World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
16255
World Ranking
5762
National Ranking
2621

Kristin E. Lauter 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 Kristin E. Lauter 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: 212 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Kristin E. Lauter 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 Kristin E. Lauter 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: 49 D-Index — 60th percentile

60% 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

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2020 - SIAM Fellow For the development of practical cryptography and for leadership in the mathematical community.
  • 2015 - Fellow of the American Mathematical Society For contributions to arithmetic geometry and cryptography as well as service to the community.

Overview

Kristin E. Lauter is affiliated with Meta in the United States and works primarily within the field of Computer Science. Their research emphasizes several subfields, including Artificial Intelligence, Information Systems, Geometry and Topology, Computational Theory and Mathematics, and Genetics.

The main topics of their work encompass Cryptography and Data Security, Cryptography and Residue Arithmetic, Coding Theory and Cryptography, Privacy-Preserving Technologies in Data, Algebraic Geometry and Number Theory, Internet Traffic Analysis and Secure E-voting, and Complexity and Algorithms in Graphs.

Frequent coauthors in their research include:

  • Emily Wenger
  • François Charton
  • Yue Li
  • Mingjie Chen
  • Miran Kim

Kristin E. Lauter has published repeatedly in venues such as arXiv (Cornell University), Journal of Mathematical Cryptology, bioRxiv (Cold Spring Harbor Laboratory), La Matematica, and Notices of the American Mathematical Society.

Selected recent papers authored or coauthored by Kristin E. Lauter include:

  • Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation, 2021, Cell Systems
  • Secure human action recognition by encrypted neural network inference, 2022, Nature Communications
  • Computing Blindfolded on Data Homomorphically Encrypted under Multiple Keys: A Survey, 2021, ACM Computing Surveys
  • Ultra-Fast Homomorphic Encryption Models enable Secure Outsourcing of Genotype Imputation, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Shorter quantum circuits via single-qubit gate approximation, 2023, Quantum

Recognition for Kristin E. Lauter's work includes being named a SIAM Fellow in 2020 for the development of practical cryptography and leadership in the mathematical community. They were also made a Fellow of the American Association for the Advancement of Science (AAAS) in 2020 and have been a Fellow of the American Mathematical Society since 2015 for contributions to arithmetic geometry and cryptography as well as service to the community.

Best Publications

  • Cryptographic cloud storage

    Seny Kamara;Kristin Lauter

  • CryptoNets: applying neural networks to encrypted data with high throughput and accuracy

    Nathan Dowlin;Ran Gilad-Bachrach;Kim Laine;Kristin Lauter

  • Can homomorphic encryption be practical

    Michael Naehrig;Kristin Lauter;Vinod Vaikuntanathan

  • Stronger security of authenticated key exchange

    Brian LaMacchia;Kristin Lauter;Anton Mityagin

  • Patient controlled encryption: ensuring privacy of electronic medical records

    Josh Benaloh;Melissa Chase;Eric Horvitz;Kristin Lauter

  • The advantages of elliptic curve cryptography for wireless security

    K. Lauter

  • ML confidential: machine learning on encrypted data

    Thore Graepel;Kristin Lauter;Michael Naehrig

  • Improved Security for a Ring-Based Fully Homomorphic Encryption Scheme

    Joppe W. Bos;Kristin Lauter;Jake Loftus;Michael Naehrig

  • Cryptographic Hash Functions from Expander Graphs

    Denis X. Charles;Kristin E. Lauter;Eyal Z. Goren

  • Signatures for network coding

    Denis Charles;Kamal Jain;Kristin Lauter

  • Private Predictive Analysis on Encrypted Medical Data.

    Joppe W. Bos;Kristin E. Lauter;Michael Naehrig

  • Secure Outsourced Matrix Computation and Application to Neural Networks

    Xiaoqian Jiang;Miran Kim;Kristin Lauter;Yongsoo Song

  • Trading Inversions for Multiplications in Elliptic Curve Cryptography

    Mathieu Ciet;Marc Joye;Kristin Lauter;Peter L. Montgomery

  • Fast elliptic curve arithmetic and improved weil pairing evaluation

    Kirsten Eisenträger;Kristin Lauter;Peter L. Montgomery

  • CHET: an optimizing compiler for fully-homomorphic neural-network inferencing

    Roshan Dathathri;Olli Saarikivi;Hao Chen;Kim Laine

  • Private Computation on Encrypted Genomic Data.

    Kristin E. Lauter;Adriana López-Alt;Michael Naehrig

  • Privately Evaluating Decision Trees and Random Forests

    David J. Wu;Tony Feng;Michael Naehrig;Kristin E. Lauter

  • XONN: XNOR-based oblivious deep neural network inference

    M. Sadegh Riazi;Mohammad Samragh;Hao Chen;Kim Laine

  • Manual for Using Homomorphic Encryption for Bioinformatics

    Nathan Dowlin;Ran Gilad-Bachrach;Kim Laine;Kristin Lauter

  • Homomorphic Computation of Edit Distance.

    Jung Hee Cheon;Miran Kim;Kristin E. Lauter

  • Quantum Resource Estimates for Computing Elliptic Curve Discrete Logarithms.

    Martin Roetteler;Michael Naehrig;Krysta M. Svore;Kristin E. Lauter

  • Can homomorphic encryption be practical

    Kristin E. Lauter;Michael Naehrig;Vinod Vaikuntanathan

  • Cryptographic hash functions from expander graphs.

    Denis Xavier Charles;Eyal Z. Goren;Kristin E. Lauter

Frequent Co-Authors

Hao Chen
Hao Chen University of California, Davis
Kamal Jain
Kamal Jain Microsoft (United States)
Xiaoqian Jiang
Xiaoqian Jiang The University of Texas Health Science Center at Houston
Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego
Ramarathnam Venkatesan
Ramarathnam Venkatesan Microsoft (United States)
Jung Hee Cheon
Jung Hee Cheon Seoul National University
Jean-Jacques Quisquater
Jean-Jacques Quisquater Université Catholique de Louvain
Lucila Ohno-Machado
Lucila Ohno-Machado University of California, San Diego
Tanja Lange
Tanja Lange Eindhoven University of Technology

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