@inproceedings{64b6617c2d184d57a4a72cd5de6c59fc,
title = "Evaluating and ranking patents using weighted citations",
abstract = "Citation counts have been widely used in a digital library for purposes such as ranking scientific publications and evaluating patents. This paper demonstrates that distinguishing different types of citations could rank better for these purposes. We differentiate patent citations along two dimensions (assignees and technologies) into four types, and propose a weighted citation approach for assessing and ranking patents. We investigate five weight learning methods and compare their performance. Our weighted citation method performs consistently better than simple citation counts, in terms of rank correlations with patent renewal status. The estimated weights on different citations are consistent with economic insights on patent citations. Our study points to an interesting and promising research line on patent citation and network analysis that has not been explored.",
author = "Sooyoung Oh and Zhen Lei and Prasenjit Mitra and John Yen",
year = "2012",
doi = "10.1145/2232817.2232870",
language = "English (US)",
isbn = "9781450311540",
series = "Proceedings of the ACM/IEEE Joint Conference on Digital Libraries",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "281--284",
booktitle = "JCDL 2012 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries",
address = "United States",
note = "12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2012 ; Conference date: 10-06-2012 Through 14-06-2012",
}