论文标题
量化科学出版物的高阶影响
Quantifying the higher-order influence of scientific publications
论文作者
论文摘要
引文影响通常使用直接的一阶引文关系评估。相反，我们在这里考虑出版物通过引用对新出版物的间接影响。我们提出了一种新的方法来量化出版物的高阶引文影响，考虑到直接或一阶，间接或高阶引用。特别是，我们对学科水平上的高阶引文影响感兴趣。我们将此方法应用于学科层面的整个科学数据网络。我们发现，很大的影响（42％）来自高阶引用。此外，我们表明，高阶引文影响有助于量化和可视化学科之间的引文流，并评估其跨学科性程度。
Citation impact is commonly assessed using direct, first-order citation relations. We consider here instead the indirect influence of publications on new publications via citations. We present a novel method to quantify the higher-order citation influence of publications, considering both direct, or first-order, and indirect, or higher-order citations. In particular, we are interested in higher-order citation influence at the level of disciplines. We apply this method to the whole Web of Science data at the level of disciplines. We find that a significant amount of influence -- 42% -- stems from higher-order citations. Furthermore, we show that higher-order citation influence is helpful to quantify and visualize citation flows among disciplines, and to assess their degree of interdisciplinarity.
