Can the quality of scientific work be predicted using information on the authorʹs track record?

Many countries are moving towards research policies that emphasize excellence; consequently; they develop evaluation systems to identify universities, research groups, and researchers that can be said to be “excellent.” Such active research policy strategies, in which evaluations are used to concentrate resources, are based on an unsubstantiated assumption that researchersʹ track records are indicative of their future research performance. In this study, information on authorsʹ track records (previous publication volume and previous citation rate) is used to predict the impact of their articles. The study concludes that, to a certain degree, the impact of scientific work can be predicted using information on how often an authorʹs previous publications have been cited. The relationship between past performance and the citation rate of articles is strongest at the high end of the citation distribution. The implications of these results are discussed in the context of a cumulative advantage process.