World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
10573
World Ranking
4362
National Ranking
2039

Krysta M. Svore 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 Krysta M. Svore 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: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Krysta M. Svore 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 Krysta M. Svore 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: 55 D-Index — 71st percentile

71% 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

  • 2014 - ACM Senior Member

Overview

Krysta M. Svore is affiliated with Microsoft in the United States, focusing primarily on research within computer science. Their work is concentrated in several interconnected subfields including artificial intelligence, computational theory and mathematics, atomic and molecular physics and optics, hardware and architecture, and materials chemistry.

The core themes of their research involve quantum computing algorithms and architecture, quantum information and cryptography, quantum-dot cellular automata, quantum mechanics and applications, parallel computing and optimization techniques, graphene research and applications, and error correcting code techniques.

Recent notable publications by Krysta M. Svore include the following:

  • "Circuit-centric quantum classifiers", 2020, Physical review. A/Physical review, A
  • "Quantum programming languages", 2020, Nature Reviews Physics
  • "Cost of Universality: A Comparative Study of the Overhead of State Distillation and Code Switching with Color Codes", 2021, PRX Quantum
  • "Assessing requirements to scale to practical quantum advantage", 2022, arXiv (Cornell University)
  • "Demonstration of logical qubits and repeated error correction with better-than-physical error rates", 2024, arXiv (Cornell University)

Frequent co-authors involved in Svore's research endeavors include:

  • Marcus P. da Silva
  • Adam Paetznick
  • Nicolas Delfosse
  • Maximilian Zanner
  • Andres Paz

The main venues for their published work are:

  • arXiv (Cornell University)
  • Physical review. A/Physical review, A
  • Nature Reviews Physics
  • PRX Quantum
  • IEEE Transactions on Information Theory

Within their field of computer science, Krysta M. Svore has contributed to a total of 35 publications, with 25 in artificial intelligence, 5 in computational theory and mathematics, 4 in atomic and molecular physics and optics, 2 in hardware and architecture, and 1 in materials chemistry. Their research topics are predominantly centered on quantum-related areas, including 26 publications on quantum computing algorithms and architecture and 20 on quantum information and cryptography.

Krysta M. Svore was recognized as an ACM Senior Member in 2014.

Best Publications

  • Circuit-centric quantum classifiers

    Maria Schuld;Alex Bocharov;Krysta M. Svore;Nathan Wiebe;Nathan Wiebe;Nathan Wiebe

  • Elucidating reaction mechanisms on quantum computers

    Markus Reiher;Nathan Wiebe;Krysta M. Svore;Dave Wecker

  • Adapting boosting for information retrieval measures

    Qiang Wu;Christopher J. Burges;Krysta M. Svore;Jianfeng Gao

  • Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources

    Krysta Svore;Lucy Vanderwende;Christopher Burges

  • Q#: Enabling Scalable Quantum Computing and Development with a High-level DSL

    Krysta Svore;Alan Geller;Matthias Troyer;John Azariah

  • A logarithmic-depth quantum carry-lookahead adder

    Thomas G. Draper;Samuel A. Kutin;Eric M. Rains;Krysta M. Svore

  • One Class Support Vector Machines for Detecting Anomalous Windows Registry Accesses

    Katherine Heller;Krysta Svore;Angelos D. Keromytis;Salvatore Stolfo

  • Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning

    Nathan Wiebe;Ashish Kapoor;Krysta M. Svore

  • LIQUi|>: A Software Design Architecture and Domain-Specific Language for Quantum Computing.

    Dave Wecker;Krysta M. Svore

  • Q#: Enabling scalable quantum computing and development with a high-level domain-specific language

    Krysta M. Svore;Alan Geller;Matthias Troyer;John Azariah

  • A layered software architecture for quantum computing design tools

    K.M. Svore;A.V. Aho;A.W. Cross;I. Chuang

  • A software methodology for compiling quantum programs

    Thomas Häner;Damian S. Steiger;Krysta M. Svore;Matthias Troyer;Matthias Troyer

  • Quantum Speed-Ups for Solving Semidefinite Programs

    Fernando G.S.L. Brandao;Krysta M. Svore

  • Quantum deep learning

    Nathan Wiebe;Ashish Kapoor;Krysta M. Svore

  • Understanding temporal query dynamics

    Anagha Kulkarni;Jaime Teevan;Krysta M. Svore;Susan T. Dumais

  • Learning to Rank Using an Ensemble of Lambda-Gradient Models

    Christopher J. C. Burges;Krysta Marie Svore;Paul N. Bennett;Andrzej Pastusiak

  • Efficient synthesis of universal repeat-until-success quantum circuits.

    Alex Bocharov;Martin Roetteler;Krysta M. Svore

  • Quantum Resource Estimates for Computing Elliptic Curve Discrete Logarithms.

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

  • Modeling and predicting behavioral dynamics on the web

    Kira Radinsky;Krysta Svore;Susan Dumais;Jaime Teevan

  • Faster phase estimation

    Krysta M. Svore;Matthew B. Hastings;Michael Freedman

  • Ranking, Boosting, and Model Adaptation

    Chris J. C. Burges;Krysta M. Svore;Qiang Wu;Jianfeng Gao

  • Quantum SDP Solvers: Large Speed-Ups, Optimality, and Applications to Quantum Learning

    Fernando G. S. L. Brandão;Amir Kalev;Tongyang Li;Cedric Yen-Yu Lin

  • Elucidating Reaction Mechanisms on Quantum Computers

    Nathan Wiebe;Markus Reiher;Krysta Svore;Dave Wecker

Frequent Co-Authors

Nathan Wiebe
Nathan Wiebe University of Toronto
Matthias Troyer
Matthias Troyer Microsoft (United States)
Ashish Kapoor
Ashish Kapoor Microsoft (United States)
Christopher J. C. Burges
Christopher J. C. Burges Microsoft (United States)
Alfred V. Aho
Alfred V. Aho Columbia University
Paul N. Bennett
Paul N. Bennett Microsoft (United States)
Susan T. Dumais
Susan T. Dumais Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Jaime Teevan
Jaime Teevan Microsoft (United States)
Michael H. Freedman
Michael H. Freedman University of California, Santa Barbara

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a wide range of related online degrees and career options. Many students pursue programs that complement or build upon core tech skills to maximize career flexibility.

For those interested in law enforcement or cybersecurity fields, earning the cheapest online criminal justice degree can provide foundational knowledge while keeping tuition costs low. If your interests lean toward business analytics or finance, understanding the accounting degree online cost can help you budget for an additional online credential that pairs well with computer science skills.

Data science is a rapidly growing area overlapping with computer science. Exploring data science programs can further enhance your ability to analyze big data and pursue roles in advanced analytics.

For those seeking to fast-track their careers, the fastest online construction management degree may appeal to students interested in management roles within the IT infrastructure or tech construction industries.

Balancing cost, specialization, and career outcomes is important when choosing an online degree that best fits your goals.

Best Scientists Citing Krysta M. Svore

Trending Scientists

Recently Published Articles