We propose measures of the impact of research that improve on existing ones such as counting of number of papers, citations and $h$-index. Since different papers and different fields have largely different average number of co-authors and of references we replace citations with individual citations, shared among co-authors. Next, we improve on citation counting applying the PageRank algorithm to citations among papers. Being time-ordered, this reduces to a weighted counting of citation descendants that we call PaperRank. Similarly, we compute an AuthorRank applying the PageRank algorithm to citations among authors. These metrics quantify the impact of an author or paper taking into account the impact of those authors that cite it. Finally, we show how self- and circular- citations can be eliminated by defining a closed market of citation-coins. We apply these metrics to the InSpire database that covers fundamental physics, ranking papers, authors, journals, institutes, towns, countries, continents, genders, for all-time and in recent time periods.
翻译:由于不同论文和不同领域的共同作者和参考文献的平均数量大不相同,我们用共同作者之间的个别引用来取代引文。接下来,我们改进了引用的计算方法,将PageRank算法应用于论文之间的引文。我们按时间顺序对引文后代进行加权计算。同样,我们计算出作者Rank使用PageRank算法来计算作者之间的引文。这些衡量标准将作者或论文的影响量化,同时考虑到引用引文的作者的影响。最后,我们表明如何通过界定一个封闭的引文库市场来消除自我引用和循环引用。我们将这些衡量标准应用到InSpire数据库,该数据库涵盖基本物理学、排名文件、作者、期刊、研究所、城镇、国家、大陆、性别等所有时间和近期。