The review of advanced methods and techniques for estimating research output in bibliometrics (Part 1)

The authors explore the significant changes in traditional bibliometrics, including distinctive innovations in this area. Within the five-year period (2019– 2024), two processes have had a significant impact on the methods and technologies: these are the COVID-19 pandemic period (recognition of the importance of open research outcomes) and the period of sanctions (an attempt to exclude Russia from the global scientific process). The authors review in brief the improvements of existing methods, e. g. the introduction of the system of beamplot diagrams and research-based citation analysis. The role of scientometrics in global rankings is evaluated. The focus is also made on new vectors of analysis development, such as altmetrics and artificial intelligence. The application of artificial intelligence tools not only ensures high speed but also lays the basis for the entirely new system for comparing scientific publications with the existing array of accumulated knowledge.