Search (73 results, page 2 of 4)

  • × theme_ss:"Informetrie"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. 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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  2. Newby, G.B.; Greenberg, J.; Jones, P.: Open source software development and Lotka's law : bibliometric patterns in programming (2003) 0.01
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  3. Szava-Kovats, E.: Unfounded attribution of the "half-life'' index-number of literature obsolescence to Burton and Kebler : a literature science study (2002) 0.01
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    Abstract
    Szava-Kovats demonstrates that the common attribution of the origin of the concept of half-life in subject-oriented journal literatures to the 1960 Burton and Kebler article in American Documentation is not correct. The first use appears to be in C. R. Gosnell's 1944 paper in College and Research Libraries. It was later discussed by J. D. Bernal at the 1958 International Conference on Scientific Information in Washington, DC. While Burton and Kebler do solve some of the theoretical problems by redefining half-life, they do not express confidence in the use of half-life in this milieu, and Burton later advocates in 1961 the term ``median age'' which was introduced by Broadus in this context in 1953.
  4. Bar-Ilan, J.; Peritz, B.C.: Informetric theories and methods for exploring the Internet : an analytical survey of recent research literature (2002) 0.01
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  5. Nicolaisen, J.; Hjoerland, B.: Practical potentials of Bradford's law : a critical examination of the received view (2007) 0.01
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  6. Janssens, F.; Leta, J.; Glänzel, W.; Moor, B. de: Towards mapping library and information science (2006) 0.01
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  7. Lin, X.; White, H.D.; Buzydlowski, J.: Real-time author co-citation mapping for online searching (2003) 0.01
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  8. Ding, Y.; Yan, E.; Frazho, A.; Caverlee, J.: PageRank for ranking authors in co-citation networks (2009) 0.01
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  9. Bar-Ilan, J.: Informetrics (2009) 0.01
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  10. Umstätter, W.: Szientometrische Verfahren (2004) 0.01
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    Abstract
    Die Szientometrie beschäftigt sich mit der Messbarkeit wissenschaftlicher Leistungen anhand bibliothekarisch nachweisbarer Publikationsergebnisse. Bei genauer Betrachtung ist es ihr Ziel, die Wissenszunahme der Wissenschaft zu messen. Die wissenschaftliche Produktion in Form von Publikationen wächst seit über dreihundert Jahren konstant mit ca. 3,5% pro Jahr. Das entspricht einerVerdopplungsrate von 20 Jahren, die zuerst dem Bibliothekar Fremont Rider 1948 bei Büchern auffiel und die 1963 von Derek J. de Solla Price auch für das Wachstum von Zeitschriften und Bibliografien bestätigt wurde. Die Konstanz dieser Evolution, unabhängig aller sich ereignenden Katastrophen, ist nur zum Teil verstanden, macht aber den unaufhaltsamen Fortschritt der Wissenschaft deutlich. Alle 20 Jahre wird so viel publiziert wie in allen Jahrhunderten davor. Eine etwa gleiche Zunahme verzeichnen die Wissenschaftler, die damit etwa gleich produktiv bleiben. Von ihnen allen sind damit ca. 87% unsere heutigen Zeitgenossen. Aus diesem Wachstum heraus können wir abschätzen, dass in 100.000 laufenden Zeitschriften heute etwa 10 Mio. Publikationen jährlich erscheinen, die von 10 Mio. Wissenschaftlern verfasst werden. Dabei definieren sich nur die als Wissenschaftler, die durchschnittlich eine Publikation jährlich verfassen. Die gesamte Produktion an Buchtiteln, die bisher erschien, dürfte bei etwa 100 Mio. liegen. Davon sind etwa 20 Mio. als wissenschaftlich einzustufen. Wenn folglich 87% aller Wissenschaftler noch heute leben, so betrug die Gesamtzahl der Wissenschaftler in der Welt bisher 11,5 Mio., die in ihrem Leben durchschnittlich 1,5 Bücher pro Kopf verfassten, und etwa das 10-20fache an Zeitschriftenbeiträgen leisteten. Ein Teil dieser Bücher sind allerdings Neuauflagen und Übersetzungen. Nach Lotka, A. J. ist die Produktivität der Wissenschaftler eine schiefe Verteilung von der Form A/n**2, wobei A die Zahl der Autoren mit nur einer Publikation ist und n die Publikationen pro Autor. Während Price in seinen "Networks of Scientific Papers" Vergleichswerte von n**2,5 bis n**3 angab, zeigten Untersuchungen am Science Citation Index (SCI), die auf die gesamte naturwissenschaftliche Literatur hochgerechnet wurden, eher einen Wert von n**1,7. Auf die Tatsache, dass eine Verdopplungsrate der Wissenschaftler von 20 Jahren und eine solche der Menschheit von etwa 50 Jahren dazu führt, dass eines Tages alle Menschen Wissenschaftler werden, hat Price bereits 1963 hingewiesen. Dieser Zustand müsste bei 10 Mio. Wissenschaftlern und 6 Mrd. Menschen in etwa 300 Jahren eintreten, ein nur scheinbar absurder Gedanke, wenn man bedenkt, dass man sich vor 300 Jahren auch kaum vorstellen konnte, dass alle Menschen Lesen, Schreiben und Rechnen lernen können, und dass wir uns ungebildete Menschen immer weniger leisten können.
  11. Huang, X.; Peng, F,; An, A.; Schuurmans, D.: Dynamic Web log session identification with statistical language models (2004) 0.01
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  12. Doré, J.-C.; Ojasoo, T.: How to analyze publication time trends by correspondece factor analysis : analysis of publications by 48 countries in 18 disciplines over 12 years (2001) 0.01
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  13. Kracker, J.; Pollio, H.R.: ¬The experience of libraries across time : thematic analysis of undergraduate recollections of library experiences (2003) 0.01
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  14. Hjoerland, B.; Nicolaisen, J.: Bradford's law of scattering : ambiguities in the concept of "subject" (2005) 0.01
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  15. Li, J.; Willett, P.: ArticleRank : a PageRank-based alternative to numbers of citations for analysing citation networks (2009) 0.01
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  16. Johan Bollen, J.; Van de Sompel, H.: Usage impact factor : the effects of sample characteristics on usage-based impact metrics (2008) 0.01
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  17. Antonakis, J.; Lalive, R.: Quantifying scholarly impact : IQp versus the Hirsch h (2008) 0.01
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  18. Sarabia, J.M.; Sarabia, M.: Explicit expressions for the Leimkuhler curve in parametric families (2008) 0.01
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    Abstract
    In this paper we obtain the Leimkuhler curve in the case of some important statistical distributions proposed in the informetrics and econometrics literature. In this way, we complete the previous work of Burrell [Burrell, Q. L. (2005). Symmetry and other transformation features of Lorenz/Leimkuhler representations of informetric data. Information Processing and Management, 41, 1317-1329], where several open problems were stated. To do this, we use a recent and general definition of the Leimkuhler curve proposed by Sarabia [Sarabia, J. M. (2008a). A general definition of the Leimkuhler curve. Journal of Informetrics, 2, 156-163], and a new representation of the Leimkuhler curve in terms of the first-moment distribution of the population. Specifically, we obtain the Leimkuhler curve of the following distributions: classical and exponentiated Pareto distributions; three-parameter lognormal distribution; generalized gamma distribution, which includes to the exponential and classical gamma distributions among others; generalized beta distribution of the first kind and generalized beta distribution of the second kind, which includes as particular or limiting cases next important families like beta distribution of the second kind, Singh-Maddala, Dagum, Fisk or Lomax distributions. All the obtained Leimkuhler curves can be computed easily.
  19. Wallace, M.L.; Gingras, Y.; Duhon, R.: ¬A new approach for detecting scientific specialties from raw cocitation networks (2009) 0.01
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    Abstract
    We use a technique recently developed by V. Blondel, J.-L. Guillaume, R. Lambiotte, and E. Lefebvre (2008) to detect scientific specialties from author cocitation networks. This algorithm has distinct advantages over most previous methods used to obtain cocitation clusters since it avoids the use of similarity measures, relies entirely on the topology of the weighted network, and can be applied to relatively large networks. Most importantly, it requires no subjective interpretation of the cocitation data or of the communities found. Using two examples, we show that the resulting specialties are the smallest coherent groups of researchers (within a hierarchy of cluster sizes) and can thus be identified unambiguously. Furthermore, we confirm that these communities are indeed representative of what we know about the structure of a given scientific discipline and that as specialties, they can be accurately characterized by a few keywords (from the publication titles). We argue that this robust and efficient algorithm is particularly well-suited to cocitation networks and that the results generated can be of great use to researchers studying various facets of the structure and evolution of science.
  20. Bar-Ilan, J.; Peritz, B.C.: ¬A method for measuring the evolution of a topic on the Web : the case of "informetrics" (2009) 0.01
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