Bibliometrix and its Shiny platform contain the more extensive set of techniques implemented.

Bibliometrix allows R users to import a bibliography database from SCOPUS or the Web of Science, stored either as a Bibtex (.bib) or Plain Text (.txt) file. The package has simple functions which allow for descriptive analyses, for example, in terms of most relevant authors by the number of publications, or the most cited documents sorted by GCS.

It can be used for whole-process bibliometric analysis and visual display. Statistical analysis, data preprocessing, co-occurrence matrix construction, co-citation analysis, coupling analysis, co-word analysis and cluster analysis on documents from the Scopus and Web of Science databases are achievable too. The difference between the two packages is that bibliometrix’s operating mode consists of code commands, while biblioshiny uses the shiny package to encapsulate the core code of bibliometrix and create a web-based online data analysis framework. Biblioshiny allows users to perform relevant bibliometric and visual analyses on an interactive web interface, greatly reducing user’s information input intensity and usage threshold. If the user is not qualified for the analysis function developed by biblioshiny, the bibliometrix traditional code would be called to run the program to meet the basic user needs.

A recent R-package which facilitates a more complete bibliometric analysis, employing specific functions for both bibliometric and scientometric quantitative research, which can easily be integrated with other relevant packages belonging to the R suite of software applications for data manipulation, calculation and graphical display