, Vera Dodebei
    Type
    a

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