Generates a list, with a size defined by the user, containing the main scientific references and the frequency distribution of authors and journals in the list obtained.
    The database is a dataframe with academic production metadata made available by bibliographic collections such as Scopus, Web of Science, etc.
    The temporal evolution of scientific production on a given topic is presented and ordered lists of articles are constructed by number of citations and of authors and journals by level of productivity.
    Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>.
    Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.

Identifies and visualizes document overlap in any number of bibliographic datasets.
    This package implements the identification of overlapping documents through the exact match of a unique 
    identifier (e.g. Digital Object Identifier - DOI) and, for records where the identifier is absent, through a score calculated 
    from a set of fields commonly found in bibliographic datasets (Title, Source, Authors and Publication Year).
    Additionally, it provides functions to visualize the results of the document matching through a Venn diagram 
    and/or UpSet plot, as well as a summary of the matching procedure.

Currently, the package provides several functions for plotting and analyzing bibliometric data (JIF, Journal Impact Factor, and paper percentile values), beamplots with citations and percentiles, and three plot functions to visualize the result of a reference publication year spectroscopy (RPYS) analysis performed in the free software 'CRExplorer' (see <http://crexplorer.net>). Further extension to more plot variants is planned.

Developed for the following tasks. 1- Simulating and computing the maximum likelihood 
              estimator for the Birnbaum-Saunders (BS) distribution, 2- Computing the Bayesian estimator for
              the parameters of the BS distribution based on reference prior proposed by Xu and Tang (2010)
              <doi:10.1016/j.csda.2009.08.004> and conjugate prior. 3- Computing the Bayesian estimator for
              the BS distribution based on conjugate prior. 4- Computing the Bayesian estimator for the BS
              distribution based on Jeffrey prior given by Achcar (1993) <doi:10.1016/0167-9473(93)90170-X>
              5- Computing the Bayesian estimator for the BS distribution under progressive type-II censoring
              scheme.