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The growing focus in research policy worldwide on top scientists makes itincreasingly important to define adequate supporting measures to help identifyexcellent scientists. Highly cited publications have since long been associatedto research excellence. At the same time, the analysis of the high-end ofcitation distributions still is a challenging topic in evaluativebibliometrics. Evaluations typically require indicators that generatesufficiently stable results when applied to recent publication records oflimited size. Highly cited publications have been identified using twotechniques in particular: pre-set percentiles, and the parameter freeCharacteristic Scores and Scales (CSS) (Gl\"anzel & Schubert, 1988). Thestability required in assessments of relatively small publication records,concerns size as well as content of groups of highly cited publications.Influencing factors include domain delineation and citation window length.Stability in size is evident for the pre-set percentiles, and has beendemonstrated for the CSS-methodology beyond an initial citation period of aboutthree years (Gl\"anzel, 2007). Stability in content is less straightforward,considering for instance that more highly cited publications can have a latercitation peak, as observed by Abt (1981) for astronomical papers. This paperinvestigates the stability in content of groups of highly cited publications,i.e. the extent to which individual publications enter and leave the group asthe citation window is enlarged.

Groups of Highly Cited Publications: Stability in Content with Citation Window Length