2026 Riccardo Bellazzi: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	59	3463	3367	64	62	399	12348

Research.com Recognitions

2025 - Research.com Computer Science in Italy Leader Award
2022 - Research.com Computer Science in Italy Leader Award

Overview

Riccardo Bellazzi is affiliated with the University of Pavia in Italy. Their research primarily spans the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with a significant focus on subfields such as Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, and Epidemiology.

The scientist's main research topics include:

Machine Learning in Healthcare
Artificial Intelligence in Healthcare and Education
Biomedical Text Mining and Ontologies
Long-Term Effects of COVID-19
Explainable Artificial Intelligence (XAI)
COVID-19 diagnosis using AI
COVID-19 Clinical Research Studies

Riccardo Bellazzi's recent publications reflect contributions to multiple areas within health informatics and artificial intelligence in medicine. Notable papers include:

"Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools," 2020, Frontiers in Oncology
"International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium," 2020, npj Digital Medicine
"Evolving phenotypes of non-hospitalized patients that indicate long COVID," 2021, BMC Medicine
"A manifesto on explainability for artificial intelligence in medicine," 2022, Artificial Intelligence in Medicine
"Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview," 2021, Briefings in Bioinformatics

Frequent co-authors collaborating with Bellazzi include:

Arianna Dagliati
Giovanna Nicora
Alberto Malovini
Paul Avillach
David A. Hanauer

In terms of publication venues, Bellazzi has consistently published work in highly regarded outlets such as:

bioRxiv (Cold Spring Harbor Laboratory)
arXiv (Cornell University)
SSRN Electronic Journal
Artificial Intelligence in Medicine
Scientific Reports

Best Publications

Predictive data mining in clinical medicine: Current issues and guidelines

Riccardo Bellazzi;Blaz Zupan;Blaz Zupan

1097
Citations
Position paper: The coming of age of artificial intelligence in medicine

Vimla L. Patel;Edward H. Shortliffe;Mario Stefanelli;Peter Szolovits

657
Citations
Atlas of the clinical genetics of human dilated cardiomyopathy

Jan Haas;Karen S. Frese;Barbara Peil;Wanda Kloos

618
Citations
Machine Learning Methods to Predict Diabetes Complications

Arianna Dagliati;Simone Marini;Lucia Sacchi;Giulia Cogni

390
Citations
Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools.

Giovanna Nicora;Francesca Vitali;Arianna Dagliati;Arianna Dagliati;Nophar Geifman

260
Citations
The MOGE(S) Classification of Cardiomyopathy for Clinicians

Eloisa Arbustini;Navneet Narula;Luigi Tavazzi;Alessandra Serio

251
Citations
Cased-Based Reasoning for medical knowledge-based systems

Rainer Schmidt;Stefania Montani;Riccardo Bellazzi;Luigi Portinale

225
Citations
Big Data and Biomedical Informatics: A Challenging Opportunity

Riccardo Bellazzi

217
Citations
Data mining with Temporal Abstractions: learning rules from time series

Lucia Sacchi;Cristiana Larizza;Carlo Combi;Riccardo Bellazzi

192
Citations
A telemedicine support for diabetes management: the T-IDDM project.

R Bellazzi;C Larizza;S Montani;A Riva

185
Citations
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

Gabriel A. Brat;Griffin M. Weber;Nils Gehlenborg;Paul Avillach

182
Citations
Web-based telemedicine systems for home-care: technical issues and experiences

Riccardo Bellazzi;Stefania Montani;Alberto Riva;Mario Stefanelli

174
Citations
Temporal data mining for the quality assessment of hemodialysis services

Riccardo Bellazzi;Cristiana Larizza;Paolo Magni;Roberto Bellazzi

145
Citations
Predictive data mining in clinical medicine: a focus on selected methods and applications

Riccardo Bellazzi;Fulvia Ferrazzi;Lucia Sacchi

145
Citations
Patient similarity for precision medicine: A systematic review

Enea Parimbelli;Enea Parimbelli;Simone Marini;Lucia Sacchi;Riccardo Bellazzi

144
Citations
MTGO: PPI Network Analysis Via Topological and Functional Module Identification

Danila Vella;Simone Marini;Francesca Vitali;Dario Di Silvestre

140
Citations
The Genetic Landscape of Renal Complications in Type 1 Diabetes.

Niina Sandholm;Natalie Van Zuydam;Natalie Van Zuydam;Natalie Van Zuydam;Emma Ahlqvist;Thorhildur Juliusdottir

138
Citations
Thirty years of artificial intelligence in medicine (AIME) conferences

Niels Peek;Carlo Combi;Roque Marin;Riccardo Bellazzi

132
Citations
Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview.

Arianna Dagliati;Alberto Malovini;Valentina Tibollo;Riccardo Bellazzi

123
Citations
Trustworthy reuse of health data: A transnational perspective

Antoine Geissbuhler;C Safran;I Buchan;R Bellazzi

118
Citations
Intelligent analysis of clinical time series: an application in the diabetes mellitus domain

R Bellazzi;C Larizza;P Magni;S Montani

115
Citations
International Electronic Health Record-Derived COVID-19 Clinical Course Profiles: The 4CE Consortium

Gabriel A Brat;Griffin M Weber;Nils Gehlenborg;Paul Avillach

18
Citations

Frequent Co-Authors

Mario Stefanelli University of Pavia

Stefania Montani University of Eastern Piedmont Amadeo Avogadro

Silvia G. Priori University of Pavia

James Adjaye University College London

Maurilio Sampaolesi KU Leuven

Isaac S. Kohane Harvard University

Giuseppe De Nicolao University of Pavia

Joel N. Hirschhorn Boston Children's Hospital

Silvio Bicciato University of Modena and Reggio Emilia

Orsetta Zuffardi University of Pavia

External Links

Personal website of Riccardo Bellazzi Google Scholar page

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