Topological analysis of interdisciplinary scientific journals: Which journals will be the next Nature or Science?

Yongjun Zhu, Erjia Yan, Il Yeol Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Identifying prestigious interdisciplinary journals is very significant for researchers. By publishing research works in prestigious journals, researchers can better propagate their works and get spotlights. Even though the quality of a paper is not represented by the journal that publish the paper, it is a general concern of researchers that how to identify a set of good journals to submit their papers. Nature and Science are the two journals that have been considering as the two top interdisciplinary journals worldwide. In this paper, we propose a method for identifying journals that have the potential to become the next Nature and Science through topological analysis of interdisciplinary scientific journals using citation data. By applying three different statistical methods (i.e., Multidimensional scaling, Principal component analysis, Cluster analysis), we identified a set of journals in which PNAS has the highest possibility to become the next Nature and Science. The study showed that citation data is a powerful data to measure similarity among journals.

Original languageEnglish
Title of host publicationProceeding of the 2015 Research in Adaptive and Convergent Systems, RACS 2015
PublisherAssociation for Computing Machinery, Inc
Pages56-61
Number of pages6
ISBN (Electronic)9781450337380
DOIs
Publication statusPublished - 2015 Oct 9
EventResearch in Adaptive and Convergent Systems, RACS 2015 - Prague, Czech Republic
Duration: 2015 Oct 92015 Oct 12

Publication series

NameProceeding of the 2015 Research in Adaptive and Convergent Systems, RACS 2015

Conference

ConferenceResearch in Adaptive and Convergent Systems, RACS 2015
Country/TerritoryCzech Republic
CityPrague
Period15/10/915/10/12

Bibliographical note

Publisher Copyright:
© 2015 ACM.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Control and Systems Engineering

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