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Out in the Journal of Informetrics (open access): an integrated framework that reconstructs thematic lineages within the same weighted network used to detect themes, using fuzzy document affiliation and a new lineage-strength measure. Tested on the full history of the journal itself, 2007–2025.
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Published in Energy Research & Social Science (open access): using ThemeScope on 537,953 Reddit comments from 2025, we show that online climate discourse is anchored to energy systems, with politics, science and moral contestation as salient interpretative layers.
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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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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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At JADT 2026 in Palermo I received the VADISTAT – Per Simona Balbi Young Award for the contribution "Constructing Climate Change Discourse in the Digital Public Sphere: A Computational Analysis of Social Representations."
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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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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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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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