Authorship identity has long been an Achilles’ heel in bibliometric analyses at the individual level. This problem appears
in studies of scientists’ productivity, inventor mobility and scientific collaboration. Using the concepts of cognitive maps
from psychology and approximate structural equivalence from network analysis, we develop a novel algorithm for name disambiguation
based on knowledge homogeneity scores. We test it on two cases, and the results show that this approach outperforms other
common authorship identification methods with the ASE method providing a relatively simple algorithm that yields higher levels
of accuracy with reasonable time demands.