A Bibliometric Review of the Mathematics Journal

In this study, we conduct a bibliometric review of the Mathematics journal to map its thematic structure, and identify major research trends for future build on. Our focuses primarily on clusters derived from an application bibliographic coupling algorithm offers insights into how studies included in sample relate one another form coherent streams. We combine analysis with keyword frequency topic modeling analyses reveal discourse that is taking place more recently. believe systematic/computer-assisted can open path new developments discoveries help editors assess performance historic evolution predict developments. so doing, findings should advance our cumulative understanding those areas consistent scope journal, such as applied mathematics, analytics, computational sciences.