World's Best Scientists 2026 revealed!
Antonella Santone

Antonella Santone

D-Index & Metrics

Computer Science

D-Index
37
Citations
5322
World Ranking
10835
National Ranking
342

Antonella Santone 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 Antonella Santone 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: 325 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Antonella Santone 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 Antonella Santone 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Antonella Santone is affiliated with the University of Molise in Italy and has contributed extensively to research in computer science and medicine. Their work encompasses a broad range of topics, primarily focusing on applications of artificial intelligence and machine learning in medical imaging as well as cybersecurity.

Their research covers key fields of study including:

  • Computer Science
  • Medicine

More specialized subfields where they have published include:

  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Antonella Santone's main research topics comprise:

  • Advanced Malware Detection Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • Network Security and Intrusion Detection
  • AI in cancer detection
  • Software Testing and Debugging Techniques
  • COVID-19 diagnosis using AI
  • Advanced Neural Network Applications

Recent papers authored or co-authored by Antonella Santone include:

  • "Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays" (2020), published in Computer Methods and Programs in Biomedicine
  • "Deep learning for image-based mobile malware detection" (2020), published in Journal of Computer Virology and Hacking Techniques
  • "Towards an interpretable deep learning model for mobile malware detection and family identification" (2021), published in Computers & Security
  • "A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images" (2022), published in IEEE Transactions on Medical Imaging
  • "Machine learning for coronavirus covid-19 detection from chest x-rays" (2020), published in Procedia Computer Science

Their publications appear frequently in these venues:

  • Procedia Computer Science
  • Applied Sciences
  • Journal of Computer Virology and Hacking Techniques
  • Electronics
  • Diagnostics

Collaborations have been a notable part of their research, with frequent co-authors including:

  • Francesco Mercaldo
  • Fabio Martinelli
  • Luca Brunese
  • Mario Cesarelli
  • Giacomo Iadarola

Best Publications

  • Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.

    Luca Brunese;Francesco Mercaldo;Alfonso Reginelli;Antonella Santone

  • Diabetes Mellitus Affected Patients Classification and Diagnosis through Machine Learning Techniques

    Francesco Mercaldo;Vittoria Nardone;Antonella Santone

  • Ransomware Steals Your Phone. Formal Methods Rescue It

    Francesco Mercaldo;Vittoria Nardone;Antonella Santone;Corrado Aaron Visaggio

  • An ensemble learning approach for brain cancer detection exploiting radiomic features.

    Luca Brunese;Francesco Mercaldo;Francesco Mercaldo;Alfonso Reginelli;Antonella Santone

  • Human behavior characterization for driving style recognition in vehicle system

    Fabio Martinelli;Francesco Mercaldo;Albina Orlando;Vittoria Nardone

  • A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images

    Unknown

  • Car hacking identification through fuzzy logic algorithms

    Fabio Martinelli;Francesco Mercaldo;Vittoria Nardone;Antonella Santone

  • Deep learning for image-based mobile malware detection

    Francesco Mercaldo;Antonella Santone

  • Towards an interpretable deep learning model for mobile malware detection and family identification

    Giacomo Iadarola;Fabio Martinelli;Francesco Mercaldo;Francesco Mercaldo;Antonella Santone

  • Selective Mu-Calculus and Formula-Based Equivalence of Transition Systems

    Roberto Barbuti;Nicoletta De Francesco;Antonella Santone;Gigliola Vaglini

  • Talos: no more ransomware victims with formal methods

    Aniello Cimitile;Francesco Mercaldo;Vittoria Nardone;Antonella Santone

  • Machine learning for coronavirus covid-19 detection from chest x-rays

    Luca Brunese;Fabio Martinelli;Francesco Mercaldo;Francesco Mercaldo;Antonella Santone

  • Ransomware Inside Out

    Francesco Mercaldo;Vittoria Nardone;Antonella Santone

  • CAN-Bus Attack Detection With Deep Learning

    Flora Amato;Luigi Coppolino;Francesco Mercaldo;Francesco Moscato

  • A Neural Network-Based Method for Respiratory Sound Analysis and Lung Disease Detection

    Unknown

  • A “pay-how-you-drive” car insurance approach through cluster analysis

    Maria Francesca Carfora;Fabio Martinelli;Francesco Mercaldo;Vittoria Nardone

  • Deep learning for heart disease detection through cardiac sounds

    Luca Brunese;Fabio Martinelli;Francesco Mercaldo;Francesco Mercaldo;Antonella Santone

  • Radiomic features for prostate cancer grade detection through formal verification.

    Antonella Santone;Maria Chiara Brunese;Federico Donnarumma;Pasquale Guerriero

  • Visualizing the outcome of dynamic analysis of Android malware with VizMal

    Andrea De Lorenzo;Fabio Martinelli;Eric Medvet;Francesco Mercaldo

  • De novo reconstruction of gene regulatory networks from time series data, an approach based on formal methods

    Michele Ceccarelli;Luigi Cerulo;Antonella Santone

  • LEILA: Formal Tool for Identifying Mobile Malicious Behaviour

    Gerardo Canfora;Fabio Martinelli;Francesco Mercaldo;Vittoria Nardone

  • Formal methods for prostate cancer Gleason score and treatment prediction using radiomic biomarkers

    Luca Brunese;Francesco Mercaldo;Francesco Mercaldo;Alfonso Reginelli;Antonella Santone

Frequent Co-Authors

Francesco Mercaldo
Francesco Mercaldo University of Molise
Fabio Martinelli
Fabio Martinelli National Research Council (CNR)
Corrado Aaron Visaggio
Corrado Aaron Visaggio University of Sannio
Giuseppe Peter Vanoli
Giuseppe Peter Vanoli University of Molise
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Giuseppe Anastasi
Giuseppe Anastasi University of Pisa
Gerardo Canfora
Gerardo Canfora University of Sannio
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Alessandro Fantechi
Alessandro Fantechi University of Florence
Stefania Gnesi
Stefania Gnesi Institute of Information Science and Technologies

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