With growing technological advancements and scientific developments, the number of scientific articles is also witnessing an exponential rise. However, not all research articles receive similar treatment from the research community. A “sleeping beauty” is a metaphor used to address an article that did not receive much attention for a prolonged time since its publication but has witnessed a sudden rise in citations. Identifying these papers and distinguishing them from other citation distributions is of primary interest to researchers in scientometrics. While several methods aid in their identification, they suffer limitations such as a dependence on arbitrary thresholds and inconsistencies in the coefficient values. The current study thus proposes a new and improved coefficient that attempts to distinguish sleeping beauty papers from non-sleeping beau- ties. The initial results suggest that the new coefficient can perform better than other coefficients and thus can be used to characterize sleeping beauties better.