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Thematical and Impact Differences Between National and International Collaboration on Artificial Intelligence Research

机译:国家和国际人工智能研究合作之间的主题差异和影响差异

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In this paper, an analysis to discover the impact differences in terms of citations between three levels of research collaboration is carried out. Thus, the objective, further than discover what kind of collaboration is more rewarding in terms of impact, is to determine if researchers cover different themes when they collaborate with people from other countries or universities within the same country, and if those themes get more citations. To this end, 12610 documents belonging to the "Computer Science & Artificial Intelligence" Web of Science subject category, and published in 2015 were analyzed. The whole corpus was divided into three different datasets, according to the defined collaboration levels (local, national and international). Results indicate that papers by authors from different countries receive more citations in average, but also, there exist some differences with respect to the research themes between the datasets.
机译:在本文中,进行了一项分析,以发现三个层次的研究合作之间在引文方面的影响差异。因此,除了发现哪种协作在影响方面更有意义以外,目标还在于确定研究人员在与来自其他国家或同一国家的大学的人们进行协作时是否涵盖不同的主题,以及这些主题是否获得更多引用。 。为此,分析了2015年出版的属于“计算机科学与人工智能” Web of Science主题类别的12610份文档。根据定义的协作级别(本地,国家和国际),整个语料库分为三个不同的数据集。结果表明,来自不同国家/地区的作者的论文平均获得较多的引用,但是,在数据集之间的研究主题方面也存在一些差异。

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