Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews

•Text mining on 1744 OR/MS review papers published between 1956 and 2019.•Bibliography of structured reviews per topic: benchmarks, classifications, taxonomies.•Identifies topics with the highest overall impact and recent trends.•Studies OR/MS impact and topics with the highest presence in other research fields.•Suggests opportunities for future reviews based on research gaps and relevance.