World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
12176
World Ranking
6715
National Ranking
159

Carlo Sansone 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 Carlo Sansone 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: 248 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Carlo Sansone 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 Carlo Sansone 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Carlo Sansone is affiliated with the University of Naples Federico II in Italy. Their research primarily spans the fields of Computer Science, Medicine, and Engineering, with a significant focus on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, and Computer Vision and Pattern Recognition. Further subfields include Safety, Risk, Reliability and Quality, along with Pulmonary and Respiratory Medicine.

Their research topics include:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Fire Detection and Safety Systems
  • Adversarial Robustness in Machine Learning
  • Video Surveillance and Tracking Methods
  • MRI in cancer diagnosis
  • Topic Modeling

Sansone has contributed to several research papers, notably including:

  • Legal Information Retrieval systems: State-of-the-art and open issues (2021), published in Information Systems
  • Transformers in the Real World: A Survey on NLP Applications (2023), published in Information
  • Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach (2022), published in European Radiology
  • A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance (2022), published in IEEE Access
  • DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI (2021), published in Pattern Recognition Letters

Frequent coauthors working alongside Sansone include Stefano Marrone, Michela Gravina, Diego Gragnaniello, Antonio Greco, and Bruno Vento.

The venues where Sansone has most frequently published include Information, Pattern Recognition Letters, Journal of Imaging, Engineering Applications of Artificial Intelligence, and Cancers.

Sansone has contributed to book publications from notable academic publishers:

  • Springer Science+Business Media: Image Analysis and Processing - ICIAP 2022 (2022), Deep Learning Theory and Applications (2023)
  • Centre National de la Recherche Scientifique: 4th International Conference on Deep Learning Theory and Applications (2023)

Best Publications

  • THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION

    Donatello Conte;Pasquale Foggia;Carlo Sansone;Mario Vento

  • A (sub)graph isomorphism algorithm for matching large graphs

    L.P. Cordella;P. Foggia;C. Sansone;M. Vento

  • An Improved Algorithm for Matching Large Graphs

    L. P. Cordella;P. Foggia;C. Sansone;M. Vento

  • Land Use Classification in Remote Sensing Images by Convolutional Neural Networks

    Marco Castelluccio;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Performance evaluation of the VF graph matching algorithm

    L.P. Cordella;P. Foggia;C. Sansone;M. Vento

  • To reject or not to reject: that is the question-an answer in case of neural classifiers

    C. De Stefano;C. Sansone;M. Vento

  • A Performance Comparison of Five Algorithms for Graph Isomorphism

    P. Foggia;C.Sansone;M. Vento

  • A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection

    Giovanni Chierchia;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • An Investigation of Local Descriptors for Biometric Spoofing Detection

    Diego Gragnaniello;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Transformers in the Real World: A Survey on NLP Applications

    Unknown

  • LivDet iris 2017 — Iris liveness detection competition 2017

    David Yambay;Benedict Becker;Naman Kohli;Daksha Yadav

  • A Database of Graphs for Isomorphism and Sub-Graph Isomorphism Benchmarking

    Pasquale Foggia;C Sansone;Mario Vento

  • A Comparison of Algorithms for Maximum Common Subgraph on Randomly Connected Graphs

    Horst Bunke;Pasquale Foggia;C. Guidobaldi;Carlo Sansone

  • Fingerprint liveness detection based on Weber Local image Descriptor

    Diego Gragnaniello;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Local contrast phase descriptor for fingerprint liveness detection

    Diego Gragnaniello;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Early classification of network traffic through multi-classification

    Alberto Dainotti;Antonio Pescapé;Carlo Sansone

  • ECG databases for biometric systems

    Mario Merone;Paolo Soda;Mario Sansone;Carlo Sansone

  • Combining perspiration- and morphology-based static features for fingerprint liveness detection

    Emanuela Marasco;Carlo Sansone

  • A large database of graphs and its use for benchmarking graph isomorphism algorithms

    M. De Santo;P. Foggia;C. Sansone;M. Vento

  • Reliability Parameters to Improve Combination Strategies in Multi-Expert Systems

    L. P. Cordella;Pasquale Foggia;C. Sansone;F. Tortorella

  • A neural network approach to instrument fault detection and isolation

    A. Bernieri;G. Betta;A. Pietrosanto;C. Sansone

Frequent Co-Authors

Mario Vento
Mario Vento University of Salerno
Pasquale Foggia
Pasquale Foggia University of Salerno
Luisa Verdoliva
Luisa Verdoliva University of Naples Federico II
Giovanni Poggi
Giovanni Poggi University of Naples Federico II
Antonio Picariello
Antonio Picariello University of Naples Federico II
Vincenzo Moscato
Vincenzo Moscato University of Naples Federico II
Flora Amato
Flora Amato University of Naples Federico II
Davide Cozzolino
Davide Cozzolino University of Naples Federico II
Fabio Roli
Fabio Roli University of Genoa
Antonio Pescape
Antonio Pescape University of Naples Federico II

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a variety of online degrees and career pathways. An online computer science degree can be a flexible and practical option, accommodating busy schedules while providing vital tech skills sought by top employers.

For students concerned about past academic performance, many online colleges that accept low gpa make the field more accessible. These institutions offer a path forward, letting motivated learners pursue their tech ambitions without traditional barriers.

If you’re interested in interdisciplinary opportunities, combining computer science with environmental fields is growing in popularity. In particular, there are increasing options for earning an environmental engineering bachelor's degree online, integrating technology with sustainability.

Graduates can pursue diverse roles—from software development to eco-focused careers. Those wondering about jobs with elementary education and environmental science degree will find new opportunities where tech and environmental stewardship meet. For the fastest path, review the best online computer science degree programs that help you graduate quickly and step into the workforce.

Best Scientists Citing Carlo Sansone

Trending Scientists

Recently Published Articles