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Riccardo Bellazzi

Riccardo Bellazzi

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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
12348
World Ranking
3463
National Ranking
64

Riccardo Bellazzi publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Riccardo Bellazzi sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 399 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Riccardo Bellazzi D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Riccardo Bellazzi sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

  • Position paper: The coming of age of artificial intelligence in medicine

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

  • Atlas of the clinical genetics of human dilated cardiomyopathy

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

  • Machine Learning Methods to Predict Diabetes Complications

    Arianna Dagliati;Simone Marini;Lucia Sacchi;Giulia Cogni

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

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

  • The MOGE(S) Classification of Cardiomyopathy for Clinicians

    Eloisa Arbustini;Navneet Narula;Luigi Tavazzi;Alessandra Serio

  • Cased-Based Reasoning for medical knowledge-based systems

    Rainer Schmidt;Stefania Montani;Riccardo Bellazzi;Luigi Portinale

  • Big Data and Biomedical Informatics: A Challenging Opportunity

    Riccardo Bellazzi

  • Data mining with Temporal Abstractions: learning rules from time series

    Lucia Sacchi;Cristiana Larizza;Carlo Combi;Riccardo Bellazzi

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

    R Bellazzi;C Larizza;S Montani;A Riva

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

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

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

    Riccardo Bellazzi;Stefania Montani;Alberto Riva;Mario Stefanelli

  • Temporal data mining for the quality assessment of hemodialysis services

    Riccardo Bellazzi;Cristiana Larizza;Paolo Magni;Roberto Bellazzi

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

    Riccardo Bellazzi;Fulvia Ferrazzi;Lucia Sacchi

  • Patient similarity for precision medicine: A systematic review

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

  • MTGO: PPI Network Analysis Via Topological and Functional Module Identification

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

  • 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

  • Thirty years of artificial intelligence in medicine (AIME) conferences

    Niels Peek;Carlo Combi;Roque Marin;Riccardo Bellazzi

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

    Arianna Dagliati;Alberto Malovini;Valentina Tibollo;Riccardo Bellazzi

  • Trustworthy reuse of health data: A transnational perspective

    Antoine Geissbuhler;C Safran;I Buchan;R Bellazzi

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

    R Bellazzi;C Larizza;P Magni;S Montani

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

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

Frequent Co-Authors

Mario Stefanelli
Mario Stefanelli University of Pavia
Stefania Montani
Stefania Montani University of Eastern Piedmont Amadeo Avogadro
Silvia G. Priori
Silvia G. Priori University of Pavia
Claudio Cobelli
Claudio Cobelli University of Padua
Carlo Napolitano
Carlo Napolitano University of Pavia
Eloisa Arbustini
Eloisa Arbustini Policlinico San Matteo Fondazione
James Adjaye
James Adjaye University College London
Jagat Narula
Jagat Narula Icahn School of Medicine at Mount Sinai
Isaac S. Kohane
Isaac S. Kohane Harvard University

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