World's Best Scientists 2026 revealed!
Nancy Lynch

Nancy Lynch

D-Index & Metrics

Computer Science

D-Index
87
Citations
44621
World Ranking
703
National Ranking
371

Nancy Lynch 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 Nancy Lynch 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: 472 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Nancy Lynch 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 Nancy Lynch 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: 87 D-Index — 95th percentile

95% 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

  • 2016 - Member of the National Academy of Sciences
  • 2012 - ACM Athena Lecturer Award Professor Lynch's Athena Lecture was delivered at the 2013 joint meeting of the Symposium on Principles of Distributed Computing (PODC) and the Symposium on Parallel Algorithms and Architectures (SPAA). PODC is sponsored by the ACM Special Interest Group Operating Systems (SIGOPS) and the ACM Special Interest Group on Algorithms and Computations Theory (SIGACT). SPAA is sponsored by SIGACT and the ACM Special Interest Group on Computer Architecture (SIGARCH).
  • 2010 - Fellow of the American Academy of Arts and Sciences
  • 2001 - Member of the National Academy of Engineering For the development of theoretical foundations for distributed computing.
  • 1997 - ACM Fellow For contributions to the theory of distributed computing, including mathematical models and proof techniques, algorithms and impossiblity results.

Overview

Nancy Lynch is a researcher affiliated with MIT in the United States. Their work spans multiple fields centered primarily in engineering and computer science, with a significant focus also on biochemistry, genetics, and molecular biology.

The research encompasses various subfields, including:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cognitive Neuroscience

The main topics covered in their body of work include:

  • Advanced Memory and Neural Computing
  • Insect and Arachnid Ecology and Behavior
  • Animal Behavior and Reproduction
  • Neural Networks and Applications
  • Ferroelectric and Negative Capacitance Devices
  • Neural dynamics and brain function
  • Plant and animal studies

Nancy Lynch has published multiple recent papers that reflect a diverse research scope. These include:

  • Superconducting Nanowire Spiking Element for Neural Networks, 2020, published in Nano Letters
  • A superconducting nanowire-based architecture for neuromorphic computing, 2022, published in Neuromorphic Computing and Engineering
  • A Basic Compositional Model for Spiking Neural Networks, 2022, published in Lecture Notes in Computer Science
  • The Power of Social Information in Ant-Colony House-Hunting: A Computational Modeling Approach, 2020, published in bioRxiv (Cold Spring Harbor Laboratory)
  • Random Sketching, Clustering, and Short-Term Memory in Spiking Neural Networks, 2020, published in Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Their frequent coauthors include:

  • Frederik Mallmann-Trenn
  • Jiajia Zhao
  • Noble Harasha
  • Matteo Castellani
  • Karl K. Berggren

Publication venues where Nancy Lynch frequently appears are:

  • arXiv (Cornell University)
  • Journal of Computational Biology
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Nano Letters
  • Neuromorphic Computing and Engineering

Their contributions have been recognized through several awards, including:

  • Member of the National Academy of Sciences (2016)
  • ACM Athena Lecturer Award (2012)
  • Fellow of the American Academy of Arts and Sciences (2010)
  • Member of the National Academy of Engineering (2001), noted for development of theoretical foundations for distributed computing
  • ACM Fellow (1997), for work on the theory of distributed computing, including mathematical models, proof techniques, algorithms, and impossibility results

Best Publications

  • Distributed algorithms

    Nancy A. Lynch

  • Impossibility of distributed consensus with one faulty process

    Michael J. Fischer;Nancy A. Lynch;Michael S. Paterson

  • Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services

    Seth Gilbert;Nancy Lynch

  • Consensus in the presence of partial synchrony

    Cynthia Dwork;Nancy Lynch;Larry Stockmeyer

  • An introduction to input/output automata

    Nancy Lynch;M.R. Tuttle

  • Hierarchical correctness proofs for distributed algorithms

    Nancy A. Lynch;Mark R. Tuttle

  • A Lower Bound for the Time to Assure Interactive Consistency

    Michael J. Fischer;Nancy A. Lynch

  • Reaching approximate agreement in the presence of faults

    Danny Dolev;Nancy A. Lynch;Shlomit S. Pinter;Eugene W. Stark

  • Forward and backward simulations I.: untimed systems

    Nancy A. Lynch;Frits W. Vaandrager

  • Probabilistic simulations for probabilistic processes

    Roberto Segala;Nancy Lynch

  • Hybrid I/O automata

    Nancy Lynch;Roberto Segala;Frits Vaandrager

  • A comparison of polynomial time reducibilities

    Richard E. Ladner;Nancy A. Lynch;Alan L. Selman

  • Comparison of polynomial-time reducibilities

    Richard Ladner;Nancy Lynch;Alan Selman

  • Forward and Backward Simulations

    Nancy Lynch;Frits Vaandrager

  • Distributed computation in dynamic networks

    Fabian Kuhn;Nancy Lynch;Rotem Oshman

  • Probabilistic Simulations for Probabilistic Processes

    Roberto Segala;Nancy A. Lynch

  • A new fault-tolerant algorithm for clock synchronization

    Jennifer Lindelius Welch;Nancy Lynch

  • An upper and lower bound for clock synchronization

    Jennifer Lundelius;Nancy A. Lynch

  • Easy impossibility proofs for distributed consensus problems

    Michael J. Fischer;Nancy A. Lynch;Michael Merritt

  • Hybrid I/O automata

    Nancy Lynch;Roberto Segala;Frits Vaandrager;H. B. Weinberg

  • A new fault-tolerant algorithm for clock synchronization

    Jennifer Lundelius;Nancy Lynch

  • Hybrid I/O automata

    N. Lynch;R. Segala;F.W. Vaandrager;H.B. Weinberg

Frequent Co-Authors

Roberto Segala
Roberto Segala University of Verona
Seth Gilbert
Seth Gilbert National University of Singapore
Michael J. Fischer
Michael J. Fischer Yale University
Alan Fekete
Alan Fekete University of Sydney
Frits W. Vaandrager
Frits W. Vaandrager Radboud University
Sayan Mitra
Sayan Mitra University of Illinois at Urbana-Champaign
Ran Canetti
Ran Canetti Boston University
Hagit Attiya
Hagit Attiya Technion – Israel Institute of Technology
Fabian Kuhn
Fabian Kuhn University of Freiburg

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