An Entropy-Based Technique for Conferences Ranking
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-32-9949-8_17
Reference8 articles.
1. Da Silva Almendra, V., Enăchescu, D., Enăchescu, C.: Ranking computer science conferences using self-organizing maps with dynamic node splitting. Scientometrics 102(1), 267–283 (2015)
2. Effendy, S., Yap, R.H.: Investigations on rating computer sciences conferences: an experiment with the Microsoft Academic Graph dataset. In: Proceedings of the 25th International Conference Companion on World Wide Web, pp. 425–430 (2016)
3. Küngas, P., Karus, S., Vakulenko, S., Dumas, M., Parra, C., Casati, F.: Reverse-engineering conference rankings: What does it take to make a reputable conference? Scientometrics 96(2), 651–665 (2013)
4. Reinartz, S.J., Urban, D.: Finance conference quality and publication success: A conference ranking. J. Empir. Finance 42, 155–174 (2017)
5. Sidiropoulos, A., Katsaros, D., Manolopoulos, Y.: Generalized Hirsch h-index for disclosing latent facts in citation networks. Scientometrics 72(2), 253–280 (2007)
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