Search (157 results, page 1 of 8)

  • × theme_ss:"Informetrie"
  • × type_ss:"a"
  1. H-Index auch im Web of Science (2008) 0.06
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    Content
    "Zur Kurzmitteilung "Latest enhancements in Scopus: ... h-Index incorporated in Scopus" in den letzten Online-Mitteilungen (Online-Mitteilungen 92, S.31) ist zu korrigieren, dass der h-Index sehr wohl bereits im Web of Science enthalten ist. Allerdings findet man/frau diese Information nicht in der "cited ref search", sondern neben der Trefferliste einer Quick Search, General Search oder einer Suche über den Author Finder in der rechten Navigationsleiste unter dem Titel "Citation Report". Der "Citation Report" bietet für die in der jeweiligen Trefferliste angezeigten Arbeiten: - Die Gesamtzahl der Zitierungen aller Arbeiten in der Trefferliste - Die mittlere Zitationshäufigkeit dieser Arbeiten - Die Anzahl der Zitierungen der einzelnen Arbeiten, aufgeschlüsselt nach Publikationsjahr der zitierenden Arbeiten - Die mittlere Zitationshäufigkeit dieser Arbeiten pro Jahr - Den h-Index (ein h-Index von x sagt aus, dass x Arbeiten der Trefferliste mehr als x-mal zitiert wurden; er ist gegenüber sehr hohen Zitierungen einzelner Arbeiten unempfindlicher als die mittlere Zitationshäufigkeit)."
    Date
    6. 4.2008 19:04:22
  2. Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014) 0.05
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    Date
    22. 8.2014 17:12:35
  3. Zhu, Q.; Kong, X.; Hong, S.; Li, J.; He, Z.: Global ontology research progress : a bibliometric analysis (2015) 0.04
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    Date
    20. 1.2015 18:30:22
    17. 9.2018 18:22:23
  4. Ye, F.Y.: ¬A theoretical approach to the unification of informetric models by wave-heat equations (2011) 0.03
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    Abstract
    A simple distribution function f(x, t)=p(x+q)**-ße**alpha*t obeys wave and heat equations, that constructs a theoretical approach to the unification of informetric models, with which we can unify all informetric laws. While its space-type distributions deduce naturally Lotka-type laws in size approaches and Zipf-type laws in rank approaches, its time-type distributions introduce the mechanism of Price-type and Brookes-type laws.
  5. Liu, X.; Chen, X.: Authors' noninstitutional emails and their correlation with retraction (2021) 0.03
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  6. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.02
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    Source
    Information processing and management. 22(1986), S.417-419
  7. Nicolaisen, J.: Citation analysis (2007) 0.02
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    Date
    13. 7.2008 19:53:22
  8. Fiala, J.: Information flood : fiction and reality (1987) 0.02
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    Source
    Thermochimica acta. 110(1987), S.11-22
  9. 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
  10. 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
  11. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.02
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    Date
    22. 7.2006 18:55:29
  12. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.02
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    Date
    22. 7.2006 18:55:55
  13. Cui, Y.; Wang, Y.; Liu, X.; Wang, X.; Zhang, X.: Multidimensional scholarly citations : characterizing and understanding scholars' citation behaviors (2023) 0.02
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  14. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.02
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    Date
    20. 1.2007 17:02:22
  15. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.02
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    Date
    18. 3.2014 19:13:22
  16. Hu, X.: Loads of special authorship functions : linear growth in the percentage of "equal first authors" and corresponding authors (2009) 0.02
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  17. Prathap, G.: Fractionalized exergy for evaluating research performance (2011) 0.02
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    Abstract
    The approach based on "thermodynamic" considerations that can quantify research performance using an exergy term defined as X = iC, where i is the impact and C is the number of citations is now extended to cases where fractionalized counting of citations is used instead of integer counting.
  18. 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) 0.02
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    Abstract
    This study is a follow-up to a published Correspondence Factorial Analysis (CFA) of a dataset of over 6 million bibliometric entries (Doré et al. JASIS, 47(8), 588-602,1996), which compared the publication output patterns of 48 countries in 18 disciplines over a 12-year period (1981-1992). It analyzes by methods suitable for investigating short time series how these output patterns evolved over the 12-year span. Three types of approach are described. (1) the chi**2 distances of the publication output patterns from the center of gravity of the multidimensional system-which represents an average world pattern-were calculated for each country and for each year. We noted whether the patterns moved toward or away from the center with time; (2) individual annual output patterns were introduced as supplementary variables into an existing global overview covering the whole time-span [CFA map of (countries x disciplines)]. We observed how these patterns moved about within the map year by year; (3) the matrix (disciplines x time) was analyzed by CFA to derive time trends for each country. CFA revealed the "inner clocks" governing publication trends. The time scale that best fitted the data was not a linear but an elastic scale. Although different countries laid emphasis on publication in different disciplines, the overall tendency was toward greater uniformity in publication patterns with time
  19. Wagner-Döbler, R.: Kognitive Mobilität und Zipfs "Principle of Least Effort" (2004) 0.02
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    Abstract
    Unter kognitiver Mobilität verstehe ich im folgenden nicht die Mobilität von Information, sondern die Bewegung des Denkens, und zwar hier des wissenschaftlichen Denkens. Wissenschaftliches Denken vollzieht sich disziplinär sowie interdisziplinär, im informationellen Austausch von Disziplinen und Forschungsgebieten. Dieser Austausch unterliegt, wie die Wissenschaftsgeschichte lehrt, einer Entwicklungsdynamik, die als Abfolge von Wanderungen oder Übergängen zwischen Forschungsgebieten in folgendem Sinn verständen werden kann. Beschäftigt sich ein Forscher A zum Zeitpunkt t1 mit Forschungsgebiet X und zum Zeitpunkt t2 als nächstes mit Forschungsgebiet Y, so liegt ein Übergang von X nach Y vor. Gibt es für diese Art von Übergängen charakteristische Eigenschaften oder Regularitäten.> Ein wichtiges Merkmal solcher Übergänge ist der Grad der Verwandtschaft, der kognitiven Affinität zwischen Ausgangs- und Zielgebiet der Migration. Am Beispiel der rund 150.000 Migrationen zwischen den mathematischen Subdisziplinen, wie sie sich in den Zeitschriftenartikel-Nachweisen der Mathematical Reviews von 1959 bis 1975 widerspiegeln, wurde das Verhältnis von kognitiver Mobilität und Affinität empirisch systematisch untersucht. Es bestätigte sich George K. Zipfs "Principle of Least Effort". Zählreiche Mechanismen und Faustregeln der Wissensorganisation dürften der Wirksamkeit dieses Prinzips zugrundeliegen.
  20. Ye, F.Y.; Leydesdorff, L.: ¬The "academic trace" of the performance matrix : a mathematical synthesis of the h-index and the integrated impact indicator (I3) (2014) 0.02
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    Abstract
    The h-index provides us with 9 natural classes which can be written as a matrix of 3 vectors. The 3 vectors are: X = (X1, X2, X3) and indicates publication distribution in the h-core, the h-tail, and the uncited ones, respectively; Y = (Y1, Y2, Y3) denotes the citation distribution of the h-core, the h-tail and the so-called "excess" citations (above the h-threshold), respectively; and Z = (Z1, Z2, Z3) = (Y1-X1, Y2-X2, Y3-X3). The matrix V = (X,Y,Z)T constructs a measure of academic performance, in which the 9 numbers can all be provided with meanings in different dimensions. The "academic trace" tr(V) of this matrix follows naturally, and contributes a unique indicator for total academic achievements by summarizing and weighting the accumulation of publications and citations. This measure can also be used to combine the advantages of the h-index and the integrated impact indicator (I3) into a single number with a meaningful interpretation of the values. We illustrate the use of tr(V) for the cases of 2 journal sets, 2 universities, and ourselves as 2 individual authors.

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