World's Best Scientists 2026 revealed!
Vinod Vaikuntanathan

Vinod Vaikuntanathan

D-Index & Metrics

Computer Science

D-Index
71
Citations
31475
World Ranking
1733
National Ranking
884

Vinod Vaikuntanathan 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 Vinod Vaikuntanathan 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Vinod Vaikuntanathan 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 Vinod Vaikuntanathan 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2013 - Fellow of Alfred P. Sloan Foundation

Overview

Vinod Vaikuntanathan is affiliated with MIT in the United States and has a research profile predominantly centered in computer science. Their work spans a variety of areas within this field, with a particular emphasis on cryptography and data security, where they have made substantial contributions.

The scientist's research covers multiple subfields of computer science, including:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Computer Networks and Communications

Vinod Vaikuntanathan's main topics of investigation consist of:

  • Cryptography and Data Security
  • Complexity and Algorithms in Graphs
  • Privacy-Preserving Technologies in Data
  • Quantum Computing Algorithms and Architecture
  • Cryptographic Implementations and Security
  • Chaos-based Image/Signal Encryption
  • Adversarial Robustness in Machine Learning

The breadth of their work is reflected in a variety of recent publications including:

  • "Optimized homomorphic encryption solution for secure genome-wide association studies" (2020), published in BMC Medical Genomics
  • "Rate-1 Non-Interactive Arguments for Batch-NP and Applications" (2022), presented at the 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)
  • "Planting Undetectable Backdoors in Machine Learning Models: [Extended Abstract]" (2022), also at the 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)
  • "Does Fully Homomorphic Encryption Need Compute Acceleration?" (2021), available on arXiv (Cornell University)
  • "Lattice-Inspired Broadcast Encryption and Succinct Ciphertext-Policy ABE" (2022), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Vinod Vaikuntanathan frequently publishes in several venues, most notably:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)
  • BMC Medical Genomics
  • Proceedings of the National Academy of Sciences

Their collaborative network includes frequent co-authors such as:

  • Neekon Vafa
  • Yael Tauman Kalai
  • Alex Lombardi
  • Daniel Wichs
  • Seyoon Ragavan

Recognition for Vinod Vaikuntanathan's work includes being named a fellow of the Alfred P. Sloan Foundation in 2013.

Best Publications

  • Trapdoors for hard lattices and new cryptographic constructions

    Craig Gentry;Chris Peikert;Vinod Vaikuntanathan

  • Fully homomorphic encryption over the integers

    Marten van Dijk;Craig Gentry;Shai Halevi;Vinod Vaikuntanathan

  • Leveled) fully homomorphic encryption without bootstrapping

    Zvika Brakerski;Craig Gentry;Vinod Vaikuntanathan

  • Efficient Fully Homomorphic Encryption from (Standard) LWE

    Zvika Brakerski;Vinod Vaikuntanathan

  • Leveled) Fully Homomorphic Encryption without Bootstrapping

    Zvika Brakerski;Craig Gentry;Vinod Vaikuntanathan

  • Fully homomorphic encryption from ring-LWE and security for key dependent messages

    Zvika Brakerski;Vinod Vaikuntanathan

  • Can homomorphic encryption be practical

    Michael Naehrig;Kristin Lauter;Vinod Vaikuntanathan

  • On-the-Fly Multiparty Computation on the Cloud via Multikey Fully Homomorphic Encryption.

    Adriana López-Alt;Eran Tromer;Vinod Vaikuntanathan

  • A Framework for Efficient and Composable Oblivious Transfer

    Chris Peikert;Vinod Vaikuntanathan;Brent Waters

  • Simultaneous Hardcore Bits and Cryptography against Memory Attacks

    Adi Akavia;Shafi Goldwasser;Vinod Vaikuntanathan

  • Reusable garbled circuits and succinct functional encryption

    Shafi Goldwasser;Yael Kalai;Raluca Ada Popa;Vinod Vaikuntanathan

  • Multiparty computation with low communication, computation and interaction via threshold FHE

    Gilad Asharov;Abhishek Jain;Adriana López-Alt;Eran Tromer

  • Fully Key-Homomorphic Encryption, Arithmetic Circuit ABE and Compact Garbled Circuits

    Dan Boneh;Craig Gentry;Sergey Gorbunov;Shai Halevi

  • Efficient Fully Homomorphic Encryption from (Standard) $\mathsf{LWE}$

    Zvika Brakerski;Vinod Vaikuntanathan

  • Fully Homomorphic Encryption without Bootstrapping.

    Zvika Brakerski;Craig Gentry;Vinod Vaikuntanathan

  • Attribute-based encryption for circuits

    Sergey Gorbunov;Vinod Vaikuntanathan;Hoeteck Wee

  • How to delegate and verify in public: verifiable computation from attribute-based encryption

    Bryan Parno;Mariana Raykova;Vinod Vaikuntanathan

  • {GAZELLE}: A Low Latency Framework for Secure Neural Network Inference

    Chiraag Juvekar;Vinod Vaikuntanathan;Anantha P. Chandrakasan

  • Lattice-based FHE as secure as PKE

    Zvika Brakerski;Vinod Vaikuntanathan

  • Functional Encryption with Bounded Collusions via Multi-party Computation

    Sergey Gorbunov;Vinod Vaikuntanathan;Hoeteck Wee

  • Can homomorphic encryption be practical

    Kristin E. Lauter;Michael Naehrig;Vinod Vaikuntanathan

Frequent Co-Authors

Zvika Brakerski
Zvika Brakerski Weizmann Institute of Science
Hoeteck Wee
Hoeteck Wee École Normale Supérieure
Craig Gentry
Craig Gentry TripleBlind
Daniel Wichs
Daniel Wichs Northeastern University
Shafi Goldwasser
Shafi Goldwasser University of California, Berkeley
Shai Halevi
Shai Halevi Amazon (United States)
Jonathan Katz
Jonathan Katz University of Maryland, College Park
Ran Canetti
Ran Canetti Boston University
Eran Tromer
Eran Tromer Tel Aviv University

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