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Reference Publication Year Spectroscopy (RPYS) has been developed foridentifying the cited references (CRs) with the greatest influence in a givenpaper set (mostly sets of papers on certain topics or fields). The programCRExplorer (see www.crexplorer.net) was specifically developed by Thor, Marx,Leydesdorff, and Bornmann (2016a, 2016b) for applying RPYS to publication setsdownloaded from Scopus or Web of Science. In this study, we present someadvanced methods which have been newly developed for CRExplorer. These methodsare able to identify and characterize the CRs which have been influentialacross a longer period (many citing years). The new methods are demonstrated inthis study using all the papers published in Scientometrics between 1978 and2016. The indicators N_TOP50, N_TOP25, and N_TOP10 can be used to identifythose CRs which belong to the 50%, 25%, or 10% most frequently citedpublications (CRs) over many citing publication years. In the Scientometricsdataset, for example, Lotka's (1926) paper on the distribution of scientificproductivity belongs to the top 10% publications (CRs) in 36 citing years.Furthermore, the new version of CRExplorer analyzes the impact sequence of CRsacross citing years. CRs can have below average (-), average (0), or aboveaverage (+) impact in citing years (whereby average is meant in the sense ofexpected values). The sequence (e.g. 00++---0--00) is used by the program toidentify papers with typical impact distributions. For example, CRs can haveearly, but not late impact ("hot papers", e.g. +++---) or vice versa ("sleepingbeauties", e.g. ---0000---++).

Identifying single influential publications in a research field: New analysis opportunities of the CRExplorer