Conference proceeding
Topological analysis of interdisciplinary scientific journals: which journals will be the next nature or science ?
Proceedings of the 2015 Conference on research in adaptive and convergent systems, pp 56-61
09 Oct 2015
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.
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Details
- Title
- Topological analysis of interdisciplinary scientific journals
- Creators
- Yongjun ZhuErjia YanIl-Yeol Song
- Publication Details
- Proceedings of the 2015 Conference on research in adaptive and convergent systems, pp 56-61
- Conference
- 2015 Conference on research in adaptive and convergent systems
- Series
- RACS
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-84960925730
- Other Identifier
- 991014976815104721