2026 Charles E. Leiserson: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	70	1812	1754	916	880	200	100232

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

61255
Citations
Cilk: An Efficient Multithreaded Runtime System

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

5459
Citations
Introduction to Algorithms, third edition

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

3818
Citations
Scheduling multithreaded computations by work stealing

Robert D. Blumofe;Charles E. Leiserson

2861
Citations
Fat-trees: universal networks for hardware-efficient supercomputing

Charles E. Leiserson

2063
Citations
Introduction to Algorithms, Second Edition

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

2018
Citations
The implementation of the Cilk-5 multithreaded language

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

1814
Citations
Cache-Oblivious Algorithms

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

1642
Citations
Systolic Arrays for (VLSI).

H T Kung;Charles E Leiserson

1457
Citations
Retiming synchronous circuitry

Charles E. Leiserson;James B. Saxe

1433
Citations
Unbounded Transactional Memory

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

998
Citations
Optimizing synchronous systems

Charles E. Leiserson;James B. Saxe

971
Citations
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Aldo Pareja;Giacomo Domeniconi;Jie Chen;Tengfei Ma

853
Citations
The Cilk++ concurrency platform

Charles E. Leiserson

740
Citations
Optimizing Synchronous Circuitry by Retiming (Preliminary Version)

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

715
Citations
Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks

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

521
Citations
The Network Architecture of the Connection Machine CM-5

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

508
Citations
A comparison of sorting algorithms for the connection machine CM-2

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

487
Citations
The pochoir stencil compiler

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

457
Citations
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

428
Citations
Content delivery network service provider (CDNSP)-managed content delivery network (CDN) for network service provider (NSP)

Timothy N. Weller;Charles E. Leiserson

409
Citations

Frequent Co-Authors

Ronald L. Rivest MIT

Clifford Stein Columbia University

Yuxiong He Microsoft (United States)

Michael A. Bender Stony Brook University

Sivan Toledo Tel Aviv University

Bruce M. Maggs Duke University

Krste Asanovic University of California, Berkeley

Kurt Mehlhorn Max Planck Institute for Informatics

Erik D. Demaine MIT

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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