  This study investigates the content of the published scientific literature in
the fields of operations research and management science (OR/MS) since the
early 1950s. Our study is based on 80,757 published journal abstracts from 37
of the leading OR/MS journals. We have developed a topic model, using Latent
Dirichlet Allocation (LDA), and extend this analysis to reveal the temporal
dynamics of the field, journals, and topics. Our analysis shows the generality
or specificity of each of the journals, and we identify groups of journals with
similar content, which are both consistent and inconsistent with intuition. We
also show how journals have become more or less unique in their scope. A more
detailed analysis of each journals' topics over time shows significant temporal
dynamics, especially for journals with niche content. This study presents an
observational, yet objective, view of the published literature from OR/MS that
would be of interest to authors, editors, journals, and publishers.
Furthermore, this work can be used by new entrants to the fields of OR/MS to
understand the content landscape, as a starting point for discussions and
inquiry of the field at large, or as a model for other fields to perform
similar analyses.
