World's Best Scientists 2026 revealed!
Aniello Castiglione

Aniello Castiglione

D-Index & Metrics

Computer Science

D-Index
45
Citations
7477
World Ranking
7260
National Ranking
186

Aniello Castiglione 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 Aniello Castiglione 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: 238 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Aniello Castiglione 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 Aniello Castiglione 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Aniello Castiglione is affiliated with the University of Salerno in Italy and specializes in computer science, with a focus on artificial intelligence, computer vision and pattern recognition, computer networks and communications, information systems, and signal processing. Their research extensively covers topics such as IoT and edge/fog computing, privacy-preserving technologies in data, cryptography and data security, face recognition and analysis, face and expression recognition, COVID-19 diagnosis using AI, and advanced neural network applications.

Their recent scientific publications include the following papers:

  • OBPP: An ontology-based framework for privacy-preserving in IoT-based smart city (2021) published in Future Generation Computer Systems
  • A Deep Learning-based Fast Fake News Detection Model for Cyber-Physical Social Services (2023) published in Pattern Recognition Letters
  • Impact of Deep Learning Approaches on Facial Expression Recognition in Healthcare Industries (2022) published in IEEE Transactions on Industrial Informatics
  • COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network (2021) published in IEEE Transactions on Industrial Informatics
  • The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic (2021) published in IEEE Internet of Things Journal

Frequent coauthors in Castiglione's projects include:

  • Michele Nappi
  • Chiara Pero
  • Fabio Narducci
  • Pandi Vijayakumar
  • Guojun Wang

Their work is commonly published in multiple venues, notably:

  • IEEE Transactions on Industrial Informatics
  • Pattern Recognition Letters
  • Future Generation Computer Systems
  • Computers & Industrial Engineering
  • Journal of Signal Processing Systems

The primary areas of study are computer science with a strong leaning towards subfields that integrate AI techniques, computer vision, and networking. The main topics addressed in Castiglione's research include methodologies and applications related to Internet of Things environments with edge and fog computing architectures, security and privacy aspects of data handling, and AI-powered recognition systems focusing on facial and expression detection.

Best Publications

  • Network anomaly detection with the restricted Boltzmann machine

    Ugo Fiore;Francesco Palmieri;Aniello Castiglione;Alfredo De Santis

  • Multi-layer cloud architectural model and ontology-based security service framework for IoT-based smart homes

    Ming Tao;Jinglong Zuo;Zhusong Liu;Aniello Castiglione

  • OBPP: An ontology-based framework for privacy-preserving in IoT-based smart city

    Mehdi Gheisari;Hamid Esmaeili Najafabadi;Jafar Ahmad Abed Alzubi;Jiechao Gao

  • Smart Cloud Storage Service Selection Based on Fuzzy Logic, Theory of Evidence and Game Theory

    Christian Esposito;Massimo Ficco;Francesco Palmieri;Aniello Castiglione

  • Challenges of Connecting Edge and Cloud Computing: A Security and Forensic Perspective

    Christian Esposito;Aniello Castiglione;Florin Pop;Kim-Kwang Raymond Choo

  • Impact of Deep Learning Approaches on Facial Expression Recognition in Healthcare Industries

    Unknown

  • Cloud-based adaptive compression and secure management services for 3D healthcare data

    Arcangelo Castiglione;Raffaele Pizzolante;Alfredo De Santis;Bruno Carpentieri

  • Cloud Manufacturing: Security, Privacy, and Forensic Concerns

    Christian Esposito;Aniello Castiglione;Ben Martini;Kim-Kwang Raymond Choo

  • A knowledge-based platform for Big Data analytics based on publish/subscribe services and stream processing

    Christian Esposito;Massimo Ficco;Francesco Palmieri;Aniello Castiglione

  • CNN-based anti-spoofing two-tier multi-factor authentication system

    Muhammad Sajjad;Salman Khan;Tanveer Hussain;Khan Muhammad

  • Challenges in Delivering Software in the Cloud as Microservices

    Christian Esposito;Aniello Castiglione;Kim-Kwang Raymond Choo

  • Taking advantages of a disadvantage: Digital forensics and steganography using document metadata

    A. Castiglione;A. De Santis;C. Soriente

  • Healthcare-Related Data in the Cloud: Challenges and Opportunities

    Valentina Casola;Aniello Castiglione;Kim-Kwang Raymond Choo;Christian Esposito

  • A distributed approach to network anomaly detection based on independent component analysis

    Francesco Palmieri;Ugo Fiore;Aniello Castiglione

  • Interconnecting Federated Clouds by Using Publish-Subscribe Service

    Christian Esposito;Massimo Ficco;Francesco Palmieri;Aniello Castiglione

  • COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network

    Aniello Castiglione;Pandi Vijayakumar;Michele Nappi;Saima Sadiq

  • A cloud-based architecture for emergency management and first responders localization in smart city environments

    Francesco Palmieri;Massimo Ficco;Silvio Pardi;Aniello Castiglione

  • Recognizing human behaviours in online social networks

    Flora Amato;Aniello Castiglione;Aniello De Santo;Vincenzo Moscato

  • A coral-reefs and Game Theory-based approach for optimizing elastic cloud resource allocation

    Massimo Ficco;Christiancarmine Esposito;Francesco Palmieri;Aniello Castiglione

  • A Novel Anti-forensics Technique for the Android OS

    Pietro Albano;Aniello Castiglione;Giuseppe Cattaneo;Alfredo De Santis

  • An Extensible Framework for Efficient Secure SMS

    Alfredo De Santis;Aniello Castiglione;Giuseppe Cattaneo;Maurizio Cembalo

Frequent Co-Authors

Francesco Palmieri
Francesco Palmieri University of Salerno
Alfredo De Santis
Alfredo De Santis University of Salerno
Massimo Ficco
Massimo Ficco University of Campania "Luigi Vanvitelli"
Kim-Kwang Raymond Choo
Kim-Kwang Raymond Choo The University of Texas at San Antonio
Michele Nappi
Michele Nappi University of Salerno
Ilsun You
Ilsun You Kookmin University
Vincenzo Moscato
Vincenzo Moscato University of Naples Federico II
Flora Amato
Flora Amato University of Naples Federico II
Ciprian Dobre
Ciprian Dobre Polytechnic University of Bucharest
Guojun Wang
Guojun Wang Guangzhou University

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