World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
25523
World Ranking
3950
National Ranking
1877

Arvind Narayanan 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 Arvind Narayanan 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: 108 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Arvind Narayanan 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 Arvind Narayanan 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Arvind Narayanan is affiliated with Princeton University in the United States and focuses primarily on computer science, with substantial contributions across multiple subfields. Their research encompasses artificial intelligence, computer vision and pattern recognition, information systems, sociology and political science, and statistical and nonlinear physics.

The main topics of Narayanan's work include:

  • Explainable Artificial Intelligence (XAI)
  • Privacy, Security, and Data Protection
  • Artificial Intelligence in Healthcare and Education
  • Information and Cyber Security
  • Generative Adversarial Networks and Image Synthesis
  • Ethics and Social Impacts of AI
  • Internet Traffic Analysis and Secure E-voting

They have published extensively, with a strong presence on arXiv (Cornell University) as well as contributions in other venues such as Science, Patterns, Queue, and specialized outlets on robotics and AI safety.

Frequent coauthors include:

  • Sayash Kapoor
  • Rishi Bommasani
  • Percy Liang
  • Shayne Longpre
  • Peter Henderson

Among recent papers, significant examples include:

  • Leakage and the reproducibility crisis in machine-learning-based science, 2023, Patterns
  • Leakage and the Reproducibility Crisis in ML-based Science, 2022, arXiv (Cornell University)
  • Dark Patterns: Past, Present, and Future, 2020, Queue
  • REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets, 2022, International Journal of Computer Vision
  • How large language models can reshape collective intelligence, 2024, Nature Human Behaviour

Narayanan has also contributed to book publications through Princeton University Press, notably multiple editions titled AI Snake Oil released between 2024 and 2025.

Best Publications

  • Semantics derived automatically from language corpora contain human-like biases

    Aylin Caliskan;Joanna J. Bryson;Joanna J. Bryson;Arvind Narayanan

  • Robust De-anonymization of Large Sparse Datasets

    A. Narayanan;V. Shmatikov

  • Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction

    Arvind Narayanan;Joseph Bonneau;Edward Felten;Andrew Miller

  • De-anonymizing Social Networks

    Arvind Narayanan;Vitaly Shmatikov

  • SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies

    Joseph Bonneau;Joseph Bonneau;Joseph Bonneau;Andrew Miller;Jeremy Clark;Arvind Narayanan

  • Online Tracking: A 1-million-site Measurement and Analysis

    Steven Englehardt;Arvind Narayanan

  • The Web Never Forgets: Persistent Tracking Mechanisms in the Wild

    Gunes Acar;Christian Eubank;Steven Englehardt;Marc Juarez

  • Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites

    Arunesh Mathur;Gunes Acar;Michael J. Friedman;Elena Lucherini

  • Adnostic: Privacy Preserving Targeted Advertising.

    Vincent Toubiana;Arvind Narayanan;Dan Boneh;Helen Nissenbaum

  • Fast dictionary attacks on passwords using time-space tradeoff

    Arvind Narayanan;Vitaly Shmatikov

  • Mixcoin: Anonymity for Bitcoin with accountable mixes.

    Joseph Bonneau;Arvind Narayanan;Andrew Miller;Jeremy Clark

  • Routes for breaching and protecting genetic privacy.

    Yaniv Erlich;Arvind Narayanan

  • Myths and fallacies of "Personally Identifiable Information"

    Arvind Narayanan;Vitaly Shmatikov

  • On the Instability of Bitcoin Without the Block Reward

    Miles Carlsten;Harry Kalodner;S. Matthew Weinberg;Arvind Narayanan

  • Location Privacy via Private Proximity Testing.

    Arvind Narayanan;Narendran Thiagarajan;Mugdha Lakhani;Michael Hamburg

  • "You Might Also Like:" Privacy Risks of Collaborative Filtering

    Joseph A. Calandrino;Ann Kilzer;Arvind Narayanan;Edward W. Felten

  • On the Feasibility of Internet-Scale Author Identification

    A. Narayanan;H. Paskov;N. Z. Gong;J. Bethencourt

  • Bitcoin's academic pedigree

    Arvind Narayanan;Jeremy Clark

  • Ten simple rules for responsible big data research

    Matthew Zook;Solon Barocas;danah boyd;Kate Crawford;Kate Crawford

  • How To Break Anonymity of the Netflix Prize Dataset

    Arvind Narayanan;Vitaly Shmatikov

  • Privacy and Security Myths and Fallacies of Personally Identifiable Information

    Arvind Narayanan;Vitaly Shmatikov

Frequent Co-Authors

Edward W. Felten
Edward W. Felten Princeton University
Andrew Miller
Andrew Miller University of Illinois at Urbana-Champaign
Joseph Bonneau
Joseph Bonneau New York University
Vitaly Shmatikov
Vitaly Shmatikov Cornell University
C. Pandu Rangan
C. Pandu Rangan Indian Institute of Technology Madras
Nick Feamster
Nick Feamster University of Chicago
Helen Nissenbaum
Helen Nissenbaum Cornell University
Dan Boneh
Dan Boneh Stanford University
Peter Bailis
Peter Bailis Stanford University
Lincoln Stein
Lincoln Stein Ontario Institute for Cancer Research

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