Massimo Aria
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Scientific Software

R packages, Shiny applications, and scientific tools

Catalogue of open-source tools

Open-source scientific software I have authored or co-authored. Most packages are available on CRAN and GitHub.

Bibliometrix

R package · CRAN · 1.35M+ installations

A comprehensive toolbox for science mapping and bibliometric analysis. Supports the complete workflow: data import, descriptive analysis, network and conceptual mapping, and visualisation.
→ bibliometrix.org

Biblioshiny

Shiny web-app · Interactive front-end for Bibliometrix

A user-friendly Shiny interface for Bibliometrix, enabling researchers to perform advanced bibliometric and science-mapping analyses without writing code.

TALL — Text Analysis for All

R/Shiny · Text mining · NLP

A general-purpose application for text-data analysis, supporting topic modelling, frequency analysis, clustering, and content classification.
→ github.com/massimoaria/tall

E2Tree

R package · Explainable ML

An explainable machine-learning approach based on ensemble trees. Generates interpretable models from complex data, with visual exploration of decision rules.
→ github.com/massimoaria/e2tree

DimensionsR

R package · API client

Programmatic access to the Dimensions API — publications, grants, clinical trials, and patents.
→ github.com/massimoaria/dimensionsR

PubmedR

R package · API client · Medical literature

An R interface to the PubMed API for searching, downloading, and analysing biomedical literature metadata — useful for systematic reviews and medical informatics.
→ github.com/massimoaria/pubmedR

contentanalysis

R package · Scientific PDF analysis

Tools for extracting and analysing scientific content from PDFs, including citation extraction and reference matching.
→ github.com/massimoaria/contentanalysis

openalexR

R package · ROpenSci · API client

An R client for the OpenAlex API, providing access to open bibliographic metadata for scholarly publications, authors, institutions, and citations.
→ docs.ropensci.org/openalexR

PLS-SEM Matlab Toolbox

Matlab / Octave · Structural equation modelling

A Matlab / Octave package for Partial Least Squares Structural Equation Models.
→ github.com/massimoaria/PLS-SEM

 

Massimo Aria · Department of Economics and Statistics · University of Naples Federico II
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