A new tool for the aggregation of rankings is introduced: monometrics.
A procedure for hierarchically combining monometrics is proposed.
The characterization of ranking rules in terms of a consensus state and a monometric is addressed.
The search for the closest profile of rankings in a consensus state is presented as an optimization problem.