Spearman's footrule, a well-known measure of rank correlation, is extended here to progressively censored rankings. Under the hypothesis of randomness (i.e., under random ranking), a martingale characterization is exploited in the formulation of a functional central limit theorem, and its applications in incomplete rankings are illustrated.