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  • × theme_ss:"Informetrie"
  1. Maier, S.: Wie Wissenschaftler berühmt werden : Anzahl der Veröffentlichungen zählt - "Google" ist das Maß aller Dinge (2004) 0.00
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    Source
    Online Mitteilungen. 2004, Nr.79, S.20-21 [=Mitteilungen VÖB 57(2004) H.2]
  2. Kretschmer, H.: Similarities and dissimilarities in coauthorship networks : Gestalt theory as explanation for well-ordered collaboration structures and production of scientific literature (2002) 0.00
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  3. Johan Bollen, J.; Van de Sompel, H.: Usage impact factor : the effects of sample characteristics on usage-based impact metrics (2008) 0.00
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  4. White, H.D.; Boell, S.K.; Yu, H.; Davis, M.; Wilson, C.S.; Cole, F.T.H.: Libcitations : a measure for comparative assessment of book publications in the humanities and social sciences (2009) 0.00
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  5. Zhang, H.; Qiu, B.; Ivanova, K.; Giles, C.L.; Foley, H.C.; Yen, J.: Locality and attachedness-based temporal social network growth dynamics analysis : a case study of evolving nanotechnology scientific collaboration networks (2010) 0.00
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  6. Onodera, N.; Iwasawa, M.; Midorikawa, N.; Yoshikane, F.; Amano, K.; Ootani, Y.; Kodama, T.; Kiyama, Y.; Tsunoda, H.; Yamazaki, S.: ¬A method for eliminating articles by homonymous authors from the large number of articles retrieved by author search (2011) 0.00
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  7. Liu, X.; Kaza, S.; Zhang, P.; Chen, H.: Determining inventor status and its effect on knowledge diffusion : a study on nanotechnology literature from China, Russia, and India (2011) 0.00
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  8. Huang, M.-H.; Lin, C.-S.; Chen, D.-Z.: Counting methods, country rank changes, and counting inflation in the assessment of national research productivity and impact (2011) 0.00
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  9. Liu, J.S.; Lu, L.Y.Y.: ¬An integrated approach for main path analysis : development of the Hirsch index as an example (2012) 0.00
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    Object
    h-index
  10. Zhao, D.; Strotmann, A.: ¬The knowledge base and research front of information science 2006-2010 : an author cocitation and bibliographic coupling analysis (2014) 0.00
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    Abstract
    This study continues a long history of author cocitation analysis (and more recently, author bibliographic coupling analysis) of the intellectual structure of information science (IS) into the time period 2006 to 2010 (IS 2006-2010). We find that web technologies continue to drive developments, especially at the research front, although perhaps more indirectly than before. A broadening of perspectives is visible in IS 2006-2010, where network science becomes influential and where full-text analysis methods complement traditional computer science influences. Research in the areas of the h-index and mapping of science appears to have been highlights of IS 2006-2011. This study tests and confirms a forecast made previously by comparing knowledge-base and research-front findings for IS 2001-2005, which expected both the information retrieval (IR) systems and webometrics specialties to shrink in 2006 to 2010. A corresponding comparison of the knowledge base and research front of IS 2006-2010 suggests a continuing decline of the IR systems specialty in the near future, but also a considerable (re)growth of the webometrics area after a period of decline from 2001 to 2005 and 2006 to 2010, with the latter due perhaps in part to its contribution to an emerging web science.
  11. Shema, H.; Bar-Ilan, J.; Thelwall, M.: How is research blogged? : A content analysis approach (2015) 0.00
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  12. Cheng, S.; YunTao, P.; JunPeng, Y.; Hong, G.; ZhengLu, Y.; ZhiYu, H.: PageRank, HITS and impact factor for journal ranking (2009) 0.00
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  13. Amolochitis, E.; Christou, I.T.; Tan, Z.-H.; Prasad, R.: ¬A heuristic hierarchical scheme for academic search and retrieval (2013) 0.00
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  14. Vinkler, P.: Core indicators and professional recognition of scientometricians (2017) 0.00
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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.
  15. Mutz, R.; Wolbring, T.; Daniel, H.-D.: ¬The effect of the "very important paper" (VIP) designation in Angewandte Chemie International Edition on citation impact : a propensity score matching analysis (2017) 0.00
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  16. Sieben Fragen zu Bibliometrie : Antworten von Ilka Agricola, Friedrich Götze, Martin Grötschel, Klaus Hulek, Peter Michor, Gabriele Nebe, Hans Jürgen Prömel, Jens Vygen, Gerhard Woeginger (2017) 0.00
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    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2017, H.4, S.215-224
  17. Fang, H.: ¬A discussion of citations from the perspective of the contribution of the cited paper to the citing paper (2018) 0.00
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  18. Park, H.; You, S.; Wolfram, D.: Informal data citation for data sharing and reuse is more common than formal data citation in biomedical fields (2018) 0.00
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  19. Zhou, H.; Guns, R.; Engels, T.C.E.: Are social sciences becoming more interdisciplinary? : evidence from publications 1960-2014 (2022) 0.00
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  20. Cui, Y.; Wang, Y.; Liu, X.; Wang, X.; Zhang, X.: Multidimensional scholarly citations : characterizing and understanding scholars' citation behaviors (2023) 0.00
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    Abstract
    This study investigates scholars' citation behaviors from a fine-grained perspective. Specifically, each scholarly citation is considered multidimensional rather than logically unidimensional (i.e., present or absent). Thirty million articles from PubMed were accessed for use in empirical research, in which a total of 15 interpretable features of scholarly citations were constructed and grouped into three main categories. Each category corresponds to one aspect of the reasons and motivations behind scholars' citation decision-making during academic writing. Using about 500,000 pairs of actual and randomly generated scholarly citations, a series of Random Forest-based classification experiments were conducted to quantitatively evaluate the correlation between each constructed citation feature and citation decisions made by scholars. Our experimental results indicate that citation proximity is the category most relevant to scholars' citation decision-making, followed by citation authority and citation inertia. However, big-name scholars whose h-indexes rank among the top 1% exhibit a unique pattern of citation behaviors-their citation decision-making correlates most closely with citation inertia, with the correlation nearly three times as strong as that of their ordinary counterparts. Hopefully, the empirical findings presented in this paper can bring us closer to characterizing and understanding the complex process of generating scholarly citations in academia.

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