World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
7475
World Ranking
10580
National Ranking
4433

Stratis Ioannidis 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 Stratis Ioannidis 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: 230 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Stratis Ioannidis 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 Stratis Ioannidis 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

Stratis Ioannidis is affiliated with Northeastern University in the United States. Their research primarily spans the field of Computer Science, with a strong focus on Artificial Intelligence, Computer Networks and Communications, and Electrical and Electronic Engineering. Additional subfields of study include Computer Vision and Pattern Recognition, as well as Radiology, Nuclear Medicine and Imaging.

Their work covers diverse and specialized topics, including Retinopathy of Prematurity Studies, Optimization and Search Problems, Wireless Signal Modulation Classification, Domain Adaptation and Few-Shot Learning, Caching and Content Delivery, Adversarial Robustness in Machine Learning, and Complexity and Algorithms in Graphs.

Ioannidis has contributed to numerous recent publications, some of which include:

  • Deep Learning for RF Fingerprinting: A Massive Experimental Study (2020) published in IEEE Internet of Things Magazine
  • Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging (2020) published in npj Digital Medicine
  • More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting (2020) published in IEEE Communications Magazine
  • RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms (2020) published in IEEE Transactions on Vehicular Technology
  • Multi-Modality Sensing and Data Fusion for Multi-Vehicle Detection (2022) published in IEEE Transactions on Multimedia

Frequent co-authors of Ioannidis include:

  • Jennifer Dy
  • Michael F. Chiang
  • Susan Ostmo
  • J. Peter Campbell
  • Kaushik Chowdhury

Their research has been published across several venues, with multiple contributions to:

  • arXiv (Cornell University)
  • Ophthalmology Retina
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Vehicular Technology
  • ACM SIGMETRICS Performance Evaluation Review

Best Publications

  • Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

    James M. Brown;J. Peter Campbell;Andrew Beers;Ken Chang

  • Privacy-Preserving Ridge Regression on Hundreds of Millions of Records

    V. Nikolaenko;U. Weinsberg;S. Ioannidis;M. Joye

  • Optimal and scalable distribution of content updates over a mobile social network

    S. Ioannidis;A. Chaintreau;L. Massoulie

  • Deep Learning Convolutional Neural Networks for Radio Identification

    Shamnaz Riyaz;Kunal Sankhe;Stratis Ioannidis;Kaushik Chowdhury

  • Privacy-preserving matrix factorization

    Valeria Nikolaenko;Stratis Ioannidis;Udi Weinsberg;Marc Joye

  • ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks

    Kunal Sankhe;Mauro Belgiovine;Fan Zhou;Shamnaz Riyaz

  • Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting

    Amani Al-Shawabka;Francesco Restuccia;Salvatore D'Oro;Tong Jian

  • Deep Learning for RF Fingerprinting: A Massive Experimental Study

    Tong Jian;Bruno Costa Rendon;Emmanuel Ojuba;Nasim Soltani

  • No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments

    Kunal Sankhe;Mauro Belgiovine;Fan Zhou;Luca Angioloni

  • BlurMe: inferring and obfuscating user gender based on ratings

    Udi Weinsberg;Smriti Bhagat;Stratis Ioannidis;Nina Taft

  • Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity.

    Travis K Redd;John Peter Campbell;James M Brown;Sang Jin Kim

  • GraphSC: Parallel Secure Computation Made Easy

    Kartik Nayak;Xiao Shaun Wang;Stratis Ioannidis;Udi Weinsberg

  • Adaptive Caching Networks With Optimality Guarantees

    Stratis Ioannidis;Edmund Yeh

  • More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting

    Nasim Soltani;Kunal Sankhe;Jennifer Dy;Stratis Ioannidis

  • DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms

    Francesco Restuccia;Salvatore D'Oro;Amani Al-Shawabka;Mauro Belgiovine

  • Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging.

    Matthew D. Li;Ken Chang;Ben Bearce;Connie Y. Chang

  • Distributed caching over heterogeneous mobile networks

    Stratis Ioannidis;Laurent Massoulié;Augustin Chaintreau

  • Distributed caching over heterogeneous mobile networks

    Stratis Ioannidis;Laurent Massoulie;Augustin Chaintreau

  • Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning.

    Stanford Taylor;James M Brown;Kishan Gupta;J Peter Campbell

  • RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms

    Nasim Soltani;Guillem Reus-Muns;Batool Salehi;Jennifer Dy

  • Incentivizing peer-assisted services: a fluid shapley value approach

    Vishal Misra;Stratis Ioannidis;Augustin Chaintreau;Laurent Massoulié

  • Dissemination in opportunistic mobile ad-hoc networks: The power of the crowd

    Gjergji Zyba;Geoffrey M. Voelker;Stratis Ioannidis;Christophe Diot

  • Jointly Optimal Routing and Caching for Arbitrary Network Topologies

    Stratis Ioannidis;Edmund Yeh

Frequent Co-Authors

Jennifer G. Dy
Jennifer G. Dy Northeastern University
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University
Deniz Erdogmus
Deniz Erdogmus Northeastern University
Kaushik R. Chowdhury
Kaushik R. Chowdhury Northeastern University
Laurent Massoulié
Laurent Massoulié French Institute for Research in Computer Science and Automation - INRIA
Nina Taft
Nina Taft Google (United States)
Andrea Montanari
Andrea Montanari Stanford University
Augustin Chaintreau
Augustin Chaintreau Columbia University
Tommaso Melodia
Tommaso Melodia Northeastern University
Matthew S. Goodwin
Matthew S. Goodwin Northeastern University

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