Where Should I Publish? Detecting Journal Similarity Based on What Has Been Published There
by: Rob Koopman and Shenghui Wang
Finding similar journals within a large amount of existing ones is not a trivial task. Based on the hypothesis that similar journals publish similar articles, we propose in this paper a scalable method based on random projection to calculate the similarities between 35K journals based on 67 millions articles published with them. We evaluate our results against Dewey Decimal codes and analyse the networks of similar journals.
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ACM Digital Library
Koopman, Rob, and Shenghui Wang. 2014. “Where Should I Publish? Detecting Journal Similarity Based on What Has Been Published There.” In Proceedings of Digital Libraries 2014, 483–484. London, United Kingdom: Association for Computing Machinery.