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Citations, journal ranking and multiple authorships reconsidered: evidence from almost one million articles

机译:重新考虑引文,期刊排名和多位作者:将近一百万篇文章的证据

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In this article, we reconsider the investigation by Moosa (2016) using a much larger data set of almost one million articles listed in Research Papers in Economics. This article provides new insights into the effects of co-authorship on citation counts and the correlation between quality of papers and quality of the publishing journal. Our evidence is partially in contrast to the results reported in Moosa (2016). We find a positive correlation between the h-index of a journal and the quality of papers measured in terms of citations. This correlation becomes almost perfect using a nonlinear model. Results from a regression of citation counts on the number of authors show evidence of a positive and significant effect of co-authorship on the quality of a paper when time effects and large sets of top-cited articles are taken into account. The inclusion of time effects and the large data set, that allows to differentiate between top-cited cohorts, adds further insights to the existing literature.
机译:在本文中,我们使用经济学研究论文中列出的近一百万篇文章的更大数据集,重新考虑了Moosa(2016)的调查。本文提供了关于共同作者对引文计数的影响以及论文质量与出版期刊质量之间相关性的新见解。我们的证据与Moosa(2016)中报告的结果部分相反。我们发现期刊的h指数与以引文计量的论文质量之间呈正相关。使用非线性模型,这种相关性几乎变得完美。引用计数对作者数量的回归结果表明,考虑到时间效应和大量热门论文后,共同作者对论文质量产生了积极而显着的影响。时间效应和大数据集的加入使我们可以区分热门人群,这为现有文献提供了更多的见解。

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