Search (104 results, page 2 of 6)

  • × theme_ss:"Informetrie"
  • × year_i:[2010 TO 2020}
  1. Prathap, G.: Measures for bibliometric size, impact, and concentration (2015) 0.02
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  2. 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
  3. Prathap, G.: ¬A three-class, three-dimensional bibliometric performance indicator (2014) 0.02
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  4. Vinkler, P.: Core indicators and professional recognition of scientometricians (2017) 0.02
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    Abstract
    The publication performance of 30 scientometricians is studied. The individuals are classified into 3 cohorts according to their manifested professional recognition, as Price medalists (Pm), members of the editorial board of Scientometrics and the Journal of Informetrics (Rw), and session chairs (Sc) at an International Society of Scientometrics and Informetrics (ISSI) conference. Several core impact indicators are calculated: h, g, p, citation distribution score (CDS), percentage rank position (PRP), and weight of influence of papers (WIP10). The indices significantly correlate with each other. The mean value of the indices of the cohorts decreases parallel with the decrease in professional recognition: Pm?>?Rw?>?Sc. The 30 scientometricians studied were clustered according to the core impact indices. The members in the clusters so obtained overlap only partly with the members in the cohorts made by professional recognition. The Total Overlap is calculated by dividing the sum of the diagonal elements in the cohorts-clusters matrix with the total number of elements, times 100. The highest overlap (76.6%) was obtained with the g-index. Accordingly, the g-index seems to have the greatest discriminative power in the system studied. The cohorts-clusters method may be used for validating scientometric indicators.
  5. Ye, F.Y.; Yu, S.S.; Leydesdorff, L.: ¬The Triple Helix of university-industry-government relations at the country level and its dynamic evolution under the pressures of globalization (2013) 0.02
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    Abstract
    Using data from the Web of Science (WoS), we analyze the mutual information among university, industry, and government addresses (U-I-G) at the country level for a number of countries. The dynamic evolution of the Triple Helix can thus be compared among developed and developing nations in terms of cross-sectional coauthorship relations. The results show that the Triple Helix interactions among the three subsystems U-I-G become less intensive over time, but unequally for different countries. We suggest that globalization erodes local Triple Helix relations and thus can be expected to have increased differentiation in national systems since the mid-1990s. This effect of globalization is more pronounced in developed countries than in developing ones. In the dynamic analysis, we focus on a more detailed comparison between China and the United States. Specifically, the Chinese Academy of the (Social) Sciences is changing increasingly from a public research institute to an academic one, and this has a measurable effect on China's position in the globalization.
  6. Prathap, G.: ¬A thermodynamic explanation for the Glänzel-Schubert model for the h-index (2011) 0.01
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  7. Prathap, G.: Fractionalized exergy for evaluating research performance (2011) 0.01
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  8. Prathap, G.: ¬The zynergy-index and the formula for the h-index (2014) 0.01
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  9. Haley, M.R.; McGee, M.K.: ¬A parametric "parent metric" approach for comparing maximum-normalized journal ranking metrics (2018) 0.01
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    Abstract
    This article proposes a parametric approach for facilitating inter-metric and inter-field comparisons of citation-based journal ranking metrics. The mechanism is simple to apply and adjusts for metric magnitude differentials and distributional asymmetries in the rank-score curves. The method is demonstrated using h-index, AWCR-index, g-index, and e-index data from journals in Accounting, Economics, and Finance.
  10. Callahan, A.; Hockema, S.; Eysenbach, G.: Contextual cocitation : augmenting cocitation analysis and its applications (2010) 0.01
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  11. Tang, L.; Hu, G.; Liu, W.: Funding acknowledgment analysis : queries and caveats (2017) 0.01
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  12. Scholarly metrics under the microscope : from citation analysis to academic auditing (2015) 0.01
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    Date
    22. 1.2017 17:12:50
  13. Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014) 0.01
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    Date
    22. 8.2014 17:05:18
  14. Ohly, P.: Dimensions of globality : a bibliometric analysis (2016) 0.01
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    Date
    20. 1.2019 11:22:31
  15. Crespo, J.A.; Herranz, N.; Li, Y.; Ruiz-Castillo, J.: ¬The effect on citation inequality of differences in citation practices at the web of science subject category level (2014) 0.01
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    Abstract
    This article studies the impact of differences in citation practices at the subfield, or Web of Science subject category level, using the model introduced in Crespo, Li, and Ruiz-Castillo (2013a), according to which the number of citations received by an article depends on its underlying scientific influence and the field to which it belongs. We use the same Thomson Reuters data set of about 4.4 million articles used in Crespo et al. (2013a) to analyze 22 broad fields. The main results are the following: First, when the classification system goes from 22 fields to 219 subfields the effect on citation inequality of differences in citation practices increases from ?14% at the field level to 18% at the subfield level. Second, we estimate a set of exchange rates (ERs) over a wide [660, 978] citation quantile interval to express the citation counts of articles into the equivalent counts in the all-sciences case. In the fractional case, for example, we find that in 187 of 219 subfields the ERs are reliable in the sense that the coefficient of variation is smaller than or equal to 0.10. Third, in the fractional case the normalization of the raw data using the ERs (or subfield mean citations) as normalization factors reduces the importance of the differences in citation practices from 18% to 3.8% (3.4%) of overall citation inequality. Fourth, the results in the fractional case are essentially replicated when we adopt a multiplicative approach.
  16. Yan, E.: Finding knowledge paths among scientific disciplines (2014) 0.01
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    Date
    26.10.2014 20:22:22
  17. Zhu, Q.; Kong, X.; Hong, S.; Li, J.; He, Z.: Global ontology research progress : a bibliometric analysis (2015) 0.01
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    Date
    20. 1.2015 18:30:22
    17. 9.2018 18:22:23
  18. Campanario, J.M.: Large increases and decreases in journal impact factors in only one year : the effect of journal self-citations (2011) 0.01
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    Date
    22. 1.2011 12:53:00
  19. Ding, Y.: Applying weighted PageRank to author citation networks (2011) 0.01
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    Date
    22. 1.2011 13:02:21
  20. Schlögl, C.: Internationale Sichtbarkeit der europäischen und insbesondere der deutschsprachigen Informationswissenschaft (2013) 0.01
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    Date
    22. 3.2013 14:04:09

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