World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5609
World Ranking
12086
National Ranking
4922

Ilias Leontiadis 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 Ilias Leontiadis 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: 83 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Ilias Leontiadis 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 Ilias Leontiadis 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Ilias Leontiadis is affiliated with Facebook in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence, computer networks and communications, and information systems. Their academic work spans several interdisciplinary subfields, including sociology and political science, as well as computer vision and pattern recognition.

Their research topics cover a range of areas such as spam and phishing detection, sentiment analysis and opinion mining, misinformation and its impacts, privacy-preserving technologies in data, age of information optimization, IoT and edge/fog computing, and child development and digital technology.

Leontiadis has published in numerous venues, with frequent contributions to arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), the Proceedings of the International AAAI Conference on Web and Social Media, ACM Transactions on Embedded Computing Systems, and GetMobile Mobile Computing and Communications.

Recent papers authored or co-authored by Leontiadis include:

  • "Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children" (2020), Proceedings of the International AAAI Conference on Web and Social Media
  • "FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout" (2021), arXiv (Cornell University)
  • "DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device" (2022), ACM Transactions on Embedded Computing Systems
  • "It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation" (2021), arXiv (Cornell University)

Leontiadis frequently collaborates with researchers such as Jeremy Blackburn, Nicolas Kourtellis, Gianluca Stringhini, Michael Sirivianos, and Stefanos Laskaridis, indicating a collaborative presence within their research community.

Best Publications

  • Large scale crowdsourcing and characterization of twitter abusive behavior

    Antigoni Maria Founta;Constantinos Djouvas;Despoina Chatzakou;Ilias Leontiadis

  • GeOpps: Geographical Opportunistic Routing for Vehicular Networks

    Ilias Leontiadis;Cecilia Mascolo

  • Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and its Effects on the Web

    Gabriel Emile Hine;Jeremiah Onaolapo;Emiliano De Cristofaro;Nicolas Kourtellis

  • The Cost of the "S" in HTTPS

    David Naylor;Alessandro Finamore;Ilias Leontiadis;Yan Grunenberger

  • SPINN: synergistic progressive inference of neural networks over device and cloud

    Stefanos Laskaridis;Stylianos I. Venieris;Mario Almeida;Ilias Leontiadis

  • A Unified Deep Learning Architecture for Abuse Detection

    Antigoni Maria Founta;Despoina Chatzakou;Nicolas Kourtellis;Jeremy Blackburn

  • On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks

    I. Leontiadis;G. Marfia;D. Mack;G. Pau

  • Don't kill my ads!: balancing privacy in an ad-supported mobile application market

    Ilias Leontiadis;Christos Efstratiou;Marco Picone;Cecilia Mascolo

  • The web centipede: understanding how web communities influence each other through the lens of mainstream and alternative news sources

    Savvas Zannettou;Tristan Caulfield;Emiliano De Cristofaro;Nicolas Kourtelris

  • Measuring Video QoE from Encrypted Traffic

    Giorgos Dimopoulos;Ilias Leontiadis;Pere Barlet-Ros;Konstantina Papagiannaki

  • Multi-Context TLS (mcTLS): Enabling Secure In-Network Functionality in TLS

    David Naylor;Kyle Schomp;Matteo Varvello;Ilias Leontiadis

  • DarkneTZ: towards model privacy at the edge using trusted execution environments

    Fan Mo;Ali Shahin Shamsabadi;Kleomenis Katevas;Soteris Demetriou

  • SenShare: transforming sensor networks into multi-application sensing infrastructures

    Ilias Leontiadis;Christos Efstratiou;Cecilia Mascolo;Jon Crowcroft

  • Opportunistic spatio-temporal dissemination system for vehicular networks

    Ilias Leontiadis;Cecilia Mascolo

  • Disturbed YouTube for kids: characterizing and detecting inappropriate videos targeting young children

    Kostantinos Papadamou;Antonis Papasavva;Savvas Zannettou;Jeremy Blackburn

  • Detecting Cyberbullying and Cyberaggression in Social Media

    Despoina Chatzakou;Ilias Leontiadis;Jeremy Blackburn;Emiliano De Cristofaro

  • Extending Access Point Connectivity through Opportunistic Routing in Vehicular Networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • SpotME If You Can: Randomized Responses for Location Obfuscation on Mobile Phones

    Daniele Quercia;Ilias Leontiadis;Liam McNamara;Cecilia Mascolo

  • Persistent content-based information dissemination in hybrid vehicular networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • "You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks

    E Mariconti;G Suarez-Tangil;J Blackburn;ED Cristofaro

  • A hybrid approach for content-based publish/subscribe in vehicular networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • Tracking serendipitous interactions: how individual cultures shape the office

    Chloë Brown;Christos Efstratiou;Ilias Leontiadis;Daniele Quercia

Frequent Co-Authors

Nicolas Kourtellis
Nicolas Kourtellis Telefónica (Spain)
Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Jeremy Blackburn
Jeremy Blackburn Binghamton University
Gianluca Stringhini
Gianluca Stringhini Boston University
Emiliano De Cristofaro
Emiliano De Cristofaro University of California, Riverside
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Konstantina Papagiannaki
Konstantina Papagiannaki Google (United States)
Joan Serrà
Joan Serrà Telefónica (Spain)
Dario Rossi
Dario Rossi Télécom ParisTech
Athena Vakali
Athena Vakali Aristotle University of Thessaloniki

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