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Tracing the role of individual journals in a cross-citation network based on different indicators

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Abstract

This study aims at detecting the role of individual journals and uncovering structural patterns of information flow among scientific journals in a cross-citation network, using different bibliometric indicators and statistical methods of data analysis. Beyond measuring the individual journals’ position within the communication network, we shed light on their cognitive background as well. Language barrier and lacking internationality proved one of the main hindrances for integration into the communication network. Moreover, some document types hinder journals from establishing self-links. Against our expectations, we have found a clear divergence between strongly interlinked and high-entropy journals. Furthermore, the analysis of strong links among different fields allows the detection of high-interdisciplinary journals.

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Authors and Affiliations

  1. WISE Lab, Dalian University of Technology, Dalian, P. R. China

    Lin Zhang & Liming Liang

  2. Dept. MSI, K.U. Leuven, Centre for R&D Monitoring, Leuven, Belgium

    Lin Zhang & Wolfgang Glänzel

  3. Hungarian Academy of Sciences, IRPS, Budapest, Hungary

    Wolfgang Glänzel

  4. Inst. Sci. Technol. & Soc., Henan Normal University, Xinxiang, P. R. China

    Liming Liang

Authors
  1. Lin Zhang
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  2. Wolfgang Glänzel
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  3. Liming Liang
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Correspondence to Wolfgang Glänzel.

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Zhang, L., Glänzel, W. & Liang, L. Tracing the role of individual journals in a cross-citation network based on different indicators. Scientometrics 81, 821–838 (2009). https://doi.org/10.1007/s11192-008-2245-y

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  • DOI: https://doi.org/10.1007/s11192-008-2245-y

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