- Aria, M. & Cuccurullo, C. (2026)
- Science Mapping Analysis – A primer with Biblioshiny. McGraw-Hill, ISBN: 978-88-386-2297-7.
- Aria, M., Cuccurullo, C., D’Aniello, L., & Spano, M. (2026).
- Biblioshiny and the SAAS Workflow: An Integrated Framework for Transparent and Reproducible Science Mapping. A Demonstration through the Replication of a Study. Journal of Informetrics. https://doi.org/10.1016/j.joi.2026.101837
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Aria, M., Cuccurullo, C., D’Aniello, L., & Spano, M. (2026). SciK-Health: an open-data dashboard for the multidimensional evaluation of Italian academic health science centers.
Quality & Quantity.
https://doi.org/10.1007/s11135-026-02827-6
Aria, M., Spano, M., D’Aniello, L., Cuccurullo, C., & Misuraca, M. (2026).
TALL: Text analysis for all–an interactive R-shiny application for exploring, modeling, and visualizing textual data. SoftwareX, 34, 102590. https://doi.org/10.1016/j.softx.2026.102590
Aria, M., D’Aniello, L., Misuraca, M., & Spano, M. (2026).
Rethinking Thematic Evolution in Science Mapping: An Integrated Framework for Longitudinal Analysis. arXiv preprint https://arxiv.org/abs/2603.06436.
Misuraca, M. (2026).
Text Mining in Bibliometrics and Science Mapping: A Methodological Review. Wiley Interdisciplinary Reviews; Computational Statistics, 18(2), e70066. https://doi.org/10.1002/wics.70066
Angelelli, M., Ciavolino, E., Ringle, C. M., Sarstedt, M., & Aria, M. (2025).
Conceptual structure and thematic evolution in partial least squares structural equation modeling research. Quality & Quantity, 59(3), 2753-2798. https://doi.org/10.1007/s11135-025-02071-4
- Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., Spano, M. (2024)
- Comparative science mapping: a novel conceptual structure analysis with metadata, Scientometrics. https://doi.org/10.1007/s11192-024-05161-6
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Aria, M., D’Aniello, L., Grassia, M. G., Marino, M., Mazza, R., & Stavolo, A. (2024).
Mapping the evolution of gender dysphoria research: a comprehensive bibliometric study. Quality & Quantity, 58(6), 5351-5375. https://doi.org/10.1007/s11135-024-01902-0
D’Aniello, L., Robinson-Garcia, N., Aria, M., & Cuccurullo, C. (2024).
Decoding Knowledge Claims: The Evaluation of Scientific Publication Contributions through Semantic Analysis. arXiv preprint arXiv:2407.18646.
- Ciavolino, E., Aria, M., Cheah, J. H., & Roldán, J. L. (2022).
A tale of PLS Structural Equation Modelling: Episode I — A Bibliometrix Citation Analysis. Social Indicators Research, https://doi.org/10.1007/s11205-022-02994-7.
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- Belfiore, A., Cuccurullo, C., & Aria, M. (2022).
- IoT in healthcare: A scientometric analysis. Technological Forecasting and Social Change, 184, 122001. https://doi.org/10.1016/j.techfore.2022.122001
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- D’Aniello, L., Spano, M., Cuccurullo, C., & Aria, M. (2022).
- Academic Health Centers’ configurations, scientific productivity, and impact: insights from the Italian setting. Health Policy. https://doi.org/10.1016/j.healthpol.2022.09.007
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- Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2022)
Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy. Sustainability, 14(6), 3643, https://doi.org/10.3390/su14063643
- Aria M., Alterisio A., Scandurra A, Pinelli C., D’Aniello B, (2021)
The scholar’s best friend: research trends in dog cognitive and behavioural studies, Animal Cognition. https://doi.org/10.1007/s10071-020-01448-2
- Cuccurullo, C., Aria, M., & Sarto, F. (2016)
Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains, Scientometrics. https://doi.org/10.1007/s11192-016-1948-8
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- Cuccurullo, C., Aria, M., & Sarto, F. (2013)
Twenty years of research on performance management in business and public administration domains. In Academy of Management Proceedings (Vol. 2013, No. 1, p. 14270). Academy of Management. https://doi.org/10.5465/AMBPP.2013.14270abstract