Scientific Software

  • Bibliometrix
    An R package for comprehensive science mapping and bibliometric analysis. It supports a full bibliometric workflow, including data import, descriptive analysis, science mapping, and visualization.
    🔗 bibliometrix.org

  • Biblioshiny
    A user-friendly Shiny web interface for Bibliometrix, enabling researchers to conduct advanced bibliometric and science mapping analyses without coding.

  • TAll – Text Analysis for All
    A general-purpose R Shiny application for text data analysis, supporting topic modeling, frequency analysis, clustering, and content classification.
    🔗 https://github.com/massimoaria/tall

  • E2Tree
    An explainable machine learning approach based on ensemble trees, designed to generate interpretable models from complex data, with visual exploration tools for decision rules.
    🔗 https://github.com/massimoaria/e2tree

  • DimensionsR
    An R package that provides programmatic access to the Dimensions API, allowing bibliometric researchers to retrieve and analyze data on publications, grants, clinical trials, and patents.
    🔗 https://github.com/massimoaria/dimensionsR

  • PubmedR
    An R interface to the PubMed API for searching, downloading, and analyzing biomedical literature metadata, useful for systematic literature reviews and medical informatics.
    🔗 https://github.com/massimoaria/pubmedR

  • OpenalexR
    An R client for the OpenAlex API, facilitating access to open bibliographic metadata for scholarly publications, authors, institutions, and citations.
    🔗 https://docs.ropensci.org/openalexR/