Abstract
The rough set theory has been gaining popularity among researchers and scholars since its inception in 1982. We present this research in commemorating the father of rough sets, Professor Zdzisław Pawlak, and celebrating the 90th anniversary of his birth. Scientometrics is the science that quantitatively measures and analyzes sciences. We use scientometrics approach to quantitatively analyze the contents and citation trends of rough set research. The results presented in this chapter are a follow-up of Yao and Zhang’s work published in 2013. We first identify prolific authors, impact authors, impact research groups, and the most impact papers based on Web of Science database. We provide comparison with previous results and analyses of the changes. We further examine features of journal articles and conference papers in terms of research topics and impacts. The third part of the chapter is to examine highly cited papers identified by Web of Science as top 1% based on the academic field and publication year. In the fourth part, we investigate the top journals of rough set publications. There are some interesting results in key indicators between 2013 and 2016 results, for instance, the number of papers published increased by 35%, the total citations increased by 83%, and the h-index values increased by over 32%, while the average citation per paper increased by about 36%. We also found that the number of publications in the recent 5 years was about one third of the total number of rough set publications. This further indicates that rough sets as a research domain is attracting more researchers and growing healthily.
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Yao, J.T., Onasanya, A. (2017). Recent Development of Rough Computing: A Scientometrics View. In: Wang, G., Skowron, A., Yao, Y., Ślęzak, D., Polkowski, L. (eds) Thriving Rough Sets. Studies in Computational Intelligence, vol 708. Springer, Cham. https://doi.org/10.1007/978-3-319-54966-8_3
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