Publications

This page presents a selection of my most relevant publications, organized by research area.
For a complete list, please visit my Google Scholar profile.

Monographs

  1. Aria M. & Cuccurullo C. (2026). Science Mapping Analysis - A primer with Biblioshiny. McGraw-Hill, ISBN: 978-88-386-2297-7.
  2. Pagliara F., Aria M. & Mauriello M. (2025). Models and Applications of Tourists’ Travel Behavior. 1st Edition, Elsevier, ISBN: 9780443265938.
  3. Cuccurullo C., Aria M., Spano M. & D’Aniello L. (2023). Leading Change in Academic Health Science Centers. Zaccaria ed., ISBN: 9788899594213.
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Journal Articles

Bibliometrics, Science Mapping and Text Analysis

  1. Aria, M., Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975, DOI: 10.1016/j.joi.2017.08.007.

  2. 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, DOI: 10.1016/j.softx.2026.102590.

  3. Aria M., Angelelli M., Ciavolino E., Ringle, C.M., Sarstedt M. (2025). Conceptual structure and thematic evolution in partial least squares structural equation modeling research. Quality & Quantity, DOI: 10.1007/s11135-025-02071-4.

  4. Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2024). Comparative science mapping: a novel conceptual structure analysis with metadata. Scientometrics, DOI: 10.1007/s11192-024-05161-6.

  5. Aria, M., Le, T., Cuccurullo, C., Belfiore, A., & Choe, J. (2024). openalexR: An R-Tool for Collecting Bibliometric Data from OpenAlex. The R Journal, DOI: 10.32614/RJ-2023-089.

  6. 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, DOI: 10.1007/s11135-024-01902-0.

  7. 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, DOI: 10.1007/s11205-022-02994-7.

  8. 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, DOI: 10.1016/j.healthpol.2022.09.007.

  9. Belfiore, A., Cuccurullo, C., & Aria, M. (2022). IoT in healthcare: A scientometric analysis. Technological Forecasting and Social Change, 184, DOI: 10.1016/j.techfore.2022.122001.

  10. Aria M., Misuraca M., Spano M. (2020). Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research. Social Indicators Research, DOI: 10.1007/s11205-020-02281-3.

Statistics and Machine Learning

  1. Aria, M., Gnasso, A., Iorio, C., & Fokkema, M. (2025). Extending Explainable Ensemble Trees to regression contexts. Applied Stochastic Models in Business and Industry.

  2. Aria M. et al. (2025). Predicting depression in Italy using random forest through the E2Tree methodology. Annals of Operations Research.

  3. Aria M., Gnasso A., Iorio C., Pandolfo, G. (2023). Explainable Ensemble Trees. Computational Statistics, DOI: 10.1007/s00180-022-01312-6.

  4. 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, DOI: 10.3390/su14063643.

  5. Pandolfo G., Iorio C., Staiano M., Aria M., Siciliano R. (2021). Multivariate process control charts based on the Lp depth. Applied Stochastic Models in Business and Industry, DOI: 10.1002/asmb.2616.

  6. Aria M., Cuccurullo C., Gnasso A. (2021). A comparison among interpretative proposals for Random Forests. Machine learning with Applications, DOI: 10.1016/j.mlwa.2021.100094.

  7. Iorio C., Aria M., D’Ambrosio A., Siciliano R. (2019). Informative Trees by Visual Pruning. Expert Systems with Applications, DOI: 10.1016/j.eswa.2019.03.018.

  8. Aria M., D’Ambrosio A., Iorio C., Siciliano R., Cozza V. (2018). Dynamic recursive tree-based partitioning for malignant melanoma identification in skin lesion dermoscopic images. Statistical Papers, DOI: 10.1007/s00362-018-0997-x.

  9. Siciliano R., D’Ambrosio A., Aria M., Amodio S. (2017). Analysis of Web Visit Histories, Part II: Predicting Navigation by Nested STUMP Regression Trees. Journal of Classification, DOI: 10.1007/s00357-017-9239-5.

  10. D’Ambrosio A., Aria M., et al. (2017). Regression trees for multivalued numerical response variables. Expert Systems with Applications, 69, 1339–1351, DOI: 10.1016/j.eswa.2016.10.021.

  11. Siciliano R., D’Ambrosio A., Aria M., Amodio S. (2016). Analysis of Web Visit Histories, Part I: Distance-Based Visualization of Sequence Rules. Journal of Classification, DOI: 10.1007/s00357-016-9204-8.

  12. D’Ambrosio A., Aria M., et al. (2012). Accurate Tree-based Missing Data Imputation and Data Fusion within the Statistical Learning Paradigm. Journal of Classification, 29(2), 227–258, DOI: 10.1007/s00357-012-9108-1.

  13. Aria, M. (2009). Parallel networks for compositional longitudinal data. Italian Journal of Applied Statistics, 20(1), 5–20.

Tourism, Management, Transportation, and Social Sciences

  1. Aria M., Costanzo D., Misuraca M., Spano M. (2026). Assessing tourism sustainability through stochastic multi-criteria acceptability analysis: insights from the Italian regional context. Management Decision, DOI: 10.1108/md-09-2025-2815.

  2. Pagliara F., Aria M., Brancati G., Moradpour A., Morrison A.M. (2025). A Mixed-Method Study for Identification of Factors Affecting Tourist Destination Performance. Journal of Destination Marketing & Management, DOI: 10.1016/j.jdmm.2025.101018.

  3. Marrone T., Cantone G.F., Caputo F., Cantone L., Aria M. (2025). Unpacking dimensions of brand humanization in the Metaverse Era. Technology in Society, DOI: 10.1016/j.techsoc.2025.103037.

  4. Belfiore A., Cuccurullo C., Aria M. (2022). Financial configurations of Italian private hospitals: an evolutionary analysis. Health Policy, DOI: 10.1016/j.healthpol.2022.05.004.

  5. Pagliara F., Aria M., Russo L. (2021). Measuring retailers’ perceptions of new metro stations inauguration. Land Use Policy, DOI: 10.1016/j.landusepol.2021.105349.

  6. Della Corte V., Aria M., Del Gaudio G., Barney J.B., Cobanoglu C., Sepe F. (2021). The relevance of relational capabilities in collaborative decisions. International Journal of Contemporary Hospitality Management, DOI: 10.1108/ijchm-01-2021-0037.

  7. Pagliara F., Aria M., et al. (2020). A theoretical model linking the development of the transportation system with citizens’ trust in government actors. Papers in Regional Science, DOI: 10.1111/pirs.12570.

  8. Pagliara F., Russo L., Aria M., et al. (2020). Validating a theoretical model of citizens’ trust in tourism development. Socio-Economic Planning Sciences, DOI: 10.1016/j.seps.2020.100922.

  9. Allini A., Aria M., et al. (2018). Motivations behind users’ participation in the standard-setting process: Focus on financial analysts. Journal of Accounting and Public Policy, DOI: 10.1016/j.jaccpubpol.2018.04.002.

  10. Aria M., Gaeta G.L., Marani U. (2018). Similarities and Differences in Competitiveness Among European NUTS2 Regions: An Empirical Analysis Based on 2010–2013 Data. Social Indicators Research, DOI: 10.1007/s11205-018-1909-0.

  11. Della Corte V., Aria M., Del Gaudio G. (2018). Strategic governance in tourist destinations. International Journal of Tourism Research, DOI: 10.1002/jtr.2192.

  12. Della Corte V., Aria M. (2014). Why strategic networks often fail. Some empirical evidence from the area of Naples. Tourism Management, 45, 3–15, DOI: 10.1016/j.tourman.2014.03.010.

  13. Galante, F., Mauriello, F., Montella, A., Pernetti, M., Aria, M., & D’Ambrosio, A. (2010). Traffic calming along rural highways crossing small urban communities: Driving simulator experiment. Accident Analysis & Prevention, 42(6), 1585-1594, DOI: 10.1016/j.aap.2010.03.017.