World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6430
World Ranking
9333
National Ranking
267

Giuseppe De Pietro 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 Giuseppe De Pietro 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: 290 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Giuseppe De Pietro 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 Giuseppe De Pietro 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Giuseppe De Pietro is affiliated with the National Research Council (CNR) in Italy, where they focus on research that intersects computer science and medicine. Their work primarily explores applications of artificial intelligence in healthcare, supported by a substantial body of publications across multiple subfields.

Their research spans the main fields of Computer Science, with 90 publications, and Medicine, comprising 52 publications. Subfields include Artificial Intelligence (65 publications), Radiology, Nuclear Medicine and Imaging (13), Computer Vision and Pattern Recognition (10), Rehabilitation (8), and Pulmonary and Respiratory Medicine (5).

Key topics in Giuseppe De Pietro's body of research include:

  • Topic Modeling
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Natural Language Processing Techniques
  • Stroke Rehabilitation and Recovery
  • Quantum Computing Algorithms and Architecture
  • Machine Learning in Healthcare

They have published recent papers covering a range of healthcare and AI applications, such as:

  • Ethical and regulatory challenges of AI technologies in healthcare: A narrative review, 2024, Heliyon
  • Reinforcement learning for intelligent healthcare applications: A survey, 2020, Artificial Intelligence in Medicine
  • Virtual reality and music therapy as distraction interventions to alleviate anxiety and improve mood states in breast cancer patients during chemotherapy, 2020, Journal of Cellular Physiology
  • BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images, 2022, Database
  • Blockchain Applications in Sustainable Smart Cities, 2023, Sustainable Cities and Society

Frequent coauthors of Giuseppe De Pietro include Massimo Esposito (34 joint publications), Hamido Fujita (13), Raffaele Guarasci (11), Nadia Brancati (10), and Ciro Mennella (9).

The researcher's work has been published repeatedly in several academic venues, highlighting consistent contributions to the fields of artificial intelligence and biomedical applications. Such venues include:

  • IEEE Access (9 publications)
  • Computers in Biology and Medicine (5)
  • Applied Sciences (4)
  • Sensors (3)
  • Quantum Machine Intelligence (3)

Best Publications

  • Virtual Reality as a Distraction Intervention to Relieve Pain and Distress During Medical Procedures: A Comprehensive Literature Review

    Paola Indovina;Paola Indovina;Daniela Barone;Luigi Gallo;Andrea Chirico;Andrea Chirico

  • A comprehensive investigation and comparison of Machine Learning Techniques in the domain of heart disease

    Seyedamin Pouriyeh;Sara Vahid;Giovanna Sannino;Giuseppe De Pietro

  • Reinforcement learning for intelligent healthcare applications: A survey.

    Antonio Coronato;Muddasar Naeem;Giuseppe De Pietro;Giovanni Paragliola

  • Voice Disorder Identification by Using Machine Learning Techniques

    Laura Verde;Giuseppe De Pietro;Giovanna Sannino

  • Deep neural network for hierarchical extreme multi-label text classification

    Francesco Gargiulo;Stefano Silvestri;Stefano Silvestri;Mario Ciampi;Giuseppe De Pietro

  • Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering

    Massimo Esposito;Emanuele Damiano;Aniello Minutolo;Giuseppe De Pietro

  • BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images

    Nadia Brancati;Anna Maria Anniciello;Pushpak Pati;Daniel Riccio

  • Hierarchical graph representations in digital pathology

    Pushpak Pati;Guillaume Jaume;Antonio Foncubierta-Rodríguez;Florinda Feroce

  • 3D interaction with volumetric medical data: experiencing the Wiimote

    Luigi Gallo;Giuseppe De Pietro;Ivana Marra

  • A Deep Learning Approach for Breast Invasive Ductal Carcinoma Detection and Lymphoma Multi-Classification in Histological Images

    Nadia Brancati;Giuseppe De Pietro;Maria Frucci;Daniel Riccio

  • A revised scheme for real time ECG Signal denoising based on recursive filtering

    Unknown

  • Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis

    Laura Verde;Giuseppe De Pietro;Ahmed Ghoneim;Mubarak Alrashoud

  • A new database of healthy and pathological voices

    Ugo Cesari;Giuseppe De Pietro;Elio Marciano;Ciro Niri

  • Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set.

    Rosario Catelli;Rosario Catelli;Francesco Gargiulo;Valentina Casola;Giuseppe De Pietro

  • Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems

    Unknown

  • Intelligent Interactive Multimedia Systems and Services

    Ernesto Damiani;Robert J. Howlett;Lakhmi C. Jain;Luigi Gallo

  • A smart mobile, self-configuring, context-aware architecture for personal health monitoring

    Massimo Esposito;Aniello Minutolo;Rosario Megna;Manolo Forastiere

  • Heuristic strategies for assessing wireless sensor network resiliency: an event-based formal approach

    Alessandro Testa;Marcello Cinque;Antonio Coronato;Giuseppe Pietro

  • Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification

    Rosario Catelli;Rosario Catelli;Valentina Casola;Giuseppe De Pietro;Hamido Fujita;Hamido Fujita;Hamido Fujita

  • A wavelet-based algorithm for multimodal medical image fusion

    Bruno Alfano;Mario Ciampi;Giuseppe De Pietro

  • MiPeG: A middleware infrastructure for pervasive grids

    Antonio Coronato;Giuseppe De Pietro

  • Formal specification of wireless and pervasive healthcare applications

    Antonio Coronato;Giuseppe De Pietro

  • Designing rule-based fuzzy systems for classification in medicine

    Marco Pota;Massimo Esposito;Giuseppe De Pietro

  • Transforming probability distributions into membership functions of fuzzy classes: A hypothesis test approach

    Marco Pota;Massimo Esposito;Giuseppe De Pietro

  • HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification

    Pushpak Pati;Guillaume Jaume;Lauren Alisha Fernandes;Antonio Foncubierta

  • Hierarchical Graph Representations in Digital Pathology

    Pushpak Pati;Guillaume Jaume;Antonio Foncubierta;Florinda Feroce

Frequent Co-Authors

Hamido Fujita
Hamido Fujita University of Technology Malaysia
Gerardo Botti
Gerardo Botti Istituto Giannina Gaslini
Antonio Giordano
Antonio Giordano Temple University
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Ernesto Damiani
Ernesto Damiani Khalifa University
Saverio Stranges
Saverio Stranges University of Western Ontario
Hamid R. Arabnia
Hamid R. Arabnia University of Georgia
Ahmed Ghoneim
Ahmed Ghoneim Cairo University
Fabio Lucidi
Fabio Lucidi Sapienza University of Rome
Han-Chieh Chao
Han-Chieh Chao Fo Guang University

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