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

Lin Zhang, W. Glänzel, Liming Liang

Research output: Contribution to journalArticle

23 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)821-838
Number of pages18
JournalScientometrics
Volume81
Issue number3
DOIs
Publication statusPublished - 2009

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Telecommunication networks
language barrier
Statistical methods
Entropy
scientific journal
communication
information flow
entropy
statistical method
divergence
data analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Social Sciences(all)
  • Library and Information Sciences
  • Law

Cite this

Tracing the role of individual journals in a cross-citation network based on different indicators. / Zhang, Lin; Glänzel, W.; Liang, Liming.

In: Scientometrics, Vol. 81, No. 3, 2009, p. 821-838.

Research output: Contribution to journalArticle

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