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Paper A multi-phase reference matching algorithm paper in Scientometrics
8 August 2026 · New publication

A multi-phase reference matching algorithm for bibliometric analysis

Out in Scientometrics: an unsupervised, seven-phase algorithm that consolidates cited-reference variants with no training data, no external APIs, and no network access. By integrating the ISO 4 LTWA directly into the pipeline, it recovers citations that journal-name fragmentation had scattered. Already available in bibliometrix and Biblioshiny.

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Paper ThemeScope paper in Journal of Information Science
17 July 2026 · New publication

ThemeScope: mapping social representations in digital arenas

Our new quantitative thematic-analysis method, ThemeScope, has been published in Journal of Information Science. It builds sentence-level co-occurrence networks and maps thematic communities onto a strategic diagram grounded in Social Representation Theory, and comes with the open-source themescopeR package.

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Milestone Certificate of the National Scientific Qualification as Associate Professor
12 June 2026 · Career milestone

National Scientific Qualification as Associate Professor

I have achieved the Abilitazione Scientifica Nazionale (ASN) as Associate Professor, awarded in the 2023/2025 call for the disciplinary field 13/D3 – Demography and Social Statistics. Not a position, but the national recognition that makes one eligible for associate professorships across Italy.

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Paper Biblioshiny and the SAAS Workflow paper in Journal of Informetrics
1 June 2026 · New publication

Biblioshiny and the SAAS Workflow

Published in Journal of Informetrics, this paper presents an integrated framework for transparent and reproducible science mapping through Biblioshiny, demonstrated by fully replicating an existing study step by step.

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Paper TALL paper in SoftwareX
6 March 2026 · New publication

TALL: Text Analysis for All, published in SoftwareX

After more than a year of work and a warm reception on CRAN, our official paper on TALL is out in SoftwareX. The paper walks through the app's core workflow, a robust framework built to support a wide range of options and advanced text-analysis features, all without any coding.

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