It 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, 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 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. R is highly extensible because it is an object-oriented and functional programming language, and therefore is pretty easy to automate analyses and create new functions. As it has an open-software nature, it is also easy to get help from the users’ community, mainly composed by prominent statisticians. Therefore, bibliometrix is flexible and can be rapidly upgraded and can be integrated with other statistical R-packages. That 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. Synthesizing past research findings is one of the most important tasks in advancing a line of research. Various methods exist to summarize the amount of scientific activity in a domain, but bibliometrics has the potential to introduce a systematic, transparent and reproducible review process. This is very relevant in an age when the number of academic publications is rising at a very fast pace and it is increasingly unfeasible to keep track of everything that is being published; and when the emphasis on empirical contributions is resulting in voluminous and fragmented research streams, and a contested ﬁeld. Literature reviews are increasingly playing a crucial role in synthesizing past research findings to effectively use the existing knowledge base, advance a line of research, and give evidence-based insights into the practice of exercising and sustaining professional judgment and expertise. The overwhelming volume of new information, conceptual developments and data are the milieu in which bibliometrics becomes useful, by providing a structured analysis to a large body of information, to infer trends over time, themes researched, identify shifts in the boundaries of the disciplines, to detect most the proliﬁc scholars and institutions, and to show the “big picture” of extant research.