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Charles E. Leiserson

Charles E. Leiserson

MIT
United States

D-Index & Metrics

Computer Science

D-Index
70
Citations
100232
World Ranking
1812
National Ranking
917

Charles E. Leiserson 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 Charles E. Leiserson 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: 200 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Charles E. Leiserson 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 Charles E. Leiserson 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: 70 D-Index — 87th percentile

87% 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 - IEEE Fellow For leadership in parallel and distributed computing
  • 2016 - Member of the National Academy of Engineering For theoretically grounded approaches to digital design and parallel computer systems.
  • 2015 - SIAM Fellow For enduring influence on parallel computing systems and their adoption into mainstream use through scholarly research and development.
  • 2014 - ACM - IEEE CS Ken Kennedy Award For enduring influence on parallel computing systems and their adoption into mainstream use through scholarly research and development and for distinguished mentoring of computer science leaders and students.
  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2013 - ACM Paris Kanellakis Theory and Practice Award For contributions to efficient and robust parallel computation through both provably efficient randomized scheduling protocols and a set of parallel-language primitives constituting the Cilk framework. Implementations of these protocols and conceptual framework have been deployed on scores of millions of machines and therefore enjoy daily impact.
  • 2006 - ACM Fellow For contributions to parallel and distributed computing.

Overview

Charles E. Leiserson is affiliated with MIT in the United States. Their research primarily focuses on the field of computer science, with specific contributions in artificial intelligence, computer networks and communications, computational theory and mathematics, atomic and molecular physics and optics, and information systems.

The scientist's work spans several subfields, with notable attention to advanced graph neural networks, stochastic gradient optimization techniques, algorithms and data compression, electromagnetic scattering and analysis, optimization and search problems, computability, logic, AI algorithms, and advanced data storage technologies.

Frequent coauthors collaborating with Charles E. Leiserson include Tim Kaler, Tao B. Schardl, Jie Chen, Alexandros-Stavros Iliopoulos, and Aldo Pareja.

Leiserson's recent publications demonstrate a sustained focus on both theoretical and applied aspects of computer science. Significant papers include:

  • "There's plenty of room at the Top: What will drive computer performance after Moore's law?" (2020) published in Science
  • "EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs" (2020) presented at the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining" (2021) published on arXiv (Cornell University)
  • "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining" (2022) released via Zenodo (CERN European Organization for Nuclear Research)
  • "Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching" (2023) published on arXiv (Cornell University)

The venues where Charles E. Leiserson frequently publishes include:

  • arXiv (Cornell University)
  • Science
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)

A number of honors have been conferred upon Leiserson, reflecting contributions to parallel and distributed computing systems as well as digital design and mentoring. These awards include:

  • IEEE Fellow (2016) for leadership in parallel and distributed computing
  • Member of the National Academy of Engineering (2016) for theoretically grounded approaches to digital design and parallel computer systems
  • SIAM Fellow (2015) for enduring influence on parallel computing systems and their adoption through research and development
  • ACM - IEEE CS Ken Kennedy Award (2014) recognizing influence on parallel computing systems and distinguished mentoring
  • ACM Paris Kanellakis Theory and Practice Award (2013) for contributions to efficient and robust parallel computation and the Cilk framework
  • Fellow of the American Association for the Advancement of Science (AAAS) (2013)
  • ACM Fellow (2006) for contributions to parallel and distributed computing

Best Publications

  • Introduction to Algorithms

    Thomas T. Cormen;Charles E. Leiserson;Ronald L. Rivest

  • Cilk: An Efficient Multithreaded Runtime System

    Robert D. Blumofe;Christopher F. Joerg;Bradley C. Kuszmaul;Charles E. Leiserson

  • Introduction to Algorithms, third edition

    Thomas H. Cormen;Charles E. Leiserson;Ronald L. Rivest;Clifford Stein

  • Scheduling multithreaded computations by work stealing

    Robert D. Blumofe;Charles E. Leiserson

  • Fat-trees: universal networks for hardware-efficient supercomputing

    Charles E. Leiserson

  • Introduction to Algorithms, Second Edition

    Ronald L. Rivest;Charles E. Leiserson;Thomas H. Cormen;Clifford Stein

  • The implementation of the Cilk-5 multithreaded language

    Matteo Frigo;Charles E. Leiserson;Keith H. Randall

  • Cache-Oblivious Algorithms

    Matteo Frigo;Charles E. Leiserson;Harald Prokop;Sridhar Ramachandran

  • Systolic Arrays for (VLSI).

    H T Kung;Charles E Leiserson

  • Retiming synchronous circuitry

    Charles E. Leiserson;James B. Saxe

  • Unbounded Transactional Memory

    C.S. Ananian;K. Asanovic;B.C. Kuszmaul;C.E. Leiserson

  • Optimizing synchronous systems

    Charles E. Leiserson;James B. Saxe

  • EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

    Aldo Pareja;Giacomo Domeniconi;Jie Chen;Tengfei Ma

  • The Cilk++ concurrency platform

    Charles E. Leiserson

  • Optimizing Synchronous Circuitry by Retiming (Preliminary Version)

    Charles E. Leiserson;Flavio M. Rose;James B. Saxe

  • Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks

    Aydin Buluç;Jeremy T. Fineman;Matteo Frigo;John R. Gilbert

  • The Network Architecture of the Connection Machine CM-5

    Charles E. Leiserson;Zahi S. Abuhamdeh;David C. Douglas;Carl R. Feynman

  • A comparison of sorting algorithms for the connection machine CM-2

    Guy E. Blelloch;Charles E. Leiserson;Bruce M. Maggs;C. Greg Plaxton

  • The pochoir stencil compiler

    Yuan Tang;Rezaul Alam Chowdhury;Bradley C. Kuszmaul;Chi-Keung Luk

  • There’s plenty of room at the Top: What will drive computer performance after Moore’s law?

    Charles E. Leiserson;Neil C. Thompson;Joel S. Emer;Joel S. Emer;Bradley C. Kuszmaul

  • Content delivery network service provider (CDNSP)-managed content delivery network (CDN) for network service provider (NSP)

    Timothy N. Weller;Charles E. Leiserson

Frequent Co-Authors

Ronald L. Rivest
Ronald L. Rivest MIT
Clifford Stein
Clifford Stein Columbia University
Yuxiong He
Yuxiong He Microsoft (United States)
Michael A. Bender
Michael A. Bender Stony Brook University
Sivan Toledo
Sivan Toledo Tel Aviv University
Bruce M. Maggs
Bruce M. Maggs Duke University
Krste Asanovic
Krste Asanovic University of California, Berkeley
Kurt Mehlhorn
Kurt Mehlhorn Max Planck Institute for Informatics
Erik D. Demaine
Erik D. Demaine MIT
Guy E. Blelloch
Guy E. Blelloch Carnegie Mellon University

External Links

Wikipedia of Charles E. Leiserson Personal website of Charles E. Leiserson Google Scholar page

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Related Online Degrees & Career Pathways

As you explore studying Computer Science in the USA, it's worth considering related fields that offer strong career prospects and interdisciplinary opportunities. Many students interested in technology also pursue adjacent subjects through flexible online degree programs.

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Exploring these related degree pathways can open doors to diverse and rewarding technology careers, both within and beyond computer science.

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Guang R. Gao

Guang R. Gao

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Michael T. Goodrich

Michael T. Goodrich

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Peter Sanders

Peter Sanders

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Publications: 58

Torsten Hoefler

Torsten Hoefler

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Publications: 57

Nir Shavit

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Michael A. Bender

Michael A. Bender

Stony Brook University

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Viktor K. Prasanna

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Yves Robert

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