A data science-based framework to categorize academic journals
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Link
http://link.springer.com/article/10.1007/s11192-019-03035-w/fulltext.html
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3. Bollen, K. A., & Paxton, P. (1998). Detection and determinants of bias in subjective measures. American Sociological Review, 63, 465–478.
4. Bolón-Canedo, V., Sánchez-Maroño, N., & Alonso-Betanzos, A. (2013). A review of feature selection methods on synthetic data. Knowledge and Information Systems, 34(3), 483–519.
5. Bouyssou, D., & Marchant, T. (2011). Bibliometric rankings of journals based on impact factors: An axiomatic approach. Journal of Informetrics, 5(1), 75–86.
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