World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6593
World Ranking
12935
National Ranking
5224

John Chuang 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 John Chuang 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: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

John Chuang 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 John Chuang 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

John Chuang is a researcher affiliated with the University of California, Berkeley in the United States. Their work spans multiple fields of study, primarily focusing on Neuroscience and Psychology. Within these domains, their research frequently addresses subfields such as Cognitive Neuroscience, Social Psychology, Automotive Engineering, and Developmental and Educational Psychology.

Their main topics of investigation include Embodied and Extended Cognition, Social Representations and Identity, Neuroethics, Human Enhancement, Biomedical Innovations, Spatial Cognition and Navigation, Child and Animal Learning Development, and Action Observation and Synchronization. They have also contributed to research involving EEG and Brain-Computer Interfaces.

John Chuang has published in a variety of venues. Notably, these include:

  • arXiv (Cornell University)
  • Computer Supported Cooperative Work (CSCW)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Their recent papers reflect diverse interests and themes within interdisciplinary neuroscience and psychology research:

  • Neural Dynamics of a Single Human with Long-Term, High Temporal Density Electroencephalography, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • Social Distancing and Social Biosensing: Intersubjectivity from Afar, 2022, Computer Supported Cooperative Work (CSCW)
  • Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding, 2021, arXiv (Cornell University)
  • Gaze dynamics prior to navigation support hierarchical planning, 2025, bioRxiv (Cold Spring Harbor Laboratory)
  • Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Models, 2025, arXiv (Cornell University)

Collaboration is a significant aspect of their scholarly output. Frequent co-authors include Jeremy Gordon, Max T. Curran, Giovanni Pezzulo, Ming Chuang, and Gabriel Chuang. These partnerships often intersect with research topics involving cognition, psychology, and computational modeling.

Best Publications

  • Robust incentive techniques for peer-to-peer networks

    Michal Feldman;Kevin Lai;Ion Stoica;John Chuang

  • Free-riding and whitewashing in peer-to-peer systems

    M. Feldman;C. Papadimitriou;J. Chuang;I. Stoica

  • Overcoming free-riding behavior in peer-to-peer systems

    Michal Feldman;John Chuang

  • Secure or insure?: a game-theoretic analysis of information security games

    Jens Grossklags;Nicolas Christin;John Chuang

  • Pricing Multicast Communication: A Cost-Based Approach

    John C.-I. Chuang;Marvin A. Sirbu

  • Content availability, pollution and poisoning in file sharing peer-to-peer networks

    Nicolas Christin;Andreas S. Weigend;John Chuang

  • I Think, Therefore I Am: Usability and Security of Authentication Using Brainwaves

    John C.-I. Chuang;Hamilton Nguyen;Charles Wang;Benjamin Johnson

  • Free-riding and whitewashing in peer-to-peer systems

    Michal Feldman;Christos Papadimitriou;John Chuang;Ion Stoica

  • Incentive mechanism for peer-to-peer media streaming

    A. Habib;J. Chuang

  • Resilient Data-Centric Storage in Wireless Ad-Hoc Sensor Networks

    Abhishek Ghose;Jens Grossklags;John Chuang

  • Service differentiated peer selection: an incentive mechanism for peer-to-peer media streaming

    A. Habib;J. Chuang

  • Optimal bundling strategy for digital information goods: network delivery of articles and subscriptions

    John Chung-I Chuang;Marvin A. Sirbu

  • Distributed authentication in Kerberos using public key cryptography

    M.A. Sirbu;J.C.-I. Chuang

  • A case for taxation in peer-to-peer streaming broadcast

    Yang-hua Chu;John Chuang;Hui Zhang

  • Eliciting Values Reflections by Engaging Privacy Futures Using Design Workbooks

    Richmond Y. Wong;Deirdre K. Mulligan;Ellen Van Wyk;James Pierce

  • Quantifying Disincentives in Peer-to-Peer Networks

    Michal Feldman;Kevin Lai;John Chuang;Ion Stoica

  • Optimal pricing of content delivery network (CDN) services

    K. Hosanagar;R. Krishnan;M. Smith;J. Chuang

  • Hidden-action in multi-hop routing

    Michal Feldman;John Chuang;Ion Stoica;Scott Shenker

  • Pricing and Resource Allocation in Caching Services with Multiple Levels of Quality of Service

    Kartik Hosanagar;Ramayya Krishnan;John Chuang;Vidyanand Choudhary

  • Distributed network storage service with quality-of-service guarantees

    John Chung-I Chuang;Marvin A Sirbu

  • Given Enough Eyeballs, All Bugs Are Shallow? Revisiting Eric Raymond with Bug Bounty Programs

    Thomas Maillart;Mingyi Zhao;Jens Grossklags;John Chuang

Frequent Co-Authors

Jens Grossklags
Jens Grossklags Technical University of Munich
Nicolas Christin
Nicolas Christin Carnegie Mellon University
Michal Feldman
Michal Feldman Tel Aviv University
Ramayya Krishnan
Ramayya Krishnan Carnegie Mellon University
Ahsan Habib
Ahsan Habib Massey University
Ion Stoica
Ion Stoica University of California, Berkeley
Dongyan Xu
Dongyan Xu Purdue University West Lafayette
Bharat Bhargava
Bharat Bhargava Purdue University West Lafayette
Mikhail J. Atallah
Mikhail J. Atallah Purdue University West Lafayette
Joan Feigenbaum
Joan Feigenbaum Yale University

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