研究成果：Qikai Niu, Jianlin Zhou, An Zeng, Ying Fan, Zengru Di.(2016). Which publication is your representative work? Journal of Informetrics, 10(3), 842-853. 

简介：随着信息化时代的到来，当今平均每名科学家的科研产出要比过去高很多，而且有的科学家还曾发表过上百篇文章。如何识别一名科学家的代表作是一项重要而且并不简单的科学问题。解决这一问题，有利于更好的评价一名科研工作者的学术成果以及挖掘更有潜力的科研人员。至今，人们通常选取自己的高被引论文或发表在高级别科学杂志上的论文作为自己的代表作。在本文中，我们定义了一名科学家的代表作为该科学家在其擅长领域发表的重要论文，并且提出了利用自规避的偏好扩散过程对科学家的论文进行个性化排序来识别其代表作。我们基于美国物理学会提供的引文数据来验证算法的有效性。结果表明，相对于引文计数以及PageRank方法，自规避的偏好扩散方法能够使得诺贝尔获奖文章的排名更加靠前。并且在引文数据不完整或人为恶意操作情况下，我们的方法也更加鲁棒。除此之外，我们的方法还可以用来揭示不同科学家、科研机构以及国家的研究模式（研究的一致性或多样性）。

Abstract：

As much effort has been made to accelerate the publication of research results, nowadays the number of papers per scientist is much larger than before. In this context, how to identify the representative work for individual researcher is an important yet uneasy problem. Addressing it will help policy makers better evaluate the achievement and potential of researchers. So far, the representative work of a researcher is usually selected as his/her most highly cited paper or the paper published in top journals. Here, we consider the representative work of a scientist as an important paper in his/her area of expertise. Accordingly, we propose a self-avoiding preferential diffusion process to generate personalized ranking of papers for each scientist and identify their representative works. The citation data from American Physical Society (APS) are used to validate our method. We find that the self-avoiding preferential diffusion method can rank the Nobel prize winning paper in each Nobel laureate's personal ranking list higher than the citation count and PageRank methods, indicating the effectiveness of our method. Moreover, the robustness analysis shows that our method can highly rank the representative papers of scientists even if partial citation data are available or spurious behaviors exist. The method is finally applied to revealing the research patterns (i.e. consistency-oriented or diversity-oriented) of different scientists, institutes and countries.

原文链接：http://www.sciencedirect.com/science/article/pii/S1751157716300359