Search (139 results, page 2 of 7)

  • × theme_ss:"Informetrie"
  • × year_i:[2010 TO 2020}
  1. Prathap, G.: ¬A three-class, three-dimensional bibliometric performance indicator (2014) 0.01
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    Abstract
    In this brief communication, we show how a simple 3D bibliometric performance evaluation based on the zynergy-index (Prathap, 2013) can be simplified by the recently introduced 3-class approach (Ye & Leydesdorff, in press).
  2. Bornmann, L.; Bauer, J.: Which of the world's institutions employ the most highly cited researchers : an analysis of the data from highlycited.com (2015) 0.01
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  3. Bornmann, L.; Bauer, J.: Which of the world's institutions employ the most highly cited researchers : an analysis of the data from highlycited.com (2015) 0.01
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  4. Smolinsky, L.J.: Discrete power law with exponential cutoff and Lotka's law (2017) 0.01
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    Abstract
    One of the first bibliometric laws appeared in Alfred J. Lotka's 1926 examination of author productivity in chemistry and physics. The result was a productivity distribution described by a power law. In this paper, Lotka's original data on author productivity in chemistry are reconsidered. We define a discrete power law with exponential cutoff, test Lotka's data, and compare the fit to the discrete power law.
  5. Renn, O.; Schnabl, J.: Forschungsmetriken: Ignorieren, boykottieren oder nutzen? : Forschungsmetriken in die Praxis gebracht (2017) 0.01
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  6. Kim, J.; Diesner, J.: Coauthorship networks : a directed network approach considering the order and number of coauthors (2015) 0.01
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  7. Min, C.; Ding, Y.; Li, J.; Bu, Y.; Pei, L.; Sun, J.: Innovation or imitation : the diffusion of citations (2018) 0.01
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  8. Foster , J.; McLeod, J.; Greifeneder, J.N.E.: Data work in context : value, risks, and governance (2018) 0.01
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  9. Riechert, M.; Schmitz, J.: Qualitätssicherung von Forschungsinformationen durch visuelle Repräsentation : das Fallbeispiel des "Informationssystems Promotionsnoten" (2017) 0.01
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  10. Frandsen, T.F.; Nicolaisen, J.: Effects of academic experience and prestige on researchers' citing behavior (2012) 0.01
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  11. Schlögl, C.; Gorraiz, J.: Sind Downloads die besseren Zeitschriftennutzungsdaten? : Ein Vergleich von Download- und Zitationsidikatoren (2012) 0.01
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  12. Hu, X.; Rousseau, R.; Chen, J.: ¬A new approach for measuring the value of patents based on structural indicators for ego patent citation networks (2012) 0.01
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  13. Tartanus, M.; Wnuk, A.; Kozak, M.; Hartley, J.: Graphs and prestige in agricultural journals (2013) 0.01
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  14. Nicolaisen, J.; Frandsen, T.F.: Bibliometric evolution : is the journal of the association for information science and technology transforming into a specialty Journal? (2015) 0.01
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  15. Schmitz, J.; Arning, U.; Peters, I.: handbuch.io : Handbuch CoScience / Messung von wissenschaftlichem Impact (2015) 0.01
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  16. Rousseau, R.; Ding, J.: Does international collaboration yield a higher citation potential for US scientists publishing in highly visible interdisciplinary Journals? (2016) 0.01
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  17. Prathap, G.: ¬The zynergy-index and the formula for the h-index (2014) 0.01
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    Abstract
    The h-index, as originally proposed (Hirsch, 2005), is a purely heuristic construction. Burrell (2013) showed that efforts to derive formulae from the mathematical framework of Lotkaian informetrics could lead to misleading results. On this note, we argue that a simple heuristic "thermodynamical" model can enable a better three-dimensional (3D) evaluation of the information production process leading to what we call the zynergy-index.
  18. Egghe, L.: Influence of adding or deleting items and sources on the h-index (2010) 0.01
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    Abstract
    Adding or deleting items such as self-citations has an influence on the h-index of an author. This influence will be proved mathematically in this article. We hereby prove the experimental finding in E. Gianoli and M.A. Molina-Montenegro ([2009]) that the influence of adding or deleting self-citations on the h-index is greater for low values of the h-index. Why this is logical also is shown by a simple theoretical example. Adding or deleting sources such as adding or deleting minor contributions of an author also has an influence on the h-index of this author; this influence is modeled in this article. This model explains some practical examples found in X. Hu, R. Rousseau, and J. Chen (in press).
  19. Chen, C.; Ibekwe-SanJuan, F.; Hou, J.: ¬The structure and dynamics of cocitation clusters : a multiple-perspective cocitation analysis (2010) 0.01
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  20. West, J.; Bergstrom, T.; Bergstrom, C.T.: Big Macs and Eigenfactor scores : don't let correlation coefficients fool you (2010) 0.01
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