论文标题
第三世界学术研究经理的评估工具
An Assessment Tool for Academic Research Managers in the Third World
论文作者
论文摘要
研究人员出版记录的学术评估与确定有才华的晋升和资金候选人有关。这样做的关键工具是使用网络科学和Scopus提供的索引，这些索引有时超过了世界许多地方的学术机构的可能性。我们在这里展示了一个基础之一中的数据如何用于推断另一个基础索引的主要索引。机器学习中使用的数据分析方法使我们只能选择数据库中数百个变量中的几个，后来在面板回归中使用，从而获得了与其他数据库中的主要索引的良好近似值。由于可以从网络中自由刮擦Scopus的信息，因此该方法允许自由推断出出版物的影响因素，这是全球研究评估中使用的主要索引。
The academic evaluation of the publication record of researchers is relevant for identifying talented candidates for promotion and funding. A key tool for this is the use of the indexes provided by Web of Science and SCOPUS, costly databases that sometimes exceed the possibilities of academic institutions in many parts of the world. We show here how the data in one of the bases can be used to infer the main index of the other one. Methods of data analysis used in Machine Learning allow us to select just a few of the hundreds of variables in a database, which later are used in a panel regression, yielding a good approximation to the main index in the other database. Since the information of SCOPUS can be freely scraped from the Web, this approach allows to infer for free the Impact Factor of publications, the main index used in research assessments around the globe.
