  When research groups are evaluated by an expert panel, it is an open question
how one can determine the match between panel and research groups. In this
paper, we outline two quantitative approaches that determine the cognitive
distance between evaluators and evaluees, based on the journals they have
published in. We use example data from four research evaluations carried out
between 2009 and 2014 at the University of Antwerp.
  While the barycenter approach is based on a journal map, the
similarity-adapted publication vector (SAPV) approach is based on the full
journal similarity matrix. Both approaches determine an entity's profile based
on the journals in which it has published. Subsequently, we determine the
Euclidean distance between the barycenter or SAPV profiles of two entities as
an indicator of the cognitive distance between them. Using a bootstrapping
approach, we determine confidence intervals for these distances. As such, the
present article constitutes a refinement of a previous proposal that operates
on the level of Web of Science subject categories.
