Bibliometrix

bibliometrix is an open-source tool for quantitative research in scientometrics and bibliometrics that includes all the main bibliometric methods of analysis. With biblioshiny, the shiny app introduced from version 2.0 - now to 4.0,bibliometrix has become very easy to use even for those who have no coding skills. Bibliometrix package provides various routines for importing bibliographic data from SCOPUS, Clarivate Analytics' Web of Science, PubMed, Digital Science Dimensions, and Cochrane databases, performing bibliometric analysis, and building data matrices for co-citation, coupling, scientific collaboration analysis, and co-word analysis. bibliometrix is a unique tool, developed in the statistical computing and graphic R language, according to a logical bibliometric workflow. Therefore, bibliometrix is flexible and can be rapidly upgraded, and can be integrated with other statistical R-packages. That's why it is useful in a constantly changing science such as bibliometrics. Today bibliometrix is more than just a statistical tool. It is becoming a community of international developers and users who exchange questions, impressions, opinions, and examples within an open-source project. We said that Bibliometrix includes all the main bibliometric methods of analysis, but we use it, especially for science mapping and not for measuring science, scientists, or scientific productivity. This is very relevant in an age when the number of academic publications is rising at a very fast pace. The overwhelming volume of new information, conceptual developments, and data are the milieu in which bibliometrics becomes useful, by providing a structured analysis of a large body of information, to infer trends over time, themes researched, identify shifts in the boundaries of the disciplines, to detect most the prolic scholars and institutions, and to show the “big picture” of extant research.