Searching and ranking researchers by keywords based on author and paper matrix rank

Kingo Osaka, Hung-Hsuan Huang, K. Kawagoe
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引用次数: 1

Abstract

A novice researcher conducting research in a new field, must identify that the preeminent researchers in that field in order to obtain influential papers to refer to. Although some Internet services allow users to search for researchers, these services do not take coauthors and related papers into consideration. In this paper, we propose a new researcher search-and-ranking method that is based on a new matrix called the Author and Paper Matrix (APM). The APM allows coauthor and related-paper references to be embedded as the weight of an APM element. A preliminary evaluation of APM demonstrates that it can help to identify appropriate and influential researchers within a given field.
基于作者和论文矩阵排名的关键词搜索和排名研究人员
一个新手在一个新领域进行研究,必须认识到该领域的杰出研究人员,以便获得有影响力的论文来参考。虽然一些互联网服务允许用户搜索研究人员,但这些服务不考虑共同作者和相关论文。本文提出了一种基于作者与论文矩阵(APM)的研究人员搜索与排名方法。APM允许将合著者和相关论文引用作为APM元素的权重嵌入。对APM的初步评价表明,它可以帮助确定特定领域内合适和有影响力的研究人员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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