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---
title: "Short Bio"
format: html
editor: visual
---
# Massimo Aria
I am a **Full Professor in Statistics for Social Sciences** at the Department of Economics and Statistics of the University of Naples Federico II. I hold a **Ph.D. in Computational Statistics**.
I have been teaching Statistics and Machine Learning in bachelor’s, master’s, and doctoral programs for over 20 years. The courses I currently teach include **Statistics for Social Sciences**, **Advanced Statistical Methods for Social Research**, **Sampling Surveys**, and the **Lab of Machine Learning in R**.
My main research fields include **bibliometrics**, **science mapping**, **systematic literature reviews**, **statistical survey methodology**, **machine learning**, and **text mining**. I have led numerous statistical surveys and data science projects related to economic, social, ethological, and healthcare phenomena.
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## Scientific Activities
I have authored more than **200 peer-reviewed scientific articles**, of which **38** have been classified as “A” (top tier) in scientific area 13 (Economics and Statistics) by **ANVUR** (Italian Agency of University Research Evaluation).
I am the <a href="https://www.k-synth.com" target="_blank"> **K-Synth Academic Spin-off**</a>, a science-centric information and intelligence start-up focused on the extraction and analysis of knowledge from large volumes of heterogeneous data using quantitative, statistical, and data science methods.
I am the Scientific Coordinator of the <a href="https://bibliometrix.org/sssm/" target="_blank"> **Summer School in Science Mapping (SSSM)**</a> and a faculty member of the <a href="https://esss.info/" target="_blank"> **European Summer School of Scientometrics (ESSS)**</a>.
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## Academic and Institutional Roles
- Board member of the **Naples Ph.D. Program in Economics**\
- Board member for over 20 years of the **Ph.D. programs in Computational Statistics** and **Social Sciences and Statistics**\
- Since 2019, board member of the **Master’s degree in Data Science** and in **Economics** (curriculum: Data Scientist for Economics)\
- Since 2010, I have coordinated, together with Prof. C. Cuccurullo, the research group in **bibliometrics and science mapping** at the University of Naples Federico II and the University of Campania L. Vanvitelli ([www.bibliometrix.org](https://www.bibliometrix.org))\
- I have coordinated or participated in **5 European projects**, **3 PNRR projects**, **5 PRIN projects**, **1 FIRB project**, and **11 national or regional projects**\
- Since 2007, I have been a scientific committee member of the **Statistical Algorithms and Software Specialized Team**, ERCIM Working Group on Computational and Methodological Statistics\
- I am currently responsible for the **Research Quality Assessment (VQR)** of the Department of Economics and Statistics
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## Scientific Societies
I am a senior member of the following scientific societies:
- *Società Italiana di Statistica* (SIS)\
- *Associazione Italiana Studi di Popolazione* (AISP)\
- *Associazione di Statistica Applicata* (ASA)\
- *International Statistical Institute* (ISI)\
- *International Association for Statistical Computing* (IASC)
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# Scientific Results and Awards
To date, my publications have received **over 26,100 citations**, and my **H-index is 43**.\
In the last five years alone, my publications have been cited more than **23,200 times**, with an H-index of **38** (source: Google Scholar).
My article *"bibliometrix: An R-tool for comprehensive science mapping analysis"* (2017, *Journal of Informetrics*, IF 5.107) is:
- The **most cited article ever** in the journal (Scopus: 10,300+ citations; Google Scholar: 19,100+)
- One of the **top downloaded** articles on ScienceDirect ([source](https://www.sciencedirect.com/science/article/pii/S1751157717300500))
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# Social Impact of My Research Activities
**Bibliometrix** and its Shiny web app **Biblioshiny** are recognized as the most comprehensive and user-friendly software for science mapping.
In a widely cited review of bibliometric tools, Moral-Muñoz et al. (2020) wrote:
> “At this moment, maybe Bibliometrix and its Shiny platform contain the more extensive set of techniques implemented, and together with the easiness of its interface, could be a great software for practitioners.”
Today, Bibliometrix is one of the **most used** science mapping tools worldwide, with:
- **1,350,000+ installations**
- A **large international community** of researchers actively using and promoting it
- **Over 200 YouTube tutorials** in multiple languages
In the past four years, I have delivered **over 60 seminars** in many Italian doctoral schools (Universities of Bergamo, Brescia, Calabria, Genoa, Polytechnic of Milan, Naples, Pisa, Rome, Salento, among others) and international ones (Universities of Bodø – Norway, Edinburgh, Granada, London, Melbourne, Paris).