Tol Richard S J
Scientometrics. 2011 Oct;89(1):291-299. doi: 10.1007/s11192-011-0451-5. Epub 2011 Jul 16.
I propose a new method (Pareto weights) to objectively attribute citations to co-authors. Previous methods either profess ignorance about the seniority of co-authors (egalitarian weights) or are based in an ad hoc way on the order of authors (rank weights). Pareto weights are based on the respective citation records of the co-authors. Pareto weights are proportional to the probability of observing the number of citations obtained. Assuming a Pareto distribution, such weights can be computed with a simple, closed-form equation but require a few iterations and data on a scholar, her co-authors, and her co-authors' co-authors. The use of Pareto weights is illustrated with a group of prominent economists. In this case, Pareto weights are very different from rank weights. Pareto weights are more similar to egalitarian weights but can deviate up to a quarter in either direction (for reasons that are intuitive).
我提出了一种新方法(帕累托权重)来客观地将引用归功于共同作者。以前的方法要么声称对共同作者的资历一无所知(平等权重),要么以一种临时的方式基于作者顺序(排名权重)。帕累托权重基于共同作者各自的引用记录。帕累托权重与观察到获得的引用数量的概率成正比。假设服从帕累托分布,这样的权重可以用一个简单的封闭式方程计算,但需要进行几次迭代,并需要关于一位学者、她的共同作者以及她的共同作者的共同作者的数据。通过一组杰出的经济学家来说明帕累托权重的使用。在这种情况下,帕累托权重与排名权重非常不同。帕累托权重更类似于平等权重,但在任何一个方向上都可能相差多达四分之一(原因很直观)。