Awards, Honours & Academic Recognition

Scientific Awards and Distinctions

2026 | Special Mention – Young Statisticians Award for Statistica Applicata

Special mention awarded to Annamaria Porreca for the co-authored contribution Gender-Based Intertemporal Choice Profiling: A Supervised Machine Learning Framework Using Augmented Functional Forests, at the 2026 Annual Conference of the Italian Association for Applied Statistics (ASA), Teramo, Italy.

2024 | Best Conference Paper Award – XLVIII AMASES Conference

The co-authored paper A Behavioral Approach to Inconsistencies in Intertemporal Choices with the Analytic Hierarchy Process Methodology received the Best Conference Paper Award at the XLVIII AMASES Conference, Ischia, Italy, September 6, 2024. The award was presented to co-author Roberta Martino.

2018 | Best Paper Award – 31st IBIMA Conference

Best Paper Award for the co-authored contribution Analyzing Research Impact via Functional Data Analysis: A Powerful Tool for Scholars, Insiders, and Research Organizations, selected as the best paper among approximately 950 submissions at the 31st International Business Information Management Association Conference, Milan, Italy, April 25–26, 2018.

Publication Recognitions

2024 | Wiley Top Cited Paper

The article Pooling Random Forest and Functional Data Analysis for Biomedical Signals Supervised Classification: Theory and Application to Electrocardiogram Data, published in Statistics in Medicine, was recognized by Wiley as one of the journal's ten most cited papers during 2022–2023, according to Web of Science.

2024 | Wiley Top Downloaded Paper

The same article was recognized by Wiley as one of the most downloaded papers in Statistics in Medicine during its first year of publication.

2022 | Weekly Worldwide Feature Paper

The article Pooling Random Forest and Functional Data Analysis for Biomedical Signals Supervised Classification: Theory and Application to Electrocardiogram Data, published in Statistics in Medicine, was selected as the Weekly Worldwide Feature Paper by Stats & Data Science Views.

Research Quality Assessments – ANVUR

2026 | VQR 2020–2024 – Research Quality Assessment

Four research publications evaluated by the Italian National Agency for the Evaluation of Universities and Research Institutes (ANVUR), submitted by Universitas Mercatorum.

• 1 publication rated Class A – Excellent and Extremely Relevant

• 3 publications rated Class B – Excellent

Class A publication:

Supervised Classification of Curves via a Combined Use of Functional Data Analysis and Tree-Based Methods, published in Computational Statistics.

2022 | VQR 2015–2019 – Research Quality Assessment

Four research publications evaluated by ANVUR, submitted by the University of Campania Luigi Vanvitelli.

• 1 publication rated Class A – Excellent and Extremely Relevant

• 3 publications rated Class B – Excellent

Class A publication:

Parametric Functional Analysis of Variance for Fish Biodiversity Assessment, published in the Journal of Environmental Informatics.

National Scientific Qualifications

2023 | National Scientific Qualification for Full Professorship in Statistics

Italian National Scientific Qualification (Abilitazione Scientifica Nazionale) for Full Professor, Area 13, Scientific Sector 13/D1 – Statistics, ASN 2021–2023.

2019 | National Scientific Qualification for Associate Professorship in Statistics

Italian National Scientific Qualification (Abilitazione Scientifica Nazionale) for Associate Professor, Area 13, Scientific Sector 13/D1 – Statistics, ASN 2018–2020.

Scholarships and Research Training Grants

2018 | COST Action IC1408 – Research Training Grant

Awarded a grant of €725 by the Management Committee of COST Action IC1408 to attend the CRoNoS Summer Course on Functional Data Analysis, held in Iași, Romania, in conjunction with COMPSTAT 2018. The COST Action was funded under the European Union's Horizon 2020 Framework Programme.

2011 | PhD Scholarship – Economics & Statistics

Awarded a doctoral scholarship to pursue the PhD Programme in Economics & Statistics (XXVI cycle) at G. d'Annunzio University of Chieti-Pescara, Italy.

PhD thesis: Fuzzy Regression Models, Recent Advancements and Alternative Operations.