Abstract
The number of papers, published in different fields, is continually increasing, but the quality of papers varies widely. Scholars evaluate the quality and influence of a paper by the number of times the paper was cited, but the result of this citation quantity method is not accurate enough especially for new papers. Our society needs an accurate, objective and fair evaluation of papers. To address these problems, this article presents a method for evaluating the impact of papers. We analyze the influence of each academic paper in the citation network based on the improved PageRank algorithm and combined with the personal influence of the authors and the published date. Thus, this method tends to select high-quality authors and high-quality citations as high-impact papers. The comparison results showed that our method outperformed the traditional method of citation number and PageRank algorithm.
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Ji, C., Tang, Y., Chen, G. (2020). Analyzing the Influence of Academic Papers Based on Improved PageRank. In: Popescu, E., Hao, T., Hsu, TC., Xie, H., Temperini, M., Chen, W. (eds) Emerging Technologies for Education. SETE 2019. Lecture Notes in Computer Science(), vol 11984. Springer, Cham. https://doi.org/10.1007/978-3-030-38778-5_24
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DOI: https://doi.org/10.1007/978-3-030-38778-5_24
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