The issue of self-citation has received much attention in academia. Widely used and accessible tools such as Google Scholar do not provide information about self-citations. Therefore, a simple and practical back-of-the-envelope test for identifying researchers with strategic self-citations is proposed without access to self-citation information. It is shown that the h -index squared divided by the number of citations predicts self-citations. The test is simple to apply based on Google Scholar author profiles. Bibliometric data for more than 100,000 researchers worldwide were used to assess the proposed test. Test values of 0.35 or more indicate high ratios of self-citation while test values below 0.2 suggest low ratios of self-citations.

中文翻译：

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使用 Google Scholar 作者简介进行自引的简单粗略测试

自引问题在学术界备受关注。Google Scholar 等广泛使用且可访问的工具不提供有关自引的信息。因此，提出了一种简单实用的粗略测试，用于识别具有战略性自引的研究人员，而无需访问自引信息。结果表明，h 指数的平方除以被引次数可以预测自引。根据 Google Scholar 作者个人资料，该测试易于应用。全球超过 100,000 名研究人员的文献计量数据被用于评估拟议的测试。0.35 或更高的测试值表明自引率高，而低于 0.2 的测试值表明自引率低。