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.
|Title of host publication||Proceeding of the 2015 Research in Adaptive and Convergent Systems, RACS 2015|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||6|
|Publication status||Published - 2015 Oct 9|
|Event||Research in Adaptive and Convergent Systems, RACS 2015 - Prague, Czech Republic|
Duration: 2015 Oct 9 → 2015 Oct 12
|Name||Proceeding of the 2015 Research in Adaptive and Convergent Systems, RACS 2015|
|Conference||Research in Adaptive and Convergent Systems, RACS 2015|
|Period||15/10/9 → 15/10/12|
Bibliographical notePublisher Copyright:
© 2015 ACM.
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Control and Systems Engineering