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PR-Index: Using the h-Index and PageRank for Determining True Impact

机译:PR-Index:使用h-Index和PageRank确定真实影响

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摘要

Several technical indicators have been proposed to assess the impact of authors and institutions. Here, we combine the h-index and the PageRank algorithm to do away with some of the individual limitations of these two indices. Most importantly, we aim to take into account value differences between citations-evaluating the citation sources by defining the h-index using the PageRank score rather than with citations. The resulting PR-index is then constructed by evaluating source popularity as well as the source publication authority. Extensive tests on available collections data (i.e., Microsoft Academic Search and benchmarks on the SIGKDD innovation award) show that the PR-index provides a more balanced impact measure than many existing indices. Due to its simplicity and similarity to the popular h-index, the PR-index may thus become a welcome addition to the technical indices already in use. Moreover, growth dynamics prior to the SIGKDD innovation award indicate that the PR-index might have notable predictive power.
机译:已经提出了一些技术指标来评估作者和机构的影响。在这里,我们结合使用h-index和PageRank算法来消除这两个索引的某些局限性。最重要的是,我们旨在通过使用PageRank评分而不是使用引文定义h指数来考虑引文之间的价值差异,即评估引文来源。然后,通过评估来源受欢迎程度以及来源发布权限来构建最终的PR索引。对可用馆藏数据的大量测试(即Microsoft Academic Search和SIGKDD创新奖的基准测试)表明,公关指数比许多现有指数提供了更加平衡的影响力衡量指标。由于它的简单性和与流行的h指数的相似性,PR指数可能因此成为已经使用的技术指数的受欢迎的补充。此外,SIGKDD创新奖之前的增长动力表明PR指数可能具有显着的预测能力。

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