Text mining was used to derive technical intelligence from an abrupt-wing-stall database derived from the Science Citation Index database. Both concept and document clustering were used to provide the structural taxonomy of the global abrupt-wing-stall literature and the estimated relative levels of effort in the major subcategories. Bibliometric analysis of the abrupt-wing-stall literature generated author/journal/institution publication and citation data.