Scientometric modelling experience for the detection of research fronts in geophysics

This report presents a bibliometric approach to identifying research fronts in scientific organizations, based on a multiplex analysis of the flow of publications of authors from the analyzed organization. A model for more accurate subject clustering of publications of a scientific organization based on the GRNTI classification is proposed and tested using the example of geophysics research area. Based on metadata from the publication clusters allocated by GRNTI, algorithms for compiling query profiles in a scientometric database for further detection of research fronts are presented.