标题： 第三世界学术研究管理人员的评估工具 显示英文标题

标题： An Assessment Tool for Academic Research Managers in the Third World

摘要： 对研究人员出版记录的学术评估对于识别有才华的晋升和资助候选人是相关的。 这一过程的关键工具是使用Web of Science和SCOPUS提供的索引，这些昂贵的数据库在世界许多地区的学术机构中有时超出了其能力范围。 我们在这里展示了如何利用其中一个数据库中的数据来推断另一个数据库的主要索引。 机器学习中使用的数据分析方法使我们能够从数据库中的数百个变量中仅选择少数几个，这些变量随后用于面板回归，从而得到对另一个数据库主要索引的良好近似。 由于SCOPUS的信息可以从网络上免费抓取，这种方法允许免费推断出版物的影响因子，这是全球研究评估中使用的主要索引。 显示英文摘要

摘要： 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.